Thinks 1090

Peter Boettke: “Writing [Milton Friedman’s] biography presents a unique challenge owing to the immensity of his professional stature and the duration of his excellence from the 1930s through the early 2000s. Jennifer Burns in Milton Friedman: The Last Conservative is every bit up to the challenge. Deeply researched and beautifully written, her book makes the personal and intellectual life of Friedman jump off the page. Burns not only captures Friedman’s life but conveys in her telling of that story the broader intellectual life of America and the global political and economic order of the 20th century. Her book gives us a history of the Chicago School and monetarism while delineating the methodological, analytical, and ideological battle lines of the economics profession. Along the way, we learn about the broader contours of the intellectual and political movements of the Cold War, among them the tension-filled coalition of free-market classical liberals and conservative anti-communist Republicans, and right-wing extremists from whom Friedman consistently strove to distance himself. And we learn too about the international spread of free-market ideas between 1980 and 2005.”

NYTimes: “Take a smidgen of hydrogen, then blast it with lasers to set off a small thermonuclear explosion. Do it right, and maybe you can solve the world’s energy needs. A small group of start-ups have embarked on this quest, pursuing their own variations on this theme — different lasers, different techniques to set off the fusion reactions, different elements to fuse together. “There has been rapid growth,” said Andrew Holland, chief executive of the Fusion Industry Association, a trade group lobbying for policies to speed the development of fusion.”

Siddharth Pai: “What has let Indian IT majors stick with their ‘paisa vasool’ (value for money) model is that the growth in salaries for Indian engineers has not kept pace with the growth in our economy. This is most evident in the starting salaries being offered by our IT majors to fresh engineering graduates. These packages have remained more or less constant for almost two decades, with insufficient correction for inflation. In my experience, in the early 2000s, fresh graduate engineers in India could expect modest starting salaries in the range of ₹2.5-3 lakh per annum (or $4,500-6,500 at then prevailing exchange rates). Apart from some exceptions, it appears as if the hiring of fresh engineering talent at the same low salaries as two decades ago is an exploitative tactic that is still used by the country’s IT majors. Accounting for inflation, this means that engineers graduating today are only making a fraction of what their seniors did 20 years ago! The only exception was the sudden surge during the pandemic, which pushed global clients to outsource more of their operations in a bid to keep down costs. This surge in offshore demand forced the usually stingy Indian IT majors to pay large premia to poach people from one another.”

Suzanne Heywood: “The biggest thing from my past which shaped me as a leader is being calm and resilient. One of the things that you learn being at sea and you learn when you’re in life-threatening situations, which I was multiple times as a child and as a young adult, is you can’t panic when you’re under threat.”

Making Better Decisions

Published December 26, 2023

1

The Road Taken…Or Not

Every day, we are faced with an array of decisions. Some are routine and seem inconsequential, while others possess the power to shape the trajectories of our lives, especially in the business world. My own journey has been punctuated by these pivotal moments.

In the summer of 1994, I grappled with the future of my failing image processing venture. By the end of that year (after having decided to shut down the imaging startup), I was contemplating the nature of my next enterprise – an India-centric Internet startup or a different pursuit. Over the years, I found myself at the crossroads more than once: deciding on content domains in ’96, choosing a buyer for IndiaWorld in ’99, relinquishing control of Netcore to a professional CEO in 2007, contemplating a political startup for the 2014 elections, reevaluating Nayi Disha’s direction in 2019, and in 2022, making a momentous decision about acquiring Unbxd for a staggering $100 million – a milestone for Netcore.

Each decision took me down a certain path. In every case, there was an alternative. I had to decide on the future direction within a limited timeframe. While I could take multiple inputs from others, the final call was mine. Every decision was about the future – one I had no way of knowing or predicting. I would never have perfect information to decide. Decision-making often boiled down to a leap of faith into an unpredictable tomorrow.  If I was wrong, the decision could bring some pain and even entail financial losses.

When I have to make big decisions, I  do what perhaps many of us do – list out the pros and cons, talk to a few people we trust for inputs, imagine the possible futures based on the choices we make, play out the worst-case scenario should the decision go bad, and perhaps even procrastinate. And yet, there comes a time when the decision cannot be delayed anymore. A deadline approaches. With hesitating finality, an answer must be given, a path must be chosen. One is never fully sure of how things will play out so there is always a moment of self-doubt, and even a “if only I had chosen the other path” feeling. In big and important decisions, there is no going back. For an entrepreneur and leader, there is no higher-up to pass on the buck for a bad decision. A mistake will have costs, and it may quite some time till one realises that an error of judgement has been made. There is the other side – the joy and ecstasy of having made the right move, which becomes a game changer taking the business into a new orbit. Every entrepreneur knows this dance well – between self-doubt and conviction, between lamenting what might have been and the euphoria of a decision that propels a business to new heights.

So, amidst this whirlwind of emotions and consequences, is there a way to consistently make better decisions? Let’s learn from the wisdom of others.

2

Decisions and Outcomes

Annie Duke writes in “How to Decide”: “Because any decision determines only the set of possible outcomes (some good, some bad, some in between), this means good outcomes can result from both good and bad decisions, and bad outcomes can result from both good and bad decisions.” Here is a helpful graphic:

Annie explains the four cells:

  • An Earned Reward comes when you make a good-quality decision that results in a good outcome, like when you proceed through a green light and get through the intersection safely.
  • Dumb Luck comes when you make a poor-quality decision that turns out well. You can be waiting at a traffic light and fail to notice the light has turned green because you are deeply entranced by the world’s most important tweet. If, while you are sitting there failing to proceed through the intersection, you happen to avoid getting in an accident with a car whose driver ignores the red light in their direction and barrels through the intersection, that doesn’t make looking at Twitter while driving a good decision. That’s just Dumb Luck.
  • Bad Luck comes when you make a good-quality decision that turns out poorly. You can proceed through a green light and get in an accident with someone turning into traffic. That’s a bad outcome, but it wasn’t because your decision to follow the traffic laws was poor.
  • Just Deserts means making a poor-quality decision that results in a bad outcome, like running a red light and getting in an accident.

Some additional inputs:

  • The only thing you have control over that can influence the way your life turns out is the quality of your decisions.
  • Determining whether a decision is good or bad means examining the quality of the beliefs informing the decision, the available options, and how the future might turn out given any choice you make.
  • Resulting: A mental shortcut in which we use the quality of an outcome to figure out the quality of a decision…A necessary part of becoming a better decision-maker is learning from experience. Experience contains the lessons for improving future decisions. Resulting causes you to learn the wrong lessons.
  • Luck exerts its influence between your decision and which of the possible paths you end up on. It is the element you have no control over that determines which of the possible outcomes you actually observe in the short run.

In her book, Annie outlines six steps to better decision-making:

  • Step 1—Identify the reasonable set of possible outcomes.
  • Step 2—Identify your preference using the payoff for each outcome—to what degree do you like or dislike each outcome, given your values?
  • Step 3—Estimate the likelihood of each outcome unfolding.
  • Step 4—Assess the relative likelihood of outcomes you like and dislike for the option under consideration.
  • Step 5—Repeat Steps 1–4 for other options under consideration.
  • Step 6—Compare the options to one another.

She adds: “Your greatest challenge as a decision-maker is seeing things that, by their nature, are going to be hazy. For past decisions, you’re reconstructing the decision while navigating your way through distortion-inducing biases. For new decisions, you’re looking into the future, which is inherently uncertain. This six-step process will help you improve the quality of both new decisions on your horizon and your assessment of past decisions. It’s hard to accurately assess a decision after the fact, in the shadow of an outcome that has already happened. But if you have a good decision process going forward, and keep a record of it, you’ll be a lot better off. You won’t have to wonder after the fact whether a decision was good or bad, under the haze of resulting and hindsight bias.”

Here is more from ChatGPT on the key ideas in the book:

  1. Backcasting and Precommitment: When faced with a decision, imagine a future where a positive outcome has occurred, then work backward to figure out the steps that led to that outcome. Precommit to decisions and set clear criteria before entering a situation where emotions might sway your choices.
  2. Decide in Bets: When making a decision, think of it as placing a bet on a particular outcome. Assess the risks, rewards, and probabilities associated with each option.
  3. Seek Feedback: Constructive feedback can help improve your decision-making process. Create an environment where you and others can provide feedback without fear of retribution.
  4. Use Decision Journals: Keep a journal of your decisions. Note the context, the decision made, the expected outcome, and the reasons for the decision. This helps you learn from your experiences and refine your process over time.
  5. Decision Hygiene: Introduce practices that minimize biases and errors in decisions. This includes techniques such as considering the opposite of your initial instinct, breaking decisions into smaller components, and being wary of data that seems too good to be true.
  6. Tackle Decisions Sequentially: Instead of trying to decide all at once, break decisions into smaller parts and tackle them one at a time. This can reduce complexity and make the process more manageable.
  7. Use Tools and Frameworks: Tools like decision trees, pros-and-cons lists, and weighted factor models can help structure your thinking and lead to better decision outcomes.

3

Zoom In, Zoom Out

In their book, “Decisive”, Chip Heath and Dan Heath write:

“A remarkable aspect of your mental life is that you are rarely stumped,” said Daniel Kahneman, a psychologist who won the Nobel Prize in economics for his research on the way that people’s decisions depart from the strict rationality assumed by economists. In his fascinating book, Thinking, Fast and Slow, he describes the ease with which we draw conclusions: “The normal state of your mind is that you have intuitive feelings and opinions about almost everything that comes your way. You like or dislike people long before you know much about them; you trust or distrust strangers without knowing why; you feel that an enterprise is bound to succeed without analyzing it.”

Kahneman says that we are quick to jump to conclusions because we give too much weight to the information that’s right in front of us, while failing to consider the information that’s just offstage. He called this tendency “what you see is all there is.”…We’ll refer to this tendency as a “spotlight” effect.

… That, in essence, is the core difficulty of decision making: What’s in the spotlight will rarely be everything we need to make a good decision, but we won’t always remember to shift the light. Sometimes, in fact, we’ll forget there’s a spotlight at all, dwelling so long in the tiny circle of light that we forget there’s a broader landscape beyond it.

They identify the four villains of decision-making:

  • You encounter a choice. But narrow framing makes you miss options.
  • You analyze your options. But the confirmation bias leads you to gather self-serving information.
  • You make a choice. But short-term emotion will often tempt you to make the wrong one.
  • Then you live with it. But you’ll often be overconfident about how the future will unfold.

The solutions, remembered by the mnemonic WRAP for the four verbs:

  • Widen Your Options. How can you expand your set of choices?
  • Reality-Test Your Assumptions. How can you get outside your head and collect information that you can trust?
  • Attain Distance Before Deciding. How can you overcome short-term emotion and conflicted feelings to make the best choice?
  • Prepare to Be Wrong. How can we plan for an uncertain future so that we give our decisions the best chance to succeed?

One of the ideas they discuss is “Zoom Out, Zoom In” as part of the process to attain distance before deciding. It’s a way of gaining a broader perspective on a problem or decision. Here’s a summary:

Zoom Out

  • This means taking a step back to see the bigger picture. When we’re deeply involved in a situation, it’s easy to lose perspective and get caught up in the minutiae. By “zooming out,” you can detach from the immediate details and see things in a broader context.
  • One tactic is to consider how other people in similar situations have handled similar decisions or challenges. This broader vantage point can offer valuable insights.
  • Another approach is to ask, “What would I advise a close friend to do if they were in this situation?” This reframing can help sidestep personal biases and offer clarity.

Zoom In

  • After zooming out, it’s crucial to “zoom in” to get a close-up view of the situation. This means immersing yourself in the specifics to ensure you’re not missing any essential details.
  • One way to do this is by grounding decisions in concrete, tangible facts and realities. It might involve firsthand observation or seeking out detailed feedback.
  • By focusing closely, you can make sure you’re not overlooking critical elements that could impact your decision.

This combination of “big-picture view and close-up” offers a balanced perspective. While zooming out provides a broader context and reduces emotional biases, zooming in ensures that decisions are grounded in the real, tangible aspects of the situation at hand. It’s a method to counteract both the tunnel vision that can come with being too close to a problem and the potential oversight of missing crucial details.

4

Consequential and Irreversible

Shane Parrish writes in his book, “Clear Thinking”: “In order to get the results we desire, we must do two things. We must first create the space to reason in our thoughts, feelings, and actions; and second, we must deliberately use that space to think clearly. Once you have mastered this skill, you will find you have an unstoppable advantage. Decisions made through clear thinking will put you in increasingly better positions, and success will only compound from there.”

In 2020, I had done a course offered by Shane Parrish on “Decision by Design.” In the introduction to the course, Shane wrote: “Great decision making happens more like running multiple experiments at once. You create multiple hypotheses and test them simultaneously. You refine the experiments that are working based on the failed ones.  While each decision is its own unique situation, there are common skills that put you on the path toward success. You can think of it more like a sandwich, the top and bottom are important, but the order of the ingredients in the middle changes every time.  That’s why instead of teaching you a linear process, in this program we’re focusing on teaching you how to master the skills that apply throughout the process. So you can come into any decision, at any point, and add incredible value. Or you can see any problem at any point and identify where something may have gone wrong.”

The course covered 12 skills:

One of my biggest takeaways from the course for me was the importance of identifying consequential and irreversible decisions. This is a graphic from Shane’s book:

He writes: “When a decision is highly consequential and irreversible, its effects ripple throughout your life, and there’s no way to stop them. Some people call these “lead dominoes.” When decisions are like lead dominoes, the cost of a mistake is high. Exactly the opposite is true of a decision that’s inconsequential and easily reversed. The cost of a mistake is low: if you don’t like the outcome, you can just reverse it. The biggest mistake in cases like these is wasting time and mental energy. If you can take something back, or it doesn’t really matter, continuing to gather information becomes a drain on resources.”

He suggests three principles:

  • The ASAP principle: If the cost to undo the decision is low, make it as soon as possible.
  • The ALAP principle: If the cost to undo a decision is high, make it as late as possible.
  • The Stop, FLOP, Know principle: Stop gathering more information and execute your decision when either you Stop gathering useful information, you First Lose an OPportunity (FLOP), or you come to Know something that makes it evident what option you should choose.

Here is another helpful graphic:

Elaborating on the last principle, Shane writes: “It’s finally time to act when you come to know something that makes it clear what you should do. Sometimes you gather a critical piece of information that makes your decision easy, perhaps a First Lost Opportunity. Other times, especially in more ambiguous situations like relationships, it’s just a gut feeling that doesn’t go away or change. Either way, there’s always a moment when you simply know at a core level exactly what to do.”

5

First-Principles Thinking

Ozan Varol, in his book “Think like a Rocket Scientist”, writes: “Process, by definition, is backward looking. It was developed in response to yesterday’s troubles. If we treat it like a sacred pact—if we don’t question it—process can impede forward movement. Over time, our organizational arteries get clogged with outdated procedures…When necessary, we must unlearn what we know and start over. This is why Andrew Wiles—the mathematician who solved the centuries-old Fermat’s last theorem—said, “It’s bad to have too good a memory if you want to be a mathematician. You need to forget the way you approached [the problem] the previous time.”…Knowledge is good. But knowledge should inform, not constrain. Knowledge should enlighten, not obscure. Only through the evolution of our existing knowledge will the future come into focus. The tyranny of our knowledge is only part of the problem. We’re constrained not only by what we’ve done in the past, but also by what others have done as well.”

What Ozan advocates is first-principles thinking. He writes:

The credit for first-principles thinking goes to Aristotle, who defined it as “the first basis from which a thing is known.” The French philosopher and scientist René Descartes described it as systematically doubting everything you can possibly doubt, until you’re left with unquestionable truths. Instead of regarding the status quo as an absolute, you take a machete to it. Instead of letting your original vision—or the visions of others—shape the path forward, you abandon all allegiances to them. You hack through existing assumptions as if you’re hacking through a jungle until you’re left with the fundamental components.

…For Musk, using first principles meant starting with the laws of physics and asking himself what’s required to put a rocket in space. He stripped a rocket down to its smallest subcomponents—its fundamental raw materials. “What is a rocket made of?” he asked himself. “Aerospace-grade aluminum alloys, plus some titanium, copper, and carbon fiber. And then I asked, what is the value of those materials on the commodity market? It turned out that the materials cost of a rocket was around 2 percent of the typical price—which is a crazy ratio.”… So Musk decided to cut his own metal and construct his next-generation rockets from scratch.

…[Invisible rules] are habits and behaviors that have unnecessarily rigidified into rules. They’re unlike written rules, which are visible. The written rules appear right there in the standard operating procedures and can be amended or deleted…[I]nvisible rules…are the silent killers that constrain our thinking without our being aware of it.

…[F]irst-principles thinking should be deployed where it matters the most. To mop the mist collected on your mental windshield in those areas and expose the invisible rules governing your life, spend a day questioning your assumptions. With each commitment, each presumption, each budget item, ask yourself, What if this weren’t true? Why am I doing it this way? Can I get rid of this or replace it with something better?

…If you’re trying to transform an industry, it makes sense to look outside the industry for talent. That’s where you’ll find people who aren’t blinded by the invisible rules—the white tablecloths—that constrain their thinking. In its early days, SpaceX would often hire people from the automotive and cell-phone industries. These are fields where technologies change rapidly, requiring quick learning and adaptation—the hallmark of first-principles thinkers.

First-principles thinking is a problem-solving and decision-making approach that involves breaking down complex ideas and problems into their most fundamental underlying components or principles. Instead of relying on analogies, conventions, or past norms, first-principles thinking directs us to dive deep into the problem and understand its basic elements. Once identified, these fundamental principles can then be reassembled in a creative manner to devise innovative solutions. In essence, first-principles thinking prevents one from getting trapped in prevailing modes of thought and opens the door for genuine innovation by returning to the basics and building from there.

6

Second-level Thinking

Second-level thinking is a concept often attributed to Howard Marks. He calls it, “The Most Important Thing.” In the context of decision-making, it refers to the ability to think beyond the immediate and obvious implications of a decision and to consider the next-level consequences and possibilities that might not be readily apparent.

First-level thinking is superficial and simplistic. It might involve making decisions based on obvious facts or popular consensus. For instance, in an investment context, first-level thinking might be: “This company’s earnings are rising, so its stock is a good buy.” Second-level thinking delves deeper, asking questions like: “If everyone believes this company’s stock is a good buy because earnings are rising, perhaps it’s already overvalued. What are the underlying factors driving the earnings growth? Can they be sustained? What are the broader market dynamics at play? How might competitors respond?”

Second-level thinking is about understanding the complexities and nuances of a situation, challenging the initial assumptions, and looking for deeper insights that might give one an edge in decision-making. It’s about trying to see things that others don’t, predicting how situations might play out based on a multitude of factors, and making decisions that account for these deeper insights.

From Howard Marks’ book: “Remember, your goal in investing isn’t to earn average returns; you want to do better than average. Thus, your thinking has to be better than that of others—both more powerful and at a higher level. Since other investors may be smart, well-informed and highly computerized, you must find an edge they don’t have. You must think of something they haven’t thought of, see things they miss or bring insight they don’t possess. You have to react differently and behave differently. In short, being right may be a necessary condition for investment success, but it won’t be sufficient. You must be more right than others … which by definition means your thinking has to be different.”

In an investor note, he wrote: “Second-level thinkers double-think (and triple-think) every angle of every situation. A good example can be seen in the hypothetical newspaper contest John Maynard Keynes wrote about in 1936. Readers would be shown 100 photos and asked to choose the six prettiest girls, with prizes going to the readers who chose the girls readers voted for most often. Naive entrants would try to win by picking the prettiest girls. But note that the contest would reward the readers who chose not the prettiest girls, but the most popular. Thus the road to winning would lie not in figuring out which were the prettiest, but in predicting which girls the average entrant would consider prettiest. Clearly, to do so, the winner would have to be a second-level thinker. (The first-level thinker wouldn’t even recognize the difference.)”

By engaging in second-order thinking, we can make more informed decisions that are likely to have positive outcomes in the long run. This type of thinking can help us to avoid making decisions that may seem beneficial in the short term but could have negative consequences in the future. In addition to considering the long-term consequences of our decisions, second-order thinking also involves considering the potential unintended consequences. For example, a decision that seems to be beneficial for one group of people may have negative consequences for another group. By taking into account the potential unintended (and often unseen) effects of our decisions, we can make more better choices.

Second-order thinking is a valuable skill that can be applied to all areas of our lives. By developing our ability to think in this way, we can make better decisions that are more likely to lead to positive outcomes.

7

Rapid Response Teams

Pawel Moetyl, in his book, “Labyrinth”, looks at “the most prevalent weak spots in decision-making processes, not only in business but in life in general; during crisis and calmer times; in both individual and group decisions.” Pawel tries to “to answer the question of how to make decisions that are simultaneously rational, effective, and wise.” Among the common errors he identifies: relying on past successes, ignoring significant information, conducting superficial analysis, yielding to outside pressure, putting too much faith in luck, or misinterpreting important data.

Pawel writes:

There are three fundamental approaches to the decision-making process, each with its own particular advantages depending on circumstances.

The first approach is called routinized decision-making—essentially an intuitive approach in which we make a decision unconsciously, drawing on repeated experiences and ingrained habits and decision-making mechanisms without thinking too much about them. It sounds dangerous, but the routinized approach is the one that we naturally use for making recurring decisions in known conditions (i.e., when we know exactly what the effects of an action will be). In such conditions, routinized decision-making not only works, but thanks to the extra automaticity of this method of deciding, it also saves our brains the time and energy needed for more important, conscious choices.

In advocacy mode, when we encounter a problem that requires us to make a decision, we rely on our prior experience, knowledge, and sense of the situation to point us toward an appropriate solution. Once we find a starting point, we look for information to confirm that our idea is a good one, and if we find that information, we make our decision and then act on it. In this mode, decision-makers and teams operate quickly and effectively, looking for key pieces of information that are pertinent to the choice to be made. Advocacy therefore works in numerous situations where we are dealing with classically understood risk management—that is, when we know what the consequences of a decision will be and how likely it is that they will occur…The vast majority of business decisions are made in this mode, as it enables us to save one of our most precious resources: time.

In the context of a black swan event, …the third decision-making approach—inquiry—should be the only option. With inquiry mode, the decision-maker tries to analyze all the available data, to review the evidence from all angles, involving as many people and perspectives as possible. This leads to open, constructive discussion and an intellectual battle of ideas (detailed discussion of different options, actions, and possible scenarios), but without affective (personal) conflicts…Inquiry is certainly the most time-consuming approach, but it helps anyone using it to make the best possible decisions, based on a thorough analysis of the data and assessment of possible scenarios.

A rapid response team is one way to deal with black swans. Writes Pawel: “An organization that reacts faster than its competitors can not only not lose in a black swan situation, but may even gain. At the same time, truly unexpected situations typically create chaos in an organization, and too much time passes before the key people recover from the shock and set in action the appropriate mechanisms. For this reason, more and more organizations are setting up rapid response teams (sometimes even calling them the black swan response team), made up of people from a number of departments, with varying competencies and a range of experiences, whose task is to shorten the time is takes to react to a crisis. These teams meet often and rehearse reacting to different types of black swans. They analyze how to respond to events on a global, sectoral, organizational, team, and individual level, looking for weak points in the company that require immediate action. They also force others to discuss new solutions and promote the inquiry mode.”

Among some of the rules suggested:

  • If you find yourself in a black swan situation, go into inquiry mode. Whatever your intuition or experience is telling you may be wrong.
  • Set up your own Executive Committee. Surround yourself with people who don’t think like you. Value those who disagree with you, and who aren’t afraid to say it.
  • When improving an organization, also pay attention to the best and most efficient processes. In a black swan situation, they can fail. Do you have a backup plan?
  • Shoot down Concordes and hunt for monkey habits. Eliminating loss-making projects and bad practices frees up time for other things, increasing a company’s agility and flexibility.

Pawel adds: “Rapid response teams act so that any eventual black swan attacks with less force. They relentlessly test an organization and its components from the point of view of the unexpected. They optimize processes, structures, resources, and working practices. They free up time and energy. An effect of their work is a kind of decisional Kaizen, constantly seeking minimal gains that make a firm more agile and thus better prepared for a surprise scenario.”

8

Asking Right Questions

In any decision-making process, one of the biggest hurdles is the question and process. Paul Magnone, Christopher Frank and Oded Netzer provide some interesting insights in their book, “Decisions over Decimals.” They write:

What distinguishes a person who makes smart, confident data‐driven decisions? It is not exceptional analytic skills. Instead, successful decision‐makers balance data, experience, and intuition. They quickly sort through information, apply judgment, and are fierce interrogators of data to cultivate sharp insights. They know there is more to decision‐making than just the data. They resist being intoxicated by information. Instead, they apply first‐order principles to understand what the decision really is, why it must be taken, and to what end. They then seek the relevant data to help make that decision. In short, they make informed decisions with incomplete information.

This approach to fast decision‐making taps into a different set of skills, requiring a change in mindset by combining information and intuition. We call this approach Quantitative Intuition (QI). QI is the product of years of discovery about making effective and efficient decisions. For too long, the debate has been on the value, veracity, and variety of Big Data. This trend has shifted the problem from data exploration to data sifting. This book dives into this emerging method to reimagine making decisions with imperfect information. By sharing a set of rapid response tools to get to the core of any business challenge, QI enables the reader to quickly interrogate and integrate data to make quick, effective, and often bold decisions. QI emphasizes the need to break the allure that an abundance of data is a crystal ball to eliminate all uncertainty and lead to perfect decisions.

… Being able to combine qualitative thinking and intuition means possessing the ability to make confident decisions with incomplete information while counterbalancing our fear of failure. It means transforming different pieces of information into a decision by adopting a parallel view of all issues that matter, rather than just considering each piece of information separately and sequentially. Furthermore, it means enhancing our business acumen with the ability to spot patterns while also challenging how much value we are willing to attribute to those patterns and the data.

A starting point in the process is asking what the authors term as “divergent questions.” An explainer: “These are open‐ended questions that encourage many answers. These questions can best be understood as exploratory—as means for analyzing a situation, problem, or complexity in greater detail and then predicting different outcomes. Frequently the goal is to stimulate creative thought or to expand the conversation.” Some examples:

  • Go/No Go: Why are we talking about this now?
  • Clarification: What is the meaning?
  • Assumptions: What are your assumptions?
  • Foundational: How do we know this to be true?
  • Action: What could be done? What should be done?
  • Cause: What is the context? Why did this happen?
  • Effect: What will be the impact or outcome?

In any problem solution or decision-making exercise, the key is to get to the crux. As the authors write: “[The] first step is to ask ourselves one straightforward but extremely powerful question: What do I wish I knew to make the best decision possible?” Their solution:

IWIK, as we’ll henceforth refer to the formula “I wish I knew,” has a particular goal: to identify the core fundamental issue that needs to be solved. IWIK accelerates your team’s thinking to establish awareness of what you know and what knowledge is necessary to make an informed decision. By focusing on what matters, IWIK speeds up the decision‐making process.

… Agile decision‐making is grounded in how you think, not how hard you work. Either through repetition or observation, we have all developed habits that undermine our ability to solve a problem. We jump into solution mode, accepting what is asked of us at face value, often confusing activity with impact. In our rush toward a solution, we neglect to frame the problem. We need to understand this crucial insight: The quality of your decision is directly proportional to the effort invested in framing the problem. The frame enables you to narrow what you need to solve.

IWIK is a tool—a thinking technique, if you will—that’s designed to help you frame the problem. It clarifies priorities, uncovers the essential information needed, quickly identifies knowledge gaps, defines assumptions, and reveals biases that might threaten to influence, slow, or shape a decision.

There are four parts to the IWIK process, as the authors outline:

  • Ask: Getting the right people to think about the right questions. “The goal of the initial communication is to kick‐start the thinking process, to prime the brain pump, so to speak. You’re not overwhelming them with sticky notes, whiteboards, or breakout sessions; you’re just asking them to start considering and contemplating. As a result, by the time you meet in person or virtually for your session, each participant should be in the right mindset to think creatively.”
  • Brainstorm: Optimizing the discovery of information. “You should plan to conduct successive rounds of sessions with various stakeholders. By its very nature, the goal of the exercise is to expose knowledge gaps, and it is essential, as a leader, to understand and appreciate that some people are more comfortable than others highlighting what they don’t know and acknowledging the limits of their competencies. Small group discussions have the advantage of unlocking conversations that may not happen in other group settings because of fear or inhibition.”
  • Capture: Leading IWIK discussions. “Your role is that of a scribe. When you ask your colleagues or clients “What do you wish you knew?”, you’re extending an invitation to them to think expansively without concern for existing data, time, resources, headwinds, budgets, or guard rails… An interesting dynamic occurs after you pose the IWIK question: The mode slowly shifts from a quiet, awkward silence to one of high energy. Once the questions start flowing, your colleagues, liberated from the pressure to know and have answers, may actually feel unable to stop…The output of an IWIK session will be a series of statements or questions highlighting what people want to know.”
  • Deliberate: Ordering, aggregating, and synthesizing IWIKs. “The goal of organizing the IWIKs is to identify patterns in the requests and look for duplicates and outliers. You’re on the path to understanding the root of the issue, and this, in turn, will inform the essential data you need, guide the specific analysis required, and focus your efforts on what matters most to your stakeholders, leading to faster, more confident decisions.

The aim is to create the IWIK Knowledge Matrix:

In conclusion, the authors write: “IWIK and the Knowledge Matrix are designed to prevent companies from the immense temptation to drown themselves in data. They won’t help you answer every single question that might possibly be related to solving a greater problem, but they will help you determine what the most important and salient questions are for framing the problem at hand.”

9

Rethinking

There are times when we will realise that a decision we have made has not gone as expected. We are having second thoughts. We need to rethink. In his book “Think Again”, Adam Grant asks us to “let go of knowledge and opinions that are no longer serving you well, and to anchor your sense of self in flexibility rather than consistency. If you can master the art of rethinking, I believe you’ll be better positioned for success at work and happiness in life. Thinking again can help you generate new solutions to old problems and revisit old solutions to new problems. It’s a path to learning more from the people around you and living with fewer regrets. A hallmark of wisdom is knowing when it’s time to abandon some of your most treasured tools—and some of the most cherished parts of your identity.”

He writes: “[Rethinking] starts with intellectual humility—knowing what we don’t know. We should all be able to make a long list of areas where we’re ignorant…Recognizing our shortcomings opens the door to doubt. As we question our current understanding, we become curious about what information we’re missing. That search leads us to new discoveries, which in turn maintain our humility by reinforcing how much we still have to learn. If knowledge is power, knowing what we don’t know is wisdom.”

I asked Bard to list out a few key ideas from Adam’s book:

  • The first-instinct fallacy: We tend to believe that our first thought or idea is the best one. However, Grant argues that our first instincts are often wrong. We are more likely to be correct if we take the time to consider alternative perspectives and to gather more information.
  • The desirability bias: We tend to see what we want to see. This can lead us to overlook evidence that contradicts our beliefs. In order to make better decisions, we need to be aware of our own biases and to actively seek out information that challenges our views.
  • The confirmation bias: We tend to seek out information that confirms our existing beliefs. This can lead us to become entrenched in our own views and to be resistant to change. In order to be more open-minded, we need to be willing to consider evidence that contradicts our beliefs.
  • The sunk cost fallacy: We tend to continue investing in a course of action even when it is no longer the best option. This is because we feel a sense of ownership over our past decisions. In order to make better decisions, we need to be willing to admit when we have made a mistake and to change course.
  • The argumentation mindset: We tend to approach conversations with the goal of winning. This can lead us to become defensive and to close our minds to alternative perspectives. In order to have more productive conversations, we need to approach them with the goal of learning.

At the end of the book, Adam lists out takeaways for individual rethinking. A few among them:

  • Think like a scientist. When you start forming an opinion, resist the temptation to preach, prosecute, or politick. Treat your emerging view as a hunch or a hypothesis and test it with data. Like the entrepreneurs who learned to approach their business strategies as experiments, you’ll maintain the agility to pivot.
  • Beware of getting stranded at the summit of Mount Stupid. Don’t confuse confidence with competence. The Dunning-Kruger effect is a good reminder that the better you think you are, the greater the risk that you’re overestimating yourself—and the greater the odds that you’ll stop improving. To prevent overconfidence in your knowledge, reflect on how well you can explain a given subject.
  • Harness the benefits of doubt. When you find yourself doubting your ability, reframe the situation as an opportunity for growth. You can have confidence in your capacity to learn while questioning your current solution to a problem. Knowing what you don’t know is often the first step toward developing expertise.
  • Don’t shy away from constructive conflict. Disagreements don’t have to be disagreeable. Although relationship conflict is usually counterproductive, task conflict can help you think again. Try framing disagreement as a debate: people are more likely to approach it intellectually and less likely to take it personally.
  • Practice the art of persuasive listening. When we’re trying to open other people’s minds, we can frequently accomplish more by listening than by talking. How can you show an interest in helping people crystallize their own views and uncover their own reasons for change? A good way to start is to increase your question-to-statement ratio.

10

More Frameworks

In this essay, I discussed the following decision-making frameworks:

  • Decisions and Outcomes, by Annie Duke
  • Zoom in, Zoom out (part of WRAP), by Chip and Dan Heath
  • Consequential and Irreversible, by Shane Parrish
  • First Principles Thinking, by Ozan Varol
  • Second-level Thinking, by Howard Marks
  • Rapid Response Teams, by Pawel Moetyl
  • I Wish I Knew, from “Decisions over Decimals”
  • Rethinking, by Adam Grant

Here are some more:

The Eisenhower Matrix: Developed from a quote by President Dwight D. Eisenhower, the matrix is a simple four-quadrant box that helps categorise tasks by urgency and importance. It helps differentiate between what’s urgent and what’s important, ensuring that time and resources are spent on tasks that align with larger goals.

A3 Thinking: Originated from Toyota’s lean management philosophy, A3 thinking focuses on problem-solving, proposing changes, and continuous improvement. The ‘A3’ references the international paper size used to document the process. By containing everything on a single page, it forces clarity, brevity, and disciplined thinking.

Six Thinking Hats: Proposed by Edward de Bono, the Six Thinking Hats method requires participants to adopt various ‘modes of thinking’ (symbolized by different coloured hats). Each hat represents a unique perspective, allowing groups to examine issues from multiple angles and reduce bias.

Cost-Benefit Analysis: A systematic process to weigh the total expected costs against the total expected benefits of one or more actions in order to choose the best or most profitable option. The fundamental principle behind the cost-benefit analysis is to ensure decisions are made based on objective data.

Pareto Analysis (80/20 rule): Focuses on identifying the 20% of causes that are responsible for 80% of the effects. Helps in prioritising tasks or identifying areas of maximum impact.

Intuitive Decision-Making: Rather than always relying on structured frameworks, intuitive decision-making emphasizes using one’s intuition or ‘gut feeling’. This mode of decision-making acknowledges that humans have an innate ability to recognize patterns and make decisions based on this subconscious understanding.

Decision Matrix: A tool used to evaluate and prioritise a list of options. The matrix helps in ranking options based on certain criteria, making it easier to choose the most suitable option.

Cynefin Framework: Developed by Dave Snowden, it is a tool that helps leaders categorise problems into five domains: Obvious, Complicated, Complex, Chaotic, and Confused. Each domain represents a different level of complexity and suggests an appropriate decision-making approach, from clear cause-and-effect in the Obvious domain to the unpredictable nature of the Chaotic domain.

OODA Loop: Formulated by U.S. Air Force Colonel John Boyd, it stands for Observe, Orient, Decide, and Act. The cycle begins with observation of the environment, followed by orientation based on gathered data and previous experiences. A decision is then made about the course of action, which is subsequently executed. The loop emphasizes continuous feedback and adaptability, allowing entities to respond quickly to evolving circumstances and outpace competitors.

Pre-mortem: It is a proactive strategy used to anticipate potential problems before they occur. Unlike a post-mortem, which analyses a project’s failures after completion, a pre-mortem imagines a future scenario where a project has failed and works backward to identify potential pitfalls and weaknesses. Conducted at the onset of a project, team members are encouraged to think negatively and envision worst-case outcomes. By foreseeing challenges, teams can devise preventative measures, enhancing the project’s chances of success.

Red Teaming: It is a decision-making support process wherein a group actively challenges an organisation’s plans, policies, systems, and assumptions, mimicking potential adversaries to expose vulnerabilities. Originating from military exercises, Red Teaming’s primary goal in business and security contexts is to improve decision-making by providing a candid, critical perspective. It helps organisations anticipate potential threats and weaknesses by simulating an external attacker’s mindset, ultimately refining and fortifying decisions and defences.

Incorporating these frameworks in decision-making processes can enhance the clarity, accuracy, and effectiveness of the decisions made. Each tool or method offers a unique perspective and is best suited to specific types of decisions or situations.

11

Mental Models – 1

In the final section of this series, I want to discuss about mental models and their importance in decision-making.

My first memory of the phrase “mental models” was in a book club meeting a couple decades ago. It was in the context of a book by Robert Hagstrom, “Investing: The Last Liberal Art.” The book is about how building a multidisciplinary mindset can help you become a better investor. The author writes about the inspiration for the book from Charlie Munger, from a talk Charlie gave to students:

Rather than discussing the stock market, he intended to talk about “stock picking as a subdivision of the art of worldly wisdom.” For the next hour and a half, he challenged the students to broaden their vision of the market, of finance, and of economics in general and to see them not as separate disciplines but as part of a larger body of knowledge, one that also incorporates physics, biology, social studies, psychology, philosophy, literature, and mathematics.

In this broader view, he suggested, each discipline entwines with, and in the process strengthens, every other. From each discipline the thoughtful person draws significant mental models, the key ideas that combine to produce cohesive understanding. Those who cultivate this broad view are well on their way to achieving worldly wisdom, that solid mental foundation without which success in the market—or anywhere else—is merely a short-lived fluke.

To drive his point home, Charlie used a memorable metaphor to describe this interlocking structure of ideas: a latticework of models. “You’ve got to have models in your head,” he explained, “and you’ve got to array your experiences—both vicarious and direct—on this latticework of models.” So immediate is this visual image that “latticework” has become something of a shorthand term in the investment world, a quick and easily recognized reference to Charlie’s approach.

He goes on:

John H. Holland, a professor in two fields at the University of Michigan—psychology, and engineering and computer science—is a frequent visitor to the Santa Fe Institute, where he has lectured extensively on innovative thinking. According to Holland, innovative thinking requires us to master two important steps. First, we must understand the basic disciplines from which we are going to draw knowledge; second, we need to be aware of the use and benefit of metaphors.

…The ability to link mental models together and then benefit from the connections assumes that you have a basic understanding of each model in the latticework. There is no benefit to stringing mental models together if you have no idea how each model works and what phenomena it describes. Remember, though, it is not necessary to become an expert in each model but merely to understand the fundamentals.

… Holland argues [that] metaphors are much more than merely a colorful form of speech, even more than representations of thoughts. They can also help us translate ideas into models. And that, he says, represents the basis of innovative thinking. In the same way that a metaphor helps communicate one concept by comparing it to another concept that is widely understood, using a simple model to describe one idea can help us grasp the complexities of a similar idea. In both cases we are using one concept (the source) to better understand another (the target). Used this way, metaphors not only express existing ideas, they stimulate new ones.

A diverse set of mental models across various disciplines improves decision-making and problem-solving. By integrating knowledge from diverse fields, one can form a “latticework” of interconnected ideas to approach challenges holistically. This multidisciplinary approach ensures a broader and deeper understanding of complex situations, preventing over-reliance on a single perspective.

12

Mental Models – 2

In the vast spectrum of human cognition, decision-making stands as one of the most intricate processes. Every day, we are faced with an array of choices, ranging from mundane selections like what to eat for breakfast to more profound dilemmas, such as career shifts or ethical quandaries. Underpinning these decisions is an arsenal of cognitive tools known as mental models.

Defined as the representations people build to make sense of the world, mental models consist of our underlying assumptions, concepts, principles, and ideas about how things work. Just as a scientist uses models to explain and predict phenomena, our minds employ mental models to interpret and navigate the world around us. From Wikipedia: “The term was coined by Kenneth Craik in 1943 who suggested that the mind constructs “small-scale models” of reality that it uses to anticipate events. Mental models can help shape behaviour and set an approach to solving problems (similar to a personal algorithm) and doing tasks.”

James Clear adds: “A mental model is an explanation of how something works. The phrase “mental model” is an overarching term for any sort of concept, framework, or worldview that you carry around in your mind. Mental models help you understand life. For example, supply and demand is a mental model that helps you understand how the economy works. Game theory is a mental model that helps you understand how relationships and trust work. Entropy is a mental model that helps you understand how disorder and decay work. Mental models also guide your perception and behavior. They are the thinking tools that you use to understand life, make decisions, and solve problems. Learning a new mental model gives you a new way to see the world.”

Shane Parrish has written three books on mental models. “The quality of your thinking depends on the models that are in your head…When you learn to see the world as it is, and not as you want it to be, everything changes. The solution to any problem becomes more apparent when you can view it through more than one lens. You’ll be able to spot opportunities you couldn’t see before, avoid costly mistakes that may be holding you back, and begin to make meaningful progress in your life. That’s the power of mental models.”

He adds: “In order to see a problem for what it is, we must first break it down into its substantive parts so the interconnections can reveal themselves. This bottom-up perspective allows us to expose what we believe to be the causal relationships and how they will govern the situation both now and in the future. Being able to accurately describe the full scope of a situation is the first step to understanding it. Using the lenses of our mental models helps us illuminate these interconnections. The more lenses used on a given problem, the more of reality reveals itself. The more of reality we see, the more we understand. The more we understand, the more we know what to do… Most problems are multidimensional, and thus having more lenses often offers significant help with the problems we are facing… The key here is variety. Most of us study something specific and don’t get exposure to the big ideas of other disciplines. We don’t develop the multidisciplinary mindset that we need to accurately see a problem. And because we don’t have the right models to understand the situation, we overuse the models we do have and use them even when they don’t belong.”

Consider a business leader deciding whether to launch a new product. If she were to rely solely on financial models, her decision might be purely based on projected profitability. However, by integrating mental models from psychology, she could anticipate consumer behaviour. Incorporating models from sociology might allow her to predict societal trends or shifts that could influence the product’s reception. By weaving these models together, her decision becomes multifaceted, incorporating a range of factors that might have been overlooked in a unidimensional approach.

Moreover, mental models play a pivotal role in countering cognitive biases, the systematic patterns of deviation from norm or rationality in judgment, which can cloud decision-making. For instance, the ‘confirmation bias’ pushes individuals to seek out information that aligns with their existing beliefs. A robust latticework of mental models can act as a safeguard against such biases, offering multiple perspectives and challenging pre-existing notions. When faced with a decision, consulting various mental models can serve as a mental checklist, ensuring that biases don’t unduly influence the outcome.

Mental models are thus invaluable assets in the realm of decision-making. They offer structured frameworks for understanding complexities, drawing connections, and predicting outcomes. By cultivating a diverse and interconnected latticework of these models, one can navigate decisions with increased clarity, depth, and foresight.

13

Checklist

If there is one book I had to recommend, it would be “Seeking Wisdom: From Darwin to Munger” by Peter Bevelin. It dives deep into the mental models used by brilliant minds. Drawing from multiple disciplines, it explores the psychology of misjudgements and biases, emphasising the importance of understanding human behaviour and its influences on decision-making. The book is a treasure trove of insights on how to think rationally, avoid common cognitive pitfalls, and make better decisions. Regarded as a masterpiece in the decision-making genre, “Seeking Wisdom” equips readers with tools to navigate complex challenges, making it an indispensable read for anyone looking to enhance their judgment.

There is a very good collection of checklists towards the end of the book. Here is a sample of questions for determining what the issue is:

  • What’s the question? What is this really about?
  • What’s the essence or nub of the issue? What is then the key question?
  • Relevant? Solvable? Important? Knowable? Utility- applicability?
  • Do I understand what the subject is all about? In order to have an opinion on a subject I need some relevant data and basic knowledge about the subject, otherwise just say: “I don’t know”.
  • Is my judgment here better than others?
  • What must I predict here and is it predictable?
  • Is a decision needed? What happens if I don’t deal with this? Is this something I can do anything about? Should “I” do this?
  • Over what period of time am I considering this issue? Where am I at present? From whose point of view?
  • Simplify by deciding big “no-brainer questions” first and begin from where I am.

**

I asked Claude to prepare a 10-point checklist for managers and leaders based on this series.

  1. Identify the decision’s level of consequence and reversibility. Some choices are inconsequential or easily reversed while others have lasting impacts. Assess where this decision lies on the spectrum.
  2. Widen options through divergent thinking. Avoid narrow framing. Brainstorm as many alternative paths forward as possible.
  3. Test assumptions against reality. Ask probing questions to check assumptions. Seek objective data and feedback.
  4. Attain distance before deciding. “Zoom out” for perspective. “Zoom in” for granular analysis.
  5. Weigh costs, benefits, and likelihoods. Use expected value calculations. List pros/cons and assess probabilities.
  6. Leverage mental models. Consult different lenses like psychology, systems thinking and game theory.
  7. Prepare to be wrong. Simulate worst-case scenarios. Have contingency plans to course correct.
  8. Debate respectfully. Seek constructive criticism. Arguments can refine decisions.
  9. Decide sequentially. Break down complex choices into smaller steps. Pause and validate.
  10. Continuously re-evaluate. Be ready to think again if new data emerges. Stay flexible.

**

In the intricate tapestry of life, decisions serve as the threads that shape our path, influencing not just our immediate actions but also the broader contours of our journey. The art of decision-making, while seemingly innate, is a skill that benefits greatly from conscious cultivation, practice, and refinement. As we traverse the labyrinth of choices, it’s empowering to remember that we can hone this skill, drawing from diverse mental models and frameworks. Equipped with this knowledge and understanding, we can navigate the myriad choices with greater clarity, making decisions that resonate with our values and aspirations. In this continuing journey, every choice we make is a step towards mastering the art of decision-making, an endeavour that holds the promise of a more intentional and enriched life.

Thinks 1089

FT: “Britain is a nation of thinkers, with not enough doers…[It] should take inspiration from the inventors and implementers of its industrial revolution…Britain has an illustrious list of inventors. Isaac Newton devised the first reflecting telescope, Michael Faraday the electric motor, and Enigma codebreaker Alan Turing developed the first computers. All these pioneers hailed from academia, as researchers, scientists and professors. But crucially, they also put theory into action, and taught others to do so too. It is this ability to both think and do — individually and collectively — that still powers growth and innovation across the world. Research by economic historians Ralf Meisenzahl and Joel Mokyr argued that Britain’s Industrial Revolution was underpinned by three groups of people. The inventors, the tweakers — who could adapt, improve and debug existing technology — and the implementers, capable of “building, installing, operating, and maintaining new and complex equipment”.”

NYTimes: “Why is it so annoying when people interrupt? For many of us, it can feel diminishing and condescending, said Maria Venetis, an associate professor of communication at Rutgers University. Sometimes it’s even “enraging,” she added, “because it suggests that my ideas or my participation aren’t valid.” This feeling is especially familiar to those who experience it more regularly, such as women, who are more frequently interrupted by men. Interrupters often have more “achieved or ascribed power” and are used to having people quiet down when they want to speak, said Alexandra Solomon, a psychologist at the Family Institute at Northwestern University and the author of “Love Every Day.” How, then, do you manage interruptions at work and home?”

HBR: “The enthusiasm around generative AI is palpable, and for a good reason. But many decisions about its adoption seem to be made under the presumption of unstoppable, exponential growth. What is missing from the conversation is a crucial reality check: Is there a potential plateau or even downturn for generative AI on the near horizon? Managers should resist the temptation to jump on the bandwagon; they need to thoroughly assess of where this technology could lead — both for better and worse. As we navigate this intriguing and uncertain territory, it is more important than ever to sustain an open but critical mindset, engage in continuous experimentation, and stand ready to recalibrate our views in light of evolving insights. All in all, the real bottleneck in generative AI might not be computation capacity or model parameters, but our unique human touch. Yet, we are on the brink of a digital world that is increasingly filled with AI-generated clutter. Could it be that we have already seen the pinnacle of generative AI? How the next chapter unfolds hinges on our ability to recognize, protect, nurture, and fairly treat human creativity.”

WSJ reviews “Insulin”: “An estimated 37.3 million Americans live with diabetes, while one in three American adults have prediabetes. The epidemic is equally daunting worldwide, but the disease itself often confuses the public. Type 1 diabetes is an autoimmune disorder in which the pancreas produces little to no insulin and patients must take insulin through injections or a pump. The more common Type 2 diabetes occurs when the body resists the insulin that it does produce and different therapies, including insulin, are used for treatment. Both types, if not treated properly, are characterized by dangerously high blood sugar.”

Manish Sabharwal in the context of WeWork: “Strategy: The art of creating unfair advantages is the long-term essence of strategy but it is also the short-term science of reducing the negative unit economics (you must lose less when you sell more). The notion of blitzscaling — winner-take-all markets that require prioritising growth over avoiding losses — formulated by Reid Hoffman, the founder of LinkedIn, is real but rarer than most think. It applies to social media, stock exchanges, search, operating systems and other network businesses, but its applicability to property leasing was a birth defect that became impossible to overcome.”

Strategy: Choices, Competition and Consequences

Published December 25, 2023

1

Samachar and Choices

During my IndiaWorld days in 1997, I had to decide on how we could create the news content that our audience (primarily non-resident Indians) wanted. One path taken by other portals was to hire journalists. I decided that I wasn’t going to go down that path – a newsroom would be an expensive recurring cost, and I did not have that kind of money. So, I chose to use technology to solve the problem: software would crawl the home pages of news sites every 30 minutes, extract the headlines by reverse engineering the HTML, and then put the top five headlines from multiple news sources on a single page. This site I called “Samachar”.

As it turned out, Samachar.com became the most popular Indian news portal. Many visitors made it their home page, visiting multiple times daily. It became the gateway to popularising the other sites in the IndiaWorld portfolio. It created a differentiator that no other Indian portal could match. Advertisers (mainly telecom companies selling calling cards and banks) flocked to Samachar.com. The ‘Samachar Strategy’ was a big reason behind IndiaWorld’s success. Rather than becoming a money sink, it became a money spinner.

The word ‘strategy’ is perhaps the most used and abused word in business conversations. Everything becomes a ‘strategy’, importing to an idea or action gravitas and making everyone in the room pay attention. Over time, the meaning has been diluted and expanded. So, what really is strategy? At its core, strategy is about making choices. It’s about deciding where to play and how to win. In the case of Samachar, I made the decision to use automation as an alternative to journalists.

From a previous post in my Proficorn series: “Ramesh Mangaleswaran explained strategy very well. He described it as a set of choices that a business needs to make, and then decide on the resources (human, capital). Strategy needs a combination of big bets and not so big bets (options). The big bets need to be counterbalanced with a safety net if things go wrong. Strategy also needs to be thought at two levels – like looking through a telescopic (long-term, directional) and microscope (near-term, specific actions).”

In that post, I also had a couple more quotes on strategy, both from Michael Porter.

Business World: “[Michael] Porter also warned about the overuse of the word strategy. He simplified the definition in business as a set of choices that are long term and articulate the competitive advantage that companies will seek to create, in order to win. The strategy also should not be confused for goal and aspirations. It is more than just particular actions – it is holistic. At the same time, it is not a mission statement or values. It is not vague, it is specific.”

Farnam Street: “Really, strategy is about making specific choices to win in the marketplace. According to Mike Porter, author of “Competitive Strategy”, perhaps the most widely respected book on strategy ever written, a firm creates a sustainable competitive advantage over its rivals by “deliberately choosing a different set of activities to deliver unique value.” Strategy therefore requires making explicit choices— to do some things and not others— and building a business around those choices. In short, strategy is choice. More specifically, strategy is an integrated set of choices that uniquely positions the firm in its industry so as to create sustainable advantage and superior value relative to the competition.”

In this series, I will discuss strategy in more depth, and connect it to my profipoly idea – how can strategy help businesses build a “profits monopoly”?

2

Wikipedia and Michael Porter

Let’s begin our strategy journey by reviewing some of the writings.

Wikipedia offers history and an overview:

Strategy (from Greek στρατηγία stratēgia, “art of troop leader; office of general, command, generalship”) is a general plan to achieve one or more long-term or overall goals under conditions of uncertainty. In the sense of the “art of the general”, which included several subsets of skills including military tactics, siegecraft, logistics etc., the term came into use in the 6th century C.E. in Eastern Roman terminology, and was translated into Western vernacular languages only in the 18th century. From then until the 20th century, the word “strategy” came to denote “a comprehensive way to try to pursue political ends, including the threat or actual use of force, in a dialectic of wills” in a military conflict, in which both adversaries interact.

Strategy is important because the resources available to achieve goals are usually limited. Strategy generally involves setting goals and priorities, determining actions to achieve the goals, and mobilizing resources to execute the actions. A strategy describes how the ends (goals) will be achieved by the means (resources). Strategy can be intended or can emerge as a pattern of activity as the organization adapts to its environment or competes. It involves activities such as strategic planning and strategic thinking.

Henry Mintzberg from McGill University defined strategy as a pattern in a stream of decisions to contrast with a view of strategy as planning, while Henrik von Scheel defines the essence of strategy as the activities to deliver a unique mix of value – choosing to perform activities differently or to perform different activities than rivals. Max McKeown argues that “strategy is about shaping the future” and is the human attempt to get to “desirable ends with available means”. Vladimir Kvint defines strategy as “a system of finding, formulating, and developing a doctrine that will ensure long-term success if followed faithfully.”

Michael Porter wrote about strategy in a 1996 article in Harvard Business Review:

Operational effectiveness and strategy are both essential to superior performance, which, after all, is the primary goal of any enterprise. But they work in very different ways.

A company can outperform rivals only if it can establish a difference that it can preserve. It must deliver greater value to customers or create comparable value at a lower cost, or do both. The arithmetic of superior profitability then follows: delivering greater value allows a company to charge higher average unit prices; greater efficiency results in lower average unit costs.

…Strategy is the creation of a unique and valuable position, involving a different set of activities. If there were only one ideal position, there would be no need for strategy. Companies would face a simple imperative—win the race to discover and preempt it. The essence of strategic positioning is to choose activities that are different from rivals’. If the same set of activities were best to produce all varieties, meet all needs, and access all customers, companies could easily shift among them and operational effectiveness would determine performance.

…Strategy is making trade-offs in competing. The essence of strategy is choosing what not to do. Without trade-offs, there would be no need for choice and thus no need for strategy.

…Strategy is creating fit among a company’s activities. The success of a strategy depends on doing many things well—not just a few—and integrating among them. If there is no fit among activities, there is no distinctive strategy and little sustainability. Management reverts to the simpler task of overseeing independent functions, and operational effectiveness determines an organization’s relative performance.

3

Richard Rumelt

The best definition of strategy comes from Richard Rumelt in his book, “Good Strategy Bad Strategy”. He writes:

Good strategy is coherent action backed up by an argument, an effective mixture of thought and action with a basic underlying structure I call the kernel. A good strategy may consist of more than the kernel, but if the kernel is absent or misshapen, then there is a serious problem. Once you apprehend this kernel, it is much easier to create, describe, and evaluate a strategy. The kernel is not based on any one concept of advantage. It does not require one to sort through legalistic gibberish about the differences between visions, missions, goals, strategies, objectives, and tactics. It does not split strategies into corporate, business, and product levels. It is very straightforward.

The kernel of a strategy contains three elements:

  • A diagnosis that defines or explains the nature of the challenge. A good diagnosis simplifies the often overwhelming complexity of reality by identifying certain aspects of the situation as critical.

  • A guiding policy for dealing with the challenge. This is an overall approach chosen to cope with or overcome the obstacles identified in the diagnosis.

  • A set of coherent actions that are designed to carry out the guiding policy. These are steps that are coordinated with one another to work together in accomplishing the guiding policy.

Rumelt adds: “In business, the challenge is usually dealing with change and competition. The first step toward effective strategy is diagnosing the specific structure of the challenge rather than simply naming performance goals. The second step is choosing an overall guiding policy for dealing with the situation that builds on or creates some type of leverage or advantage. The third step is the design of a configuration of actions and resource allocations that implement the chosen guiding policy.”

Rumelt’s second book is “The Crux.” He writes: “[T]he term crux … denote[s] the outcome of a three-part strategic skill. The first part is judgment about which issues are truly important and which are secondary. The second part is judgment about the difficulties of dealing with these issues. And the third part is the ability to focus, to avoid spreading resources too thinly, not trying to do everything at once. The combination of these three parts lead to a focus on the crux—the most important part of a set of challenges that is addressable, having a good chance of being solved by coherent action.”

He adds: “The art of strategy is not finding your one true goal and passionately pursuing it with all your heart and soul in everything you do—that is a type of mental illness called monomania. The art of strategy is not setting higher and higher performance goals for people and using charisma, carrots, and sticks to push them toward attaining those goals—that presumes that someone somewhere knows how to find a way through the thicket of problems the organization actually faces.”

I have discussed more on Rumelt’s writings in Parts 4-8 of my essay, Hotline: The Crux of the Brand-Customer Relationship.

4

Quotes

“A goal without a plan is just a wish.” — Antoine de Saint-Exupéry.

“A vision without a strategy remains an illusion.” Lee Bolman

“Vision without action is a daydream. Action without vision is a nightmare.” -Japanese proverb

“Strategy without tactics is the slowest route to victory. Tactics without strategy is the noise before defeat.” – Sun Tzu

“Objectives can be compared to a compass bearing by which a ship navigates. A compass bearing is firm, but in actual navigation, a ship may veer off its course for many miles. Without a compass bearing, a ship would neither find its port nor be able to estimate the time required to get there.”  – Peter Drucker

“What business strategy is all about-what distinguishes it from all other kinds of business planning-is, in a word, competitive advantage. Without competitors there would be no need for strategy, for the sole purpose of strategic planning is to enable the company to gain, as efficiently as possible, a sustainable edge over its competitors.” – Kenichi Ohmae

“There is only one winning strategy. It is to define the target market carefully and direct a superior offering to that target market.”— Philip Kotler

“Focusing solely on what you can potentially do better than any other organization is the only path to greatness.” – Jim Collins

“To be strategic is to concentrate on what is important, on those few objectives that can give us a comparative advantage, on what is important to us rather than others, and to plan and execute the resulting plan with determination and steadfastness.” – Richard Koch

“Designing a winning strategy is the art of asking questions, experimenting and then constantly renewing the thinking process by questioning the answers.  No matter how good today’s strategy is, you must always keep reinventing it.” – Constantinos Markides

“The reason why it is so difficult for existing firms to capitalize on disruptive innovations is that their processes and their business model that make them good at the existing business actually make them bad at competing for the disruption.” — Clayton Christensen

“Without a strategy, execution is aimless. Without execution, strategy is useless.” — Morris Chang

“If a strategy is to be achieved, it must be publicly tracked, measured, and monitored. If you are trying to lose weight, you must get on the scales regularly.” -David Maister

“What we need to do is always lean into the future; when the world changes around you and when it changes against you – what used to be a tail wind is now a head wind – you have to lean into that and figure out what to do because complaining isn’t a strategy.” – Jeff Bezos

“Famous pivot stories are often failures but you don’t need to fail before you pivot. All a pivot is is a change is strategy without a change in vision. Whenever entrepreneurs see a new way to achieve their vision – a way to be more successful – they have to remain nimble enough to take it.” – a  Eric Ries

“Companies that grow for the sake of growth or that expand into areas outside their core business strategy often stumble. On the other hand, companies that build scale for the benefit of their customers and shareholders more often succeed over time.” – Jamie Dimon

“Unless structure follows strategy, inefficiency results.” – Alfed Chandler

“In marketing I’ve seen only one strategy that can’t miss – and that is to market to your best customers first, your best prospects second and the rest of the world last.” – John Romero

5

7 Powers – 1

A good book on business strategy is “7 Powers” by Hamilton Helmer. He writes: “The arc of any celebrated business is underpinned by decisive strategy choices that are few and typically made amidst the profound uncertainty of rapid change. Get these crux choices wrong and you face a future of persistent pain, or even outright failure.”

He provides three definitions:

  • Strategy: the study of the fundamental determinants of potential business value
  • Power: the set of conditions creating the potential for persistent differential returns
  • Mantra (or company strategy): a route to continuing Power in significant markets

He adds: Potential Value = [Market Scale] * [Power]

I asked ChatGPT to summarise the seven powers discussed in the book.

  1. Scale Economies: This refers to the advantage large-scale operations have. When a company grows, it can spread its fixed costs over a larger number of units, leading to a lower cost per unit. Companies that achieve scale economies can under-price competitors and achieve higher profit margins.
  2. Network Economies: This is about the value that increases with the number of users or participants. Think of platforms like Facebook or Twitter; the more users they have, the more valuable (and entrenched) they become. A company that taps into network economies can fend off competition because the value proposition strengthens as more users join.
  3. Counter-Positioning: This involves a newcomer adopting a new, unique business model which incumbents cannot replicate without damaging their existing business. It’s a way for newer entrants to challenge established companies by making the old ways of doing business obsolete.
  4. Switching Costs: This is when it’s hard or costly for customers to switch from one product to another. Software platforms or services that require significant time or resources to change (e.g., enterprise software, subscription services) benefit from this power.
  5. Branding: A strong brand serves as a powerful competitive advantage. When customers trust and prefer one brand over others, that company can command premium pricing and ensure customer loyalty.
  6. Cornered Resource: This is about having exclusive access to a valuable asset or resource that others can’t easily duplicate. It could be a talented team, a unique technology, or even a prime location.
  7. Process Power: Over time, some companies develop unique ways of doing things that are hard for others to replicate. These efficient and effective processes can become a source of competitive advantage.

Here are 2 graphics from the book.

In the book, Helmer answers the question, “How to get there?”

  • Scale Economies. With this first Power type, you must simultaneously pursue a business model that promises Scale Economies (industry economics), while at the same time offering up a product differentially attractive enough to pull in customers and gain relative share (competitive position).
  • Network Economies. Here the needs are similar to Scale Economies, except that installed base, rather than sales share, is the goal.
  • Cornered Resource. You must secure the rights to a valuable resource on attractive terms. This often comes from having developed that resource in the first place and then gaining ownership of it, the most common avenue being a patent award for research developments.
  • Over an extensive period of time, you make consistent creative choices which foster in the customer’s mind an affinity that goes beyond the product’s objective attributes.
  • Counter-Positioning. You pioneer a new, superior business model that promises collateral damage for incumbents if mimicked.
  • Switching Costs. With Switching Costs, you must first attain a customer base, meaning the same new-product requirements demanded of Scale and Network Economies factor in here as well.
  • Process Power. You evolve a new complex process which renders itself inimitable within a reasonable period and yet offers significant advantages over a longer period of time.

He adds: “The first cause of every Power type is invention, be it the invention of a product, process, business model or brand, The adage ‘Me too’ won’t do” guides the creation of Power… You must create something new that produces substantial economic gain in the value chain.”

This is captured below:

6

7 Powers – 2

Helmer in an interview with Colossus: “If you start a business, you put something in, your time and investments and all this stuff, and you do it maybe for love, but you also get something back, and that something back has to hopefully be more than what you put in in the first place. You might question whether it was really worthwhile. And so the notion of Power is that when you figure out something about a business, you figure out something that’s better than what is currently offered. And so that might be a better business model, or it might be an interesting grant, or it might be a new product or something like that. But then the spectre of competitive arbitrage comes in. If you do something better, the question then is: okay, but for that to be durable – because what you want is durable success in business – for that to be durable, there has to be something that prevents others from taking all of that away from you. And so the something better is a benefit and that something that keeps others from getting it is a barrier. And so you need both those conditions… It’s very important to realize that often when you start a business, you just don’t know whether you’re going to have Power or not. You just don’t know. And yet, it may be a very reasonable bet to proceed knowing that an opportunity may arise… The technology frontier is constantly moving forward. And that is the most important driver of opportunity influx… The starting place for strategy and the starting place for Power is creativity…It involves invention, not discovery.”

Reed Hastings writes in the book’s introduction: “Hamilton is so much more than an able synthesizer and communicator, as 7 Powers demonstrates. Any strategy framework, to be broadly useful to a business person, must address all the key strategy issues facing an organization. Hamilton has long been aware of the deficiencies in existing frameworks. His solution? To forge ahead with entirely novel conceptual advances, and then to bind these together into a unified whole…7 Powers tightly integrates the numerous insights he has developed in his several decades of consulting, active equity investing and teaching. It is a uniquely clear and comprehensive distillation of strategy. It will change how you think about business and pull into focus your critical strategy challenges, not to mention their solutions.”

Abi Tyas Tunggal writes: “What are the secrets to making a company enduringly valuable? If we are to believe Hamilton Helmer, the answer is strategy and execution. Every celebrated business is underpinned by decisive strategy choices and operational excellence, in the midst of uncertainty, which leads to some form of competitive advantage… The crux of 7 Powers is that a business can try to improve its strengths, mitigate its weaknesses, eliminate competitor risk, better serve its customers, maximize shareholder value, or take advantage of its pricing power.”

Chris Stoneman writes: “The business strategy (small s) is a route to continuing power in significant markets. Being there (statics) is one thing, but getting there (dynamics) is quite another. Not only should businesses know which of the 7 Powers will be their static strategy, but also how and when to build and execute on them. Timing is key. Me too won’t do. Invent new things and create compelling value. Only then will businesses have the opportunity to gain continued power in a significant market.”

Dan Shuart writes: “I find Helmer’s framework a useful tool when asking the question “why”. Why does a company consistently earn superior returns on capital? Why might a company enjoy superior growth rates for many years? How long might these superior returns last? Identifying potential sources of Power among businesses and stocks you are studying is a useful exercise and helps build comfort with different competitive positions (or lack thereof). No one always gets it right, but just attempting to understand if a business has an enduring competitive moat is half the battle. If an investor’s aim is to buy good businesses it’s tough to think of a better checklist than Helmer’s 7 Powers as a starting point. Studying businesses that meet some of the above criteria amounts to fishing in a stocked pond. This isn’t the way to invest successfully but it certainly is a way.”

Sachin Rekhi writes: “Hamilton narrowly defines a successful strategy as creating a route to persistent differential returns for your business. Accomplishing this requires each strategy to have two critical components: a benefit and a barrier. The benefit materially augments your business’s cash flows by enabling you to increase prices, reduce costs, and/or reduce investment needs. The most important part of a strategy, though, is establishing a barrier, which prevents existing and potential competitors from arbitraging away the benefit. This is necessary to ensure your benefit persists, otherwise competitors could quickly catch up and remove your advantage. This is often described as developing an economic moat for your business. Hamilton then goes on to define 7 strategies, which he refers to as the 7 powers, that accomplish both of these goals. Hamilton asserts that these 7 strategies encompass every possible strategy for creating a successful moat and suggests every business must leverage one or more of these strategies to build a significant and enduring business.”

Helmer’s mantra – a route to continuing Power in significant markets – is the essence of what I call a “Profipoly” (profits monopoly, or a path to exponential forever profitable growth).

7

Playing To Win

Another very good book on strategy is “Playing To Win” by AG Lafley and Roger Martin. They define strategy as “a coordinated and integrated set of five choices: a winning aspiration, where to play, how to win, core capabilities, and management systems.” In their framework, strategy is about answering five interrelated questions:

  1. What is your winning aspiration? The purpose of your enterprise, its motivating aspiration.
  2. Where will you play? A playing field where you can achieve that aspiration.
  3. How will you win? The way you will win on the chosen playing field.
  4. What capabilities must be in place? The set and configuration of capabilities required to win in the chosen way.
  5. What management systems are required? The systems and measures that enable the capabilities and support the choices.

Here are short descriptions from the book on each of these five questions:

The first question—what is our winning aspiration?—sets the frame for all the other choices. A company must seek to win in a particular place and in a particular way. If it doesn’t seek to win, it is wasting the time of its people and the investments of its capital providers. But to be most helpful, the abstract concept of winning should be translated into defined aspirations. Aspirations are statements about the ideal future. At a later stage in the process, a company ties to those aspirations some specific benchmarks that measure progress toward them.

Where to play represents the set of choices that narrow the competitive field. The questions to be asked focus on where the company will compete—in which markets, with which customers and consumers, in which channels, in which product categories, and at which vertical stage or stages of the industry in question. This set of questions is vital; no company can be all things to all people and still win, so it is important to understand which where-to-play choices will best enable the company to win.

Where to play selects the playing field; how to win defines the choices for winning on that field. It is the recipe for success in the chosen segments, categories, channels, geographies, and so on. The how-to-win choice is intimately tied to the where-to-play choice. Remember, it is not how to win generally, but how to win within the chosen where-to-play domains.

Two questions flow from and support the heart of strategy: (1) what capabilities must be in place to win, and (2) what management systems are required to support the strategic choices? The first of these questions, the capabilities choice, relates to the range and quality of activities that will enable a company to win where it chooses to play. Capabilities are the map of activities and competencies that critically underpin specific where-to-play and how-to-win choices.

The final strategic choice in the cascade focuses on management systems. These are the systems that foster, support, and measure the strategy. To be truly effective, they must be purposefully designed to support the choices and capabilities. The types of systems and measures will vary from choice to choice, capability to capability, and company to company.

The book emphasizes that effective strategy is about making clear-cut choices on where to play and how to win in those chosen markets. Success requires both a deliberate approach to designing a winning game plan and the executional discipline to implement that plan consistently.

8

Strategy That Works

The book by ,”Strategy that Works”, Paul Leinwand and Cesare Mainardi connects strategy to execution. Two tables capture the essence of the authors’ ideas.

Here is a short summary of each of the five ideas, as summarised by ChatGPT:

  1. Commit to an Identity: Successful companies understand their unique value proposition and stay true to their ‘way to play’. They avoid the trap of chasing multiple directions and instead focus on what they do best.
  2. Translate the Strategic into the Everyday: Instead of having high-level strategies that remain on paper, successful companies embed their strategic objectives into daily operations, ensuring that there’s alignment from the boardroom to the frontline.
  3. Put Culture to Work: Recognising culture as a significant asset, these companies leverage their cultural strengths to drive their strategy and ensure that behaviours, mindsets, and company values are in sync with strategic goals.
  4. Cut Costs to Grow Stronger: Rather than indiscriminate cost-cutting, top companies approach cost management strategically. They invest in areas that align with their identity and core strengths, and cut costs in areas that don’t fit this mould.
  5. Shape the Future: Successful companies are proactive. They don’t merely react to changes in the market; they shape these changes by influencing trends, making forward-looking investments, and sometimes even creating entirely new markets.

One of the key elements of this framework is the ability to shape the future. As companies grow and age, there is a tendency to become complacent. That is when agile supercompetitors can nibble away at market share. The authors write: “The ultimate payoff for becoming and staying coherent is a position of market leadership. Companies that close the strategy-to-execution gap can become the centers of their own ecosystems, changing the structure of the industries around them to advance their own position. When companies accomplish this, they become what we call supercompetitors.” They provide a framework for incumbent leaders to guard against this.

9

Blue Ocean Strategy – 1

It is rare that a conversation on strategy will not include the phrase “blue ocean.” (I myself talk about the need to find a “blue ocean in a red ocean.”) The book “Blue Ocean Strategy” by Chan Kim & Renée Mauborgne became an instant classic when it was published. Here is the contrast between red and blue oceans as defined by the Blue Ocean website:

Red Oceans are all the industries in existence today – the known market space. In red oceans, industry boundaries are defined and accepted, and the competitive rules of the game are known. Here, companies try to outperform their rivals to grab a greater share of existing demand. As the market space gets crowded, profits and growth are reduced. Products become commodities, leading to cutthroat or ‘bloody’ competition. Hence the term red oceans.

Blue Oceans, in contrast, denote all the industries not in existence today – the unknown market space, untainted by competition. In blue oceans, demand is created rather than fought over. There is ample opportunity for growth that is both profitable and rapid. In blue oceans, competition is irrelevant because the rules of the game are waiting to be set. A blue ocean is an analogy to describe the wider, deeper potential to be found in unexplored market space. A blue ocean is vast, deep, and powerful in terms of profitable growth.

In short, blue oceans are uncontested spaces.

The chart below from the website puts the differences in perspective:

A cornerstone of blue ocean strategy is value innovation.

The authors list eight principles of blue ocean strategy:

A helpful tool is the “strategy canvas”. It is best understood through an example. The authors provide this canvas for Southwest Airlines.

For thinking through the blue ocean strategy, the authors suggest using the “four actions framework.”

10

Blue Ocean Strategy – 2

Here are a few examples of companies that have successfully applied blue ocean strategies:

Cirque du Soleil: It created a new market space by combining circus and theater to appeal to adult audiences, moving away from traditional circuses targeted at children.

Netflix: Netflix transitioned from its initial model of mail-in DVDs to an online streaming platform, effectively creating a new market space. Instead of competing with traditional cable or satellite TV, it tapped into the demand for on-demand, diverse content with a subscription model.

Tesla: While many automakers focused on incremental improvements in fuel efficiency or hybrid technologies, Tesla made a bold move into electric vehicles with superior range and performance. They targeted not just environmentally-conscious consumers, but also luxury car enthusiasts and tech-savvy buyers, thereby carving a unique niche.

Airbnb: Airbnb created an online marketplace for homestays, offering an alternative to hotels. It connected travellers looking for cheaper or more local stays.

Warby Parker: The eyewear industry was long dominated by a few big players. Warby Parker disrupted the scene by offering designer eyewear at affordable prices through a direct-to-consumer online model. They also employed a “Home Try-On” program, allowing customers to choose five frames to be shipped to their home for free, to try them out and send back the ones they didn’t want. [Lenskart did something similar in India.]

Peloton: Peloton created a new market for home fitness by offering interactive classes led by live instructors. Peloton’s bikes and treadmills are also connected to a community of users, which helps to motivate people to work out.

Shopify: Shopify created a new market for e-commerce platforms by making it easy for people to start their own online stores without any technical knowledge. Shopify offers a variety of features and tools that make it easy to set up and manage an online store, including payment processing, shipping, and inventory management.

Aravind Eye Hospital: It created a new market for affordable eye care in India by developing a high-volume, low-cost model. Aravind Eye Hospital has performed over 7 million cataract surgeries, making it the largest provider of eye care in the world.

Zerodha: In the stock brokerage industry in India, Zerodha introduced a disruptive pricing model with significantly lower brokerage fees (often zero for delivery trades). This attracted a vast number of retail investors to the stock market, especially younger, tech-savvy traders.

Paper Boat: It created a new market for branded ethnic drinks like aam panna, jaljeera, etc. that provided a refreshing natural alternative to colas and sodas.

I asked ChatGPT and Claude for examples from B2B SaaS. Here are some success stories.

Slack: While the market had numerous communication tools, Slack revolutionised workplace communication by offering an intuitive, real-time messaging platform, integrating various third-party applications. Instead of just being another communication tool, Slack positioned itself as a collaboration hub for work.

Zoom: Before the pandemic, there were already established players like Skype and WebEx in the video conferencing domain. Zoom identified and rectified common pain points such as difficult set-ups and dropped calls. With its easy-to-use interface, seamless integration, and high-quality video, it soon became the preferred choice for businesses worldwide. It avoided competing with enterprise software like Microsoft’s SharePoint (in the early days).

Canva: Canva created a new market for graphic design by making it easy for people to create professional-looking designs without any design skills. Canva offers a variety of templates, fonts, and images that users can drag and drop to create their own designs.

DocuSign: It digitised the document signing process to make it accessible anytime, anywhere while improving security. Created an alternative to in-person signing.

HubSpot: Instead of focusing solely on one aspect of customer relationship management, HubSpot introduced an all-in-one inbound marketing, sales, and service platform. By combining multiple tools into one integrated platform and promoting inbound marketing, they created a niche in a market dominated by giants like Salesforce.

11

More Strategy Frameworks

“Five Forces” by Michael Porter: It offers a holistic approach to understanding competition within an industry and formulating strategies accordingly. The five forces encompass: (1) The threat of new entrants, which assesses how easy or difficult it is for competitors to join the industry; (2) The bargaining power of buyers, gauging the ability of customers to influence prices; (3) The bargaining power of suppliers, determining the influence suppliers can have on price and quality; (4) The threat of substitute products or services, considering the potential for other products or services to capture a company’s customer base; and (5) Rivalry among existing competitors, which analyses the intensity of current competitive relationships within the industry.

“The Innovator’s Dilemma” by Clayton Christensen: It focuses on why large companies can fail despite good management due to disruptive technologies. Introduces the concept of disruptive innovation. A related idea from Christensen is to think of “Jobs to Be Done”, which focuses on understanding customer needs based on the jobs they’re trying to accomplish.

“Crossing the Chasm” by Geoffrey Moore: A marketing theory that describes the lifecycle of high-tech products, emphasising the challenges faced during the early stages of introduction.

“Three Horizons Model” by McKinsey: This helps allocate resources across Horizon 1 (current business), Horizon 2 (emerging business) and Horizon 3 (future business) for strategic growth. [I have written about this.]

SWOT Analysis: A framework used to evaluate an organization’s strengths, weaknesses, opportunities, and threats.

“Growth-Share Matrix” by BCG: It helps companies analyse their product lines or business units in terms of their market growth rate and relative market share. The matrix classifies products into four categories: Stars (high growth, high market share), which are leaders in flourishing markets and typically require investment to maintain their dominant position; Cash Cows (low growth, high market share), established and successful products that generate consistent cash flow; Question Marks (high growth, low market share), potential future stars with uncertain prospects and often necessitating significant investments to boost market share; and Dogs (low growth, low market share), which neither generate nor consume large amounts of cash and may be divested.

“Ansoff Matrix” by Igor Ansoff: It is a strategic planning tool that provides a framework to help executives and other senior managers devise strategies for future growth. The matrix categorises growth strategies along two dimensions: products (existing vs. new) and markets (existing vs. new). This results in four primary growth strategies: (1) Market Penetration, which focuses on increasing sales of existing products in existing markets; (2) Product Development, where new products are introduced into existing markets; (3) Market Development, which involves introducing existing products into new markets; and (4) Diversification, a strategy that seeks growth through introducing new products into new markets.

“Balanced Scorecard” by Robert Kaplan and David Norton: It is a strategic performance management tool that allows organisations to translate their vision and strategy into actionable objectives and performance metrics. It evaluates performance from four interconnected perspectives: (1) Financial, which measures fiscal performance and profitability; (2) Customer, emphasizing customer satisfaction and retention; (3) Internal Processes, evaluating the efficiency and effectiveness of operations; and (4) Learning and Growth, which gauges the organisation’s ability to innovate, improve, and develop its human capital.

**

In exploring the essence of strategy across various seminal books and frameworks, some consistent themes emerge – strategy is centred on making clear choices to establish competitive advantage, it requires both strategic thinking and disciplined execution, it entails understanding customers and the market landscape, and it involves creating a differentiated value proposition difficult for rivals to replicate. While there are many lenses to analyse strategy, at its core it is about defining where to play, how to win, and what capabilities and systems are needed to outperform competitors. Crafting and implementing a coherent strategy remains vital for companies to carve out a sustainable niche, though the quest for an enduring “profipoly” in today’s dynamic markets necessitates constant creativity, invention and strategic renewal.

Thinks 1088

NYTimes: “Making A.I. agents more autonomous, giving them access to our personal data and embedding them inside every app we use has profound, head-spinning implications. Soon, if the predictions are right, A.I.s could get to know us on a deep level — perhaps, in some cases, better than we know ourselves — and will be able to perform complex actions with or without our oversight. If OpenAI is right, we may be transitioning to a world in which A.I.s are less our creative partners than silicon-based extensions of us — artificial satellite brains that can move throughout the world, gathering information and taking actions on our behalf.”

WSJ: “Forget universal basic income. In Musk’s world, he foresees something more lush, where most things will be abundant except unique pieces of art and real estate. “We won’t have universal basic income, we’ll have universal high income,” Musk said… “In some sense, it’ll be somewhat of a leveler or an equalizer because, really, I think everyone will have access to this magic genie.” All of which kind of sounds a lot like socialism—except it’s unclear who controls the resources in this Muskism society. A few years ago, Musk declared himself a socialist of sorts. “Just not the kind that shifts resources from most productive to least productive, pretending to do good, while actually causing harm,” he tweeted. “True socialism seeks greatest good for all.””

Scott Young: “Any software company, any technology company at this point is an AI company or they are trying to be an AI company. And even Main Street companies are pretty excited about what’s going on, but no one’s rolled anything out at scale at this point where they have really changed their customer-support operation. We’re clearly at a place where now we’ve got to translate the excitement and the interest level into true adoption…I’m less worried about that. I think about this quote from Bill Gates, that you always accomplish more than you think you will in 10 years and less than you think you will in one year. And I think it is hard to predict the time frame with which this will all play out. I think you have to take the long view. You can’t go quarter by quarter. My point of view is this is going to change how we live our lives, down to how you buy coffee in a coffee shop. I think it is going to be transformative and I think that is a long-arc problem now. What happens in year two or three in terms of the actual demand that comes through? I don’t think anybody knows exactly.”

FT: “Today, romance is the bestselling book genre in the US…It’s also one of the fastest growing, according to new data from the publishing industry tracker Circana. While fiction as a whole grew more popular during the pandemic as readers craved escapism, it was romance that led the charge. Sales of romance grew more than 50 per cent in the year up to May 2022, and 32 per cent in 2021…Perhaps because of the way they have been marginalised, romance readers are a loyal, tight-knit community. And they are an increasingly powerful one. Notable for deeply engaged online discussions, social media recommendations and annual conferences, this fan base has proved pivotal in pushing romantic fiction on to the main stage.”

Storytelling: The Art of Persuasion

Published December 24, 2023

1

Why

A couple years ago, I was on a panel at a marketing conference. When called upon to introduce Netcore, I explained what we do. “Netcore helps B2C/D2C companies build better digital experiences. Our martech stack helps with communications, marketing automation, and search and product discovery.” A little later in the day, I listened to a competitor introduce his company. “We touch your lives in many ways. Those messages you get from ABC Bank? We power them. Those relevant recommendations on XYZ eCommerce site? We help with those.” He went on to give a few examples of the outcomes that end customers saw because of their product. He humanised their products in a way that it resonated and connected with everyone in the room. I thought to myself, “Why did I not tell our story like this?”

I had written in “Worldbuilding, Storytelling and Entrepreneurship”: “Entrepreneurs live in and build tomorrow’s world. For this, they must persuade those around them – co-founders, first employees, investors, and first customers. They have to bring to life a tomorrow which seems like fiction to many and yet is just around the corner. Entrepreneurs need to set and sell stories in this new world, just like how some writers have been doing. Worldbuilding and storytelling are the tools entrepreneurs use to make their breakthrough ideas and products succeed.”

I added, “A good entrepreneurial story is not just about what the product does, but why it matters. It paints a picture of a better future and positions the product or service as a means to that end. It humanises the company, making it easier for people to connect with its mission… the most effective stories are often the ones that tap into universal human experiences and emotions. They present the company’s mission as a shared journey, where every stakeholder is a crucial participant. This narrative strategy is powerful because it makes people feel a part of something bigger than themselves…Entrepreneurs thus need to become storytellers – imagining and even living in the future. They are building for a world a few years ahead because that is what it takes to go from an idea to customers. That world must be alive in their mind all through this time. Entrepreneurs compete for different visions of the future. Battles are first won by the stories because that is what the early adopters buy into.”

Storytelling has been at the heart of human culture since time immemorial. It’s an intrinsic part of our history and evolution, bridging the gap between generations, cultures, and geographies. The power of a story lies in its ability to leave a lasting imprint; it is through our tales that the essence of our lives and businesses come alive. They resonate with emotions, inspire action, and create memories. And yet, we don’t do enough of it. In this series, I will delve deeper into storytelling and why it matters – not just for entrepreneurs, but every one of us.

2

Wisdom – 1

Here is a collection of wisdom on storytelling.

Wikipedia: “Storytelling is the social and cultural activity of sharing stories, sometimes with improvisation, theatrics or embellishment. Every culture has its own stories or narratives, which are shared as a means of entertainment, education, cultural preservation or instilling moral values. Crucial elements of stories and storytelling include plot, characters and narrative point of view. The term “storytelling” can refer specifically to oral storytelling but also broadly to techniques used in other media to unfold or disclose the narrative of a story.”

National Storytelling Network: “Storytelling is the interactive art of using words and actions to reveal the elements and images of a story while encouraging the listener’s imagination.”

Hubspot: “Understanding new ideas can be confusing; stories can offer a way around that. Think about times when stories have helped you better understand a concept. Maybe a teacher used a real-life example to explain a math problem, or a speaker used a case study to convey complex data. Stories help solidify abstract concepts and simplify complex messages. Taking a lofty, non-tangible concept and making it relatable using concrete ideas is one of the biggest strengths of business storytelling… Stories are a universal language; they can bring people together and create a sense of community. Despite any barriers and differences, stories connect us through feelings and how we respond to them. We all understand the story of the hero, the underdog, or heartbreak. We all process emotions and can share feelings of elation, hope, despair, and anger. Sharing a story gives even the most diverse people a sense of commonality and community.”

Robert McKee (In Harvard Business Review in 2003): “A story expresses how and why life changes. It begins with a situation in which life is relatively in balance: You come to work day after day, week after week, and everything’s fine. You expect it will go on that way. But then there’s an event–in screenwriting, we call it the “inciting incident” – that throws life out of balance. You get a new job, or the boss dies of a heart attack, or a big customer threatens to leave. The story goes on to describe how, in an effort to restore balance, the protagonist’s subjective expectations crash into an uncooperative objective reality. A good storyteller describes what it’s like to deal with these opposing forces, calling on the protagonist to dig deeper, work with scarce resources, make difficult decisions, take action despite risks, and ultimately discover the truth. All great storytellers since the dawn of time – from the ancient Greeks through Shakespeare and up to the present day–have dealt with this fundamental conflict between subjective expectation and cruel reality.”

He adds: “A storyteller creates all characters from the self by asking the question, “If I were this character in these circumstances, what would I do?” The more you understand your own humanity, the more you can appreciate the humanity of others in all their good-versus-evil struggles. I would argue that the great leaders Jim Collins describes are people with enormous self-knowledge. They have self-insight and self-respect balanced by skepticism. Great storytellers – and, I suspect, great leaders – are skeptics who understand their own masks as well as the masks of life, and this understanding makes them humble. They see the humanity in others and deal with them in a compassionate yet realistic way. That duality makes for a wonderful leader.”

3

Wisdom – 2

Paul Zak: “My research has also shown that stories are useful inside organizations. We know that people are substantially more motivated by their organization’s transcendent purpose (how it improves lives) than by its transactional purpose (how it sells goods and services).  Transcendent purpose is effectively communicated through stories – for example, by describing the pitiable situations of actual, named customers and how their problems were solved by your efforts. Make your people empathize with the pain the customer experienced and they will also feel the pleasure of its resolution – all the more if some heroics went into reducing suffering or struggle, or producing joy.”

Vanessa Boris: “Good stories do more than create a sense of connection. They build familiarity and trust, and allow the listener to enter the story where they are, making them more open to learning. Good stories can contain multiple meanings so they’re surprisingly economical in conveying complex ideas in graspable ways. And stories are more engaging than a dry recitation of data points or a discussion of abstract ideas. Take the example of a company meeting. At Company A, the leader presents the financial results for the quarter. At Company B, the leader tells a rich story about what went into the “win” that put the quarter over the top. Company A employees come away from the meeting knowing that they made their numbers. Company B employees learned about an effective strategy in which sales, marketing, and product development came together to secure a major deal. Employees now have new knowledge, new thinking, to draw on. They’ve been influenced. They’ve learned.”

Shalini Lal: “Stories are particularly powerful in times of great change. They help us make sense of what is happening around us and what we should focus on. They help us reinterpret our place in the world and understand what action we need to take. As we enter a time of great change across our worlds, people will search for stories that help them make sense of these shifts. There is so much that is changing, and following all such shifts is beyond the capacity of most. Even if they managed to track change, they would need to give meaning to all that they were seeing and how these trends were connected. This is where powerful stories that focus attention will be compelling.”

Marie Hattar: “One of the biggest challenges facing the modern marketing team is how to break through rather than be drowned out by the content tsunami. Instead of pinning your hopes on the next magical adtech tool or some other marketing tactic in your arsenal, you should reorient everything around storytelling. This is because I’ve found that people don’t remember data or speeds and feeds; it’s stories that transcend time, people and cultures.”

Yoast: “To tell a good story, you usually have to include four elements: a character, a problem, an action, and a solution.”

Masterclass has 7 tips on how to tell a good story:

  1. Choose a clear central message.
  2. Embrace conflict.
  3. Have a clear structure.
  4. Mine your personal experiences.
  5. Engage your audience.
  6. Observe good storytellers.
  7. Narrow the scope of your story.

On structure, it explains: “There are many different ways to structure a story, but the three ingredients a story must have are a beginning, middle, and end. On a more granular level, a successful story will start with an inciting incident, lead into rising action, build to a climax and ultimately settle into a satisfying resolution.”

Marshall Ganz talks about the story of self, us, and now as part of a public narrative for building movements, as distinct from marketing: “[It goes] back to the questions of Rabbi Hillel, the first-century sage, which I’d learned about as a child: “If I am not for myself, who will be for me? If I am for myself alone, what am I? If not now, when?” It adds: “Public narrative is a process and not a script. It’s not something to tell over and over. It incorporates the stories of others as well as your own. It’s learned and practiced by telling, listening, reflecting, and telling again. Public narrative’s aim is building grassroots power by activating people through storytelling and connecting those stories to clear policy and campaign goals.”

4

Wisdom – 3

Peter Guber in “Tell To Win”: “The building blocks of all compelling stories, whether they’re told in person, in the pages of a book, or via actors on a screen or monitor, are challenge, struggle, and resolution. First … get your listeners’ attention with an unexpected challenge or question.  Next … give your listeners an emotional experience by narrating the struggle to overcome that challenge or to find the answer to the opening question.  Finally … galvanize your listeners’ response with an eye-opening resolution that calls them to action…The best stories lead from the heart, not the mind…Stories that “work” transport audiences emotionally. They move us to laugh, cry, gasp, sigh, or yell in sympathetic rage, and every listener intuitively demands this emotional propulsion.”

Jonah Sachs in “Winning the Story Wars”: “Stories are a particular type of human communication designed to persuade an audience of a storyteller’s worldview. The storyteller does this by placing characters, real or fictional, onto a stage and showing what happens to these characters over a period of time. Each character pursues some type of goal in accordance with his or her values, facing difficulty along the way and either succeeds or fails according to the storyteller’s view of how the world works.” He writes about the five qualities that make stories success:

  • TANGIBLE: Stories present information that makes concepts visible and human scale. They make people feel that they can “touch” and “see” an idea.
  • RELATABLE: Stories matter to us because their characters carry values that we want to see either rewarded or punished.
  • IMMERSIVE: Stories allow people to feel that they have experienced things that they have only seen or heard.
  • MEMORABLE: Stories use rich scenes and metaphors that help us to remember their messages without conscious effort.
  • EMOTIONAL: Stories elevate emotional engagement to the level of, and often beyond, intellectual understanding.

Carmine Gallo writes in “The Storyteller’s Secret” about the five types of storytellers: those who ignite our inner fire, those who educate, those who simplify, those who motivate, and those who launch movements. He adds: “History’s most inspiring leaders were storytellers…Many of the storytellers featured in this book changed the course of history. Some are business heroes. Some inspired movements. Above all, they are all dream makers. They reach for the stars and inspire the rest of us to create our own moonshots. This book is about the visionaries and risk-takers who have mastered the art of telling stories and who inspire us to live better lives. Some make us laugh. Some make us think. Some make us change. Through artfully telling stories that inform and challenge, they build companies, drive the world forward, and make us feel like we, too, can achieve the impossible.”

Some of the secrets discussed in the book:

  • Identify your brand’s core purpose.
  • Dream in moonshots.
  • Introduce a “hero”—person or product—who triumphs over adversity.
  • Make stories at least 65 percent of your presentation.
  • Deliver serious topics with a side of humor.
  • Use pictures to illustrate your story.

John Walsh, in his book, “The Art of Storytelling”, lists 14 steps for telling stories:

  • Step 1: Select a story
  • Step 2: Push through the story
  • Step 3: Envision the scene with present-day feelings and concerns
  • Step 4: Tell the story from the view of someone at the scene
  • Step 5: Establish the story’s central truth
  • Step 6: Find a memory hook
  • Step 7: Tell a story within a story
  • Step 8: Plan your first words
  • Step 9: Know how the story ends
  • Step 10: Research the facts
  • Step 11: Eliminate needless detail
  • Step 12: Add description to the story
  • Step 13: Include audience participation
  • Step 14: Arrange practice audiences

5

Wisdom – 4

Kindra Hall writes in “Stories that Stick”: “The most obvious gap in business is the void between the customer and the company…But while the sales gap is important, there are other gaps everywhere in business. There are gaps between entrepreneurs and potential investors, between recruiters and prospective employees, between managers and employees, between leaders and executives. To make a business work, you need to bridge the gaps…You must master three main elements to have any hope of building a bridge strong enough to get your intended audience—potential customers, key team members, investors, etc.—across the great divide: attention, influence, and transformation. First and foremost, the best bridges must capture attention and captivate the audience, so they know the bridge is there in the first place. The second element, influence, is the means by which you’re able to compel the audience to take the action you desire. And third, if you don’t want to have to keep bridging the same gaps over and over again, the best bridges transform the audience, creating a lasting impact and leaving the audience changed, so they never even consider returning to the other side of the bridge, thereby closing the gap forever.”

Jerry Weismann writes in “Presenting to Win”: “The good presenter grabs their minds at the beginning of the presentation; navigates them through all the various parts, themes, and ideas, never letting go; and then deposits them at the call to actionThe effective presenter makes it easy for the audience to grasp ideas without having to work. The effective presentation story leads the audience to an irrefutable conclusion. The journey gives the audience a psychological comfort level that makes it easy for them to say “yes” to whatever the presenter is proposing. Presenting, therefore, is essentially selling…In the end, the most subtle impact of a clear and compelling presentation is perhaps the most powerful effect of all: The person who is able to tell an effective business story is perceived as being in command, and deserves the confidence of others. When you are in command of your story, you are in command of the room. Your audience will follow where you lead, and so will money, influence, power, and success…Persuasion is the art of moving your audience from Point A, a place of ignorance, indifference, or even hostility, toward your goal . . . navigating them through an unbroken series of Aha!s . . . to Point B, a place where they will act as your investors, customers, partners, or advocates, ready to march to your drum.” He adds: “Constantly ask the key question: What’s in it for you?” He calls it WIIFY, with the “you” referring to the audience.

In “Everyday Business Storytelling”, Janine Kurnoff and Lee Lazarus write: “To the majority of us, it’s not obvious how to authentically incorporate storytelling into our daily work lives. Instead, we resort to what we do know. We leverage existing content for a “quick fix.” We grab our latest slide deck that we (or our co-worker) built as a starting point, and from there we cobble together slides. We load up on bulleted text. We pile in every chart we can find. We even add in some “pretty” slides that we found on the corporate portal from the marketing team. We have a very technical term for this type of incoherent, hodgepodge communication. We call it a Frankendeck.” They add: “Every story has four structural elements—or signposts. They are setting, characters, conflict, and resolution. These signposts create a pattern of ideas that feel familiar, feel human, feel satisfying, but most importantly, just feel. And if ideas make us feel, we remember them…The first three signposts of storytelling—setting, characters, and conflict—can be introduced in any order. In fact, many stories start with conflict before we have zeroed in on any characters or established setting… The resolution must always come last.”

Indranil Chakraborty writes in “Stories That Work”: “For Sale: Baby shoes. Never worn. When you read these six words, what feelings do they evoke? Don’t these six words immediately make us empathize with an unknown, grief-stricken woman? We can almost visualize the situation and our hearts go out to her. Ernest Hemingway wrote this story, calling it a six-word novel. It shows the almost visceral effect stories can have on us.”

6

Wisdom – 5

Janis Forman writes in “Storytelling in Business”: “If you are planning to use storytelling in your work, the place to begin is by putting together your signature story. Much like your signature, your “signature story” is unique to you and is probably the most personal of stories you’d share in business settings. It may reveal something about your character—what you value—and take the form of an autobiographical excerpt; that is, a personal story (and versions of that story) about a significant experience, relationship, accomplishment, or failure that has given you insights about who you are as a person and a professional.” Janis lists some questions to ask:

  • What specific experiences have you had with a mentor, a family member, a teacher, friend, boss, colleague, or significant other who has had a substantial impact on who you are as a person and a professional?
  • What major challenge have you faced in your personal or professional life? What choices did you make, and what insights did you gain from this experience?
  • What stories told to you, read in a book, or seen in a film move you,—and what does this say about you as a person and a professional?

Matthew Luhn writes in “The Best Story Wins”: “There is a scientific reason why stories stick in our minds. Way back in our evolution, when humans developed the ability to speak, we communicated about life or death situations, like being chased by a tiger, successfully hunting a bison, or avoiding poisonous plants. We know that storytelling was important to our early ancestors because we have “storyboards” of those life lessons that date back thousands of years painted on cave walls. The ancient people that learned the lessons of those stories lived, and the ones that didn’t died…Along with being memorable, stories are impactful. Stories take us on a roller-coaster ride, a journey through high moments (happiness, anticipation, surprise) and low moments (sadness, fear, anger) that actually affect our bodies on a chemical level. Science has revealed that the chemicals in our tears produced by laughter are different than the chemicals in our tears produced by sadness. When we see or hear people—or even animated toys, robots, or rats—laughing, smiling, or sharing stories of suspense, dopamine and endorphins are released in our bodies; when we see or hear anything sad or somber, oxytocin is released. When we place these sad and happy moments next to each other in a story, we build an amusement park ride for people’s hearts and minds. Ups and downs, tension and release, you’ve created a story that keeps an audience sitting on the edge of their seats.”

Bernadette Jiwa writes in “Story-Driven”: “Every business is driven by one of two philosophies. A company is either competition-driven or story-driven. The competition-driven company is reactive to the marketplace and prioritises beating its competitors and racking up profits. It identifies with the capitalist ideal and is intent on keeping score. The people who lead competition-driven organisations seek to dominate the market and maximise shareholder value. They care about increasing market share, boosting the single bottom line and raising their status as ‘the leader’ in their category. Their goal is to win. In contrast, the story-driven company is responsive to customers and prioritises having a clear sense of purpose and identity. It makes little reference to the competition and is intent on creating an impact. The people who work there derive a deep sense of meaning from their work because they know their company exists to do more than simply make a profit. The leaders of story-driven companies (big and small) have clear visions for the future they want to see, and they inspire their teams to join them on the journey to creating that future. They often succeed by doing things that can’t be measured or are not immediately scalable. Story-driven companies have a positive impact on their customers and society. They thrive by making the connection between their purpose and prosperity. Their goal is to make a difference.”

7

Hero’s Journey

One of the most common templates for storytelling is the hero’s journey, or the monomyth. It involves a hero who goes on an adventure, faces challenges, is victorious, and comes home changed or transformed. Think Frodo Baggins in “Lord of the Rings” or Luke Skywalker in “Star Wars”. Here is an illustration from Wikipedia of the Hero’s Journey.

I asked ChatGPT to summarise the hero’s myth in the context of storytelling (with light editing).

The art of storytelling is ancient, predating written language and serving as the bedrock for human civilization’s cultural and moral structures. Among its varied formats, the ‘Hero’s Journey,’ as conceptualised by Joseph Campbell in his seminal work “The Hero with a Thousand Faces,” stands out as a particularly resonant and universal template. This narrative pattern has been employed in epics, films, novels, and even in modern business storytelling. The consistent appeal of the Hero’s Journey lies in its reflection of human experiences, challenges, growth, and transformation.

At its core, the Hero’s Journey comprises three fundamental stages: Departure, Initiation, and Return.

Departure: This is where our protagonist, often an ordinary individual in a familiar world, encounters a ‘Call to Adventure.’ The hero may be reluctant at first, often exhibiting resistance or refusal. However, with the guidance of a mentor, the hero musters the courage to cross the threshold into an unknown, often fantastical world.

Initiation: As the hero ventures into the unfamiliar territory, they face trials and tribulations, confronting enemies and uncovering allies. This stage is crucial for character development, as the hero learns, adapts, and grows stronger, both internally and externally. The climax of this phase is the ordeal, where the hero must confront their biggest fear or challenge, resulting in a transformation or rebirth.

Return: With the ordeal overcome and the reward in hand, the hero commences the return journey to the ordinary world. However, this path is seldom smooth. The hero must reconcile the lessons and powers acquired during the initiation with their original environment, often facing resistance or final tests. Ultimately, the hero emerges triumphant, bringing boon or knowledge back to their community, resulting in the betterment of both the self and the society.

So, why does this template remain so universally appealing in storytelling? Firstly, the Hero’s Journey mirrors the human life cycle and our personal quests for meaning, purpose, and identity. Each of us, in different ways, embarks on journeys, faces challenges, grows, and aims to return transformed. The narrative template taps into this shared human experience, making the story both personal and universal.

Secondly, the Hero’s Journey showcases transformation. It highlights that challenges, no matter how insurmountable they seem, can lead to growth. This underlying message of hope and the possibility of metamorphosis resonates deeply with audiences, providing both escapism and inspiration.

Moreover, the cyclical nature of the Hero’s Journey, where the end often hints at a new beginning, reflects the cyclical nature of life itself. It emphasises the idea that learning and growth are continuous processes, and challenges will always lead to newer horizons.

In modern storytelling, variations of the Hero’s Journey have been employed in blockbuster films, bestselling novels, and even brand narratives. Think of classics like “Star Wars” or “Harry Potter” or brand stories where companies position their products as solutions to challenges, making the customer the hero of their own journey.

In conclusion, the Hero’s Journey, with its stages of departure, initiation, and return, offers a timeless narrative structure that resonates deeply with human psychology and experience. It serves as a mirror to our challenges, aspirations, and transformations, emphasizing the potential for growth inherent in every challenge. As storytellers continue to adapt this template to contemporary contexts, the Hero’s Journey will undoubtedly remain a cornerstone of compelling narratives, connecting us to our shared human essence.

8

My Stories

Over the past couple years, I have tried to bring more storytelling in my writing and presentations. My book, “Startup to Proficorn”, has many stories from my entrepreneurship journey. While I do not always follow the templates of good storytelling, I do try and bring in the problem-solution aspect. Within Netcore, when I need to talk about some of the changes we need to do, I try to begin with a customer story. Here are my stories that I have found resonate with the audience.

  • IndiaWorld origin: the story of how I returned from the US, failed with my early entrepreneurial efforts, and then got the idea of creating India’s first Internet portal focused initially on the information needs of Indians outside India.
  • Launching Samachar, Khoj, Khel, Bawarchi: the story of how I lost IndiaWorld.com (the primary domain) and then came up with sites with Hindi names that differentiated us and became memorable.
  • IndiaWorld exit: this is by far the most exciting story I tell of how I sold IndiaWorld for 166 times revenue. There is some drama (failed efforts to raise venture capital), a bidding war, and excitement (how the valuation went from $40 million to $115 million in less than a couple weeks). There is also an epilogue – the dotcom crash and how the exit timing mattered.
  • Replacing myself as CEO of Netcore: this is the one founders I speak to have the most questions on – how I made the decision to bring in a CEO to run the business in 2007. How did I decide? Who did I choose? What was it like after I made the decision?
  • Netcore’s SaaS transition: this is the story about the time in 2019 when Kalpit (Netcore’s current CEO) and I attended SaaStr and realised we needed to change Netcore’s product, sales, and marketing model if we had to target markets like the US.

At a personal level, there are a few stories that connect well.

  • The story of how I returned from the US: this was because of what my father had told me when I left – finish Masters in 9 months, work for 2 years, and then come back.
  • The failures in the first 3 years after I returned: how I tried multiple ideas as an entrepreneur and each one of them failed
  • My 30 failures over 30+ years as an entrepreneur: while I do spend time talking about my successes, I also discuss how the journey of experimentation has many flops and the pain of each idea that did not grow.
  • The birth of Abhishek: how my wife and I went through 5 years of IVF treatment to have a baby.
  • My political entrepreneurship with Niti Digital and Nayi Disha: why I embarked on that path, and the outcomes in 2014 (success) and 2019 (failure)

When I tell my personal stories, I tell it like it happened and with authenticity and humility. In the past few months since the publication of my book, I have done multiple interviews and presentations, and it is always the stories that people remember rather than the generic advice that I mention from my learnings. I am still learning the art of storytelling – and so should you.

9

Your Stories

We tell stories all the time – to our friends, to colleagues at work, to strangers we meet on flights or at events. From anecdotes shared over coffee to corporate presentations, the art of weaving a captivating tale is invaluable. By honing this skill, we can create deeper connections, leave lasting impressions, and truly make our messages resonate. Here are a few suggestions.

  • Unearth life’s turning points: Reflect on the pivotal moments in your life. What are the crucible experiences that shaped you? Identifying these and understanding their impact can form the foundation of a compelling story. Articulate them in ways that evoke emotions and provoke thought.
  • Maintain a story bank: Just as a writer keeps a journal, maintain a repository of stories tailored for various situations. Being vigilant about everyday observations can yield a treasure trove of gems. Because of my blog, I need a steady inflow of content and so I am extra alert for interesting observations and experiences. Some of them have found their way in my Life System writings.
  • Transform experiences into narratives: Cherish life’s significant moments. Don’t forget them. They can come in useful when they can be connected to learnings. I was telling a colleague about a recent experience at a hotel where I was staying. Among the staff at the restaurant was this person who was so cheerful and greeted every guest individually. Just seeing her smile in a roomful of strangers gave a nice start to the day. When I was leaving on the third morning, she said she hoped I would be back the next morning. When I told her I would be leaving that night, she made a sign of tears – which converted into a smile when I said I would be back for a day the following week. I use this story on how each of us can become memorable – even in short meetings with people we don’t know and leave a mark.
  • Reimagine presentations: I am very text-oriented when I make my slides. I use bullet points which I talk through. I have been thinking of how to change this and make it more story-oriented with imagery and a few words. Visuals, paired with concise text, can be powerful. Incorporate imagery, metaphors, or even short anecdotes to make your points memorable.
  • Be an avid learner: Engage with diverse storytelling mediums – books, movies, or YouTube videos. Analyse what captivates you. Is it the pacing, the character development, or perhaps the plot twists? Gleaning insights from these sources can significantly elevate your storytelling prowess.
  • Understand your audience: Tailor your story to your listeners. Consider their background, interests, and values. A story that resonates with one group might not resonate with another.
  • Embrace vulnerability: Authentic stories often come from a place of vulnerability. Sharing personal challenges or lessons learned humanises you and builds trust with your audience.
  • Conclude with a message: Every good story has a moral or message. Ensure your listeners walk away with a clear understanding of the core idea or lesson you intended to convey.
  • Practice makes perfect: Seize every opportunity to share your stories. Through repetition, refine your narrative. Stories become better as we tell them. Pay attention to your audience’s reactions; tweak phrases or sequences based on what resonates best.

Storytelling is an intricate blend of art and science, imagination and structure, emotion and logic. By continually refining this craft, we can touch hearts, inspire action, and leave an indelible mark on our listeners.

 10

Storytelling in Business

Netcore operates in a crowded and competitive market. The question I have been thinking of is: how can we tell a better story to set ourselves apart from the competition? Can we go beyond comparing features and showing dashboards of data? Can we talk about a future which Netcore is uniquely positioned to bring to life? Can our storytelling give us a competitive advantage – creating a blue ocean in a red ocean? How can we stand out in a sea of sameness? Here are a few themes I have been working on.

  • I start with a new and memorable phrase to describe the problem. In Netcore’s case, the word I have been using is “profipoly” (profits monopoly). I tell a story about how companies like Google, Apple and Microsoft have created a profits monopoly which delivers exponential forever profitable growth for them – and keeps competitors at bay. Every business needs to aspire to become a profipoly. And I plan to show them how to do it.
  • I discuss how marketing has made a wrong turn by not focusing on profitable A focus on branding, acquisition, and retention has meant that growth comes at the cost of profits. I show the state of brand P&Ls (profit and loss statement), and how marketing is one of the biggest contributors to profitless (profitless or less profits) outcomes.
  • I then bring in the agents of change – the breakthrough ideas and innovations. This is the exciting part of the story – where the troubled past can give way to a happy future.
  • I finally show the outcomes – happier customers with memorable experiences, and better P&Ls. All this can lead to sustainable profitable growth.
  • I end with a roadmap and a hero – the 90-day plan (call-to-action) which needs a “Chief Profipoly Officer” to implement it. This also shows CMOs a possible future to the corner office, something they can rarely aspire to in their current roles.

As I have been telling this story, I also feel an inner excitement – of talking about something new, of linking it to a brighter future, of showing the big picture of how becoming a profipoly is marketing’s fourth wave and final frontier. I used to do this a lot in the early days of IndiaWorld – evangelising the infinite potential of the Internet, and how the business could benefit by becoming an early adopter. For the past years, my writings have focused on a new world of marketing, and I now need to tell the story of how digital businesses can finally bring in the one thing that’s missing – profits.

**

Stories are what we grow up with. When we as babies cannot read, we listen to stories told to us by our parents. They help us understand and interpret the world. Like the lost art of asking beautiful questions, somewhere down the line as we grow up, we forget about how important stories are to every form of communication and interaction. It is time for each of us to learn and practice storytelling – in our personal and business lives. As Steve Jobs said when he was CEO of Pixar: “The most powerful person in the world is the storyteller. The storyteller sets the vision, values, and agenda of an entire generation that is to come.”

 

Thinks 1087

Charlie Munger: “It’s hard for us not to love brands, since we were lucky enough to buy See’s candy for $20 million as our first acquisition. We found out fairly quickly that we could raise the price every year 10%, and nobody cared. We didn’t make the volumes go up or anything like that. Just made the profits go up. We’ve been raising the price by 10% a year for all these 40 years or so. It’s been a very satisfactory company. It didn’t require any new capital. That’s what was good about it: very little new capital. It had two big kitchens and a bunch of rental stores when we bought it, and now it’s got two big kitchens and a bunch of rental stores.” WSJ: “I like stock picking because it kind of reminds me of hunting and fishing. Any day you can have a new thing that might be interesting…. But I think fewer and fewer people are really needed in stock picking. Mostly it’s charlatanism to charge 3 percentage points per year or something like that to manage somebody else’s money. Most people probably shouldn’t do anything other than have index funds…. That is a perfectly rational thing to do for somebody who just doesn’t want to think much about it and has no reason to think he has any advantage as a stock picker. Why should he try and pick his own stocks? He doesn’t design his own electric motors and his egg beater. ”

NYTimes: “WhatsApp has become increasingly crucial to Meta, the company that owns Facebook, Instagram and other apps. More than half of Americans ages 18 to 35 who own a cellphone have installed WhatsApp, according to the company’s studies, making it one of Meta’s fastest-growing services in its most mature market. Ads on Facebook and Instagram that push users to WhatsApp and its sister messaging service, Messenger, are also growing so rapidly that they may reach $10 billion in revenue this year, the company recently said. “If you’re envisioning what will be the private social platform of the future, starting from scratch, I think it would basically look like WhatsApp,” Mr. Zuckerberg, 39, said. WhatsApp’s momentum is a reminder that Meta remains at heart a business powered by its family of social apps.”

WSJ: “The gap between CEO and CMO isn’t new, but it has widened in recent years as more C-suite leaders, with scant to no experience in marketing, reach out to the department hoping to find growth drivers in a very mixed economy, said Robert Tas, a partner at McKinsey and a co-author of the report. Only 10% of CEOs at Fortune 250 companies have ever worked in marketing, he noted. CEOs today are expected “to understand the impact of things like content and TikTok and data-driven marketing,” said Tas. In the past, they were “used to seeing television commercials in boardrooms.” In some ways, marketers have undercut themselves by adopting esoteric terminology and data points that mean little or nothing to other C-suite executives, said Nicholas Caffentzis, senior fellow and adjunct professor of marketing at Northwestern University’s Kellogg School of Management.” More from McKinsey: “CEOs who place marketing at the core of their growth strategy are twice as likely to have greater than 5 percent annual growth compared with their peers.”

FT: “Christian Ward, the chief data officer of Yext, the digital experience platform, says the fact that generative AI can understand human language has helped. He says that when internet search evolved, users learnt to “speak keywords . . . bending their behaviour to computers”. With generative AI people no longer have to be tech-savvy despite its advanced technology. AI is “human-savvy” and allows us to communicate with it naturally, making it more accessible. “It used to be that computer-savvy humans had an advantage,” Ward says. “Now that computers are human-savvy, that advantage is being democratised. That is absolutely one of the biggest breakthroughs we have seen in technology in a very long time.””

WSJ: “A recent study looking at sleep and longevity found that sleep “regularity”—going to bed and waking up at consistent times with few mid-slumber interruptions—matters more than how long you sleep. Sleeping six hours every night on a consistent schedule was associated with a lower risk of early death than sleeping eight hours with very irregular habits. The study adds to a growing understanding of the links between sleep and longevity. Research in recent years has shown not only how important sleep is for health and lifespan, but also that the duration of sleep isn’t the only thing that matters. “We’ve been missing maybe half of the story,” says Matt Walker, a neuroscientist and director of the Center for Human Sleep Science at the University of California, Berkeley, who wasn’t involved with the recent study. “Not just how much you sleep but the regularity with which you sleep has now come onto the map and exploded as perhaps the more important thing.””

Progency: The Profipoly Pathway

Published December 23, 2023

1

Past Writings

I have written about the need for “profipoly” (profits monopoly) being marketing’s fourth and final frontier. One of the twelve innovations that I discussed was the “progency” (product-led agency).

To start with, here is a compilation of my previous writings about progency.

Progency for Martech: The Missing Link:

A Progency (product-led agency) melds product offerings with a streamlined layer of agency services, anchored around the product itself, and adopting a performance-driven pricing model. Operating as an extended and integral arm of the marketing team, a progency doesn’t just deliver results; it thrives on them. Its compensation is tied to performance, transitioning it from a simple service provider to a genuine business ally. In essence, a progency encapsulates the concept of a “profits agency” – a technological ally that collaborates with brands to both guarantee and partake in profit generation.

This product-led agency will combine content and creative skill sets with number-crunching and software capabilities to build on top of a proprietary full-stack martech platform to deliver the outcomes marketers want with a performance (success-based) model. The progency will help marketing teams outsource the outcomes they want – just like is being done with adtech agencies that generate leads, app installs or new customers and are paid based on results.

The progency will be different because for the first time an agency will build solutions on top of its own product. In the past, agencies have not focused on having their own internal products. Adtech agencies have used products provided by Google and Facebook, and then overlaid their creative and analytical skills to deliver results. The progency will be tech-first, owning a martech platform. Ownership is important because only the developers will fully understand the power of what their platform is capable of. This is what will provide a sustainable competitive advantage to the progency – and ultimately benefit brands.

Martech 2.0: Adtech-Style Performance Pricing Transformation: “Digital advertising is $450 billion, while martech (its ‘poor’ cousin) languishes at a fraction of that ($50 billion). If martech is to rise, then it needs to copy adtech’s pricing model – make its pricing linked to outcomes. Every martech company will thus need to think of itself as a “progency” (product-led agency), delivering measurable revenue growth to capture a percentage of the upside. Done right, this shift can enable martech companies to grow their TAM (total addressable market) and transform brand P&Ls by driving profitable growth… Performance-based pricing is the foundation of Martech 2.0, heralding a shift from point solutions to a progency (product-led agency) model. Done right, it will make martech companies the profit enablers for B2C businesses and power their own version of exponential forever profitable growth… [The progency model recognises] the complexity of martech platforms and the necessity for expert ‘operators’ who can combine right- and left-brain skills to maximise their benefits. Delegating usage to in-house teams at brands or pure-play martech services companies may not leverage the full benefits of these platforms. Martech product companies, with a thin layer of added services, are best suited to unlock the full potential of these platforms.”

Martech 2.0: A New Profits Paradigm for Marketers and Vendors: “The martech industry missed a step by not capitalising on adtech’s success. Initial vendors focused on consumption (like emails and SMS sent) and predictable platform fees based on Monthly Active Users (MAUs). Also, marketers weren’t paying much attention to martech spend, as they had plentiful funds, which were mostly allocated for new customer acquisition. Only recently has there been a shift towards sustainable, profitable growth. Martech vendors need to appreciate the power of considering brand spending as Cost of Goods Sold (COGS). It may initially seem risky due to revenue uncertainty, but in the long run, this approach opens up “infinite budgets,” much like adtech. This balance shift can expand the Total Addressable Market (TAM) for the martech ecosystem. But this requires a shift from predictable Monthly Recurring Revenue (MRR) from SaaS sales to a “progency” (product-led agency) model with a service component and outcome accountability.”

I have written about the progency idea to solve the problem of reactivation.

4M and Netcore 2.0: A Framework for Exponential Growth: [The Rest] customers who while they generate some revenue could negatively impact profitability because of the marketing and servicing costs. This is where a brand should consider outsourcing management of these customers to a “Progency” (product-led agency) whose focus should be activate them, engage with them, and get them to create carts ready for checkout using the breakthrough innovation of Email Shops. Progency is a new-gen martech services entity where product (unistack) meets agency. A progency can work like a performance marketing entity taking on KPIs and delivering the outcomes marketers want. For this, a progency will need to combine software and analytical skills with traditional creative skills, uniting left-brain and right-brain resources. It can work as an extension of the marketing department taking on specific tasks with success-linked compensation. The progency can work on the [dormant] customers and reactivate them by using push messaging, rewards, affinity-based content, the full stack DXP (digital experience platform), and a touch of paid media if needed. The key point is that the progency takes complete responsibility for the dormant database and delivers activated customers at a lower price point than what reacquisition would cost…A Reactivation Progency targets the often-ignored segment of dormant customers. By reactivating these users, we are breathing new life into a segment that would otherwise require costly and time-consuming reacquisition efforts. In essence, we are converting a potential liability into an asset.

ProfitXL to Profipoly: Solving the Four Funnel Frictions: “A [Reactivation] Progency is a product-led agency which operates based on an adtech-influenced performance pricing model. This approach harnesses the power of martech to revitalise dormant customers and stop customers from churning using a myriad of techniques: firstly, it leverages existing opt-in permissions to send incentivised and interactive emails, thereby increasing the likelihood of engagement; secondly, it combines data enrichment with targeted content and offers for the inactive individual; and finally, it operates an ad exchange program embedded in the email footers of cooperative, non-rival brands…Delegating this responsibility to a specialised partner is more beneficial than burdening the ecommerce brand’s internal team, as it allows for dedicated focus, fosters innovation, and enables the marketing team to concentrate on cultivating the highly profitable “Best” customer base instead of the lengthier and less profitable tail.”

In this series, I will discuss in depth why progency is the most important enabler for the transformation of a digital business from being profitless to profipoly.

2

Overview

Here is a summary of the profipoly narrative.

  • Marketing’s first three waves – branding, adtech, and martech – have fallen short in boosting profits for digital businesses. The crux of the issue lies in the disproportionate expenditure on new customer acquisition, which consumes a lion’s share of marketing budgets. This leaves a meagre portion for brands to nurture and deepen ties with their existing customers. The narrative has been predominantly about relentless pursuit (hunting) with scant attention to nurturing (farming).
  • The biggest profit killer is the AdWaste that is rooted in the performance marketing and adtech spends. Half of the money is being wasted on wrong acquisition and reacquisition. Globally, this is a $200 billion problem. The antidote isn’t mere ad spend optimisation; it’s a paradigm shift towards valuing existing customers. The true remedy to the adtech conundrum is a martech metamorphosis.
  • The prevailing martech framework, encompassing data, user experience, and communication, has become While many brands possess this stack, its potential remains largely untapped. The focus needs to shift to a “profipoly stack” to solve the three problems of retention (maximising lifetime value, or LTV), conversion (predicting next best action), and engagement (enabling inbox commerce).
  • The intricacies of the martech/profipoly stack are undeniable. While AI can help with campaigns, creatives, and customer journeys, it does not do away with the need for domain experts. Brands and their marketing departments need help. This is where the progency comes in. It combines SaaS with service, platform with pay-for-performance. The progency is the missing link in martech.

This is a brief of the progency imperative.

  • Think of the brand’s farming business (focused on existing customers) as having two parts. The straightforward segment comprises the Best Customers, those who actively engage with the brand, frequenting the website or app. Their consistent purchasing behaviour, coupled with substantial order values, fuels business growth.
  • The challenge arises with the segment that remains passive, failing to engage, convert, or stay loyal (“one-and-done”). They need persuasion and personalisation to purchase. If they don’t, they’re relegated to the adtech realm for retargeting, incurring additional costs for brands to re-engage a once-acquired customer.
  • Progency’s prowess extends beyond the Best Customers. The untapped potential lies with the Rest and Test customers. The former represents the median segment, while the latter denotes the long tail. Their unique needs often go unaddressed by conventional marketing teams. Progency, with its outcome-driven compensation model, is the solution, acting as a conduit for waste reduction and recycling before potential customer loss.

The market for martech solutions is estimated at a few billion dollars (excluding the cost of sending messages). Progency with the profipoly stack is a 10X bigger opportunity – aimed at the $200 billion AdWaste. It is the key to unlocking new revenues for brands, leading to exponential forever profitable growth. Analogous to the transformative impact of the lithium-ion battery in the EV realm, progency is set to catalyse marketing’s profipoly revolution.

3

Claude Summary

I asked Claude.ai to examine some of my past writings and the introduction to this series, and provide a summary covering profipoly, progency, and their connection. Here is the lightly edited result.

The profipoly narrative is anchored on two key pain points plaguing digital businesses:

Firstly, the ballooning expenditure on acquiring new customers, which accounts for a staggering 80% or more of marketing budgets. This myopic fixation on endless hunting for new customers completely overshadows the more profitable farming of existing ones.

Ironically, this skewed prioritisation stems from the promise of limitless scale that lured brands into the digital realm. The narrative was irresistible – cast your net wide into an ocean of endless customers and profits will flow. However, that vision underestimated the vastness and complexity of digital landscapes. As competitors flooded the space, visibility became a precious commodity and customer attention, a scarce resource. A relentless race ensued, with brands desperately trying to replenish their leaking bucket of customers by pouring more into ceaseless acquisition efforts.

In the process, marketers lost sight of the trove of value that already existed within their grasp – their current customers. Compelled by the temporary delight of an expanding user base, brands focused disproportionately on the top of the funnel. They disregarded the potential of optimising further down the funnel by nurturing existing relationships. This oversight led them down a spiral of escalating acquisition spends at the cost of long-term profit maximisation.

The second, and equally self-inflicted wound is the egregious inefficiency of new customer acquisition efforts. Studies peg the wasted spending, termed as “AdWaste,” at nearly 50% of acquisition budgets. This lost spending stems primarily from two sources:

  • Misguided acquisition – Securing customers who are the wrong fit, thereby delivering low lifetime value.
  • Misguided reacquisition – Retargeting inactive customers acquired previously instead of re-engaging them through owned media channels.

Essentially, the combined obsessive focus on securing new customers regardless of fit or cost, along with the gross inefficiencies of those efforts, has steadily bled marketing budgets dry. This has stifled profitability, preventing the attainment of sustainable, profitable growth at scale.

The apparent quick-fix solution that marketers opt for is tighter ad budget management or improved attribution to optimise digital spends. However, incremental optimisations on an already bloated and leaking bucket provide minimal relief.

The real solution lies not in trimming budgets but recalibrating priorities. Brands must fundamentally refocus their efforts on three distinct customer cohorts:

  • Best Customers: Maximise lifetime value from the top 20% who drive a disproportionate share of profitability
  • Rest Customers: Graduating them to become the next “Best” customers
  • Test Customers: Cost-effectively manage the long tail of low-lifetime-value customers

This necessitates tailored strategies to nurture each group, aligning investing with the potential value derived. Best customers warrant premium experiences that cement loyalty and increased wallet share. The Rest require guidance to evolve them into their higher spending avatars. The Test segment needs low-touch engagement that sustains the relationship without accumulating servicing costs.

However, executing this transition in focus requires specialised capabilities that most marketing teams lack. Teams aligned for endless acquisition find themselves underprepared for the data-driven, customer-centric demands of profipoly strategies. This mismatch between needs and capabilities is precisely where the progency model demonstrates its indispensability.

By fusing martech products with targeted services and performance-based pricing, progency fills the profipoly capability gap. Operating as an extension of the marketing team, the progency focuses its efforts on revitalising dormant customers and driving referrals. Both initiatives optimise underutilised marketing assets to reduce AdWaste and accelerate profitability.

Its pay-for-performance model also perfectly aligns incentives, rewarding the progency only when its efforts successfully deliver defined profipoly outcomes for the brand. In a sense, it transforms the service provider-client relationship into a genuine business partnership focused on a shared mission to boost profitability.

In essence, progency is the missing key for unlocking profipoly. Its combination of specialised profipoly capabilities and tight alignment of incentives make it the ideal change agent to catalyse brands’ transformation from a Sisyphean pursuit of new customers to a glorious future of maximised lifetime value and exponential profitability.

Together, profipoly and progency provide the solution to the $200 billion AdWaste conundrum that has plagued digital businesses.

4

Six Advantages

Progency represents a groundbreaking shift in the martech landscape. Born from the fusion of product offerings and specialised agency services, progency operates with a performance-driven pricing model, ensuring its compensation is intrinsically tied to the results it delivers. Unlike traditional agencies that rely on external products, progency is tech-first, owning its proprietary martech platform. This ownership ensures a deep understanding of the platform’s capabilities, granting a competitive edge. Progency’s primary focus is on revitalising dormant customers, transforming them from potential liabilities into assets. By leveraging a myriad of techniques, from incentivised emails to targeted content, progency aims to reactivate these customers, offering brands a cost-effective alternative to reacquisition. In essence, progency is poised to be a pivotal force in transitioning digital businesses towards sustainable profitability, heralding the era of “profipoly” or profits monopoly.

The progency model brings six distinct advantages that make it a compelling innovation.

First, progency transcends the traditional service model of an agency; it is a creation of the martech SaaS entity. The progency is birthed by a product company which adds a thin layer of services. It is a unique play because software companies do not create their own servicing divisions and instead choose to work with external partners who bring in the people, and servicing agencies do not create their own products. Think of the progency is the third way in martech – a middle path between the two extremes of software and services. Being created by a martech company, the progency has privileged access to specialised talent like data scientists, campaign strategists, and tech developers. This depth of expertise is hard to replicate externally. The martech creator of the progency also has access to aggregated data across client implementations. These insights can feed into improving the progency’s strategies. The progency’s direct association with an established martech product bestows greater credibility in the minds of prospects. This can accelerate adoption.

Second, the progency introduces its proprietary martech suite, the “profipoly stack.” While this might necessitate additional integrations like a Javascript add-on or an SDK, it ensures that the creators have full command over the technology. Traditional martech agencies work with pre-installed stacks and bring in people. The inability to have mastery over the software limits their eventual effectiveness. The progency’s autonomy over its tech stack facilitates rapid testing and deployment of new features to drive better outcomes. It is unencumbered by the longer delays typical of third-party platforms. This combination of a SaaS product leveraged by the organisation that built it is a novelty in the world of software.

Third, while the progency can focus on existing customers, its forte lies in its focus on the “leftovers” – the ones who are not engaging, not converting, and not retained (one and done). The focus on neglected customer cohorts creates a “blue ocean” positioning, minimising overlap with a brand’s internal initiatives. Instead of replacing, progency complements existing marketing strategies and customer success teams.

Fourth, the progency champions a fresh metrics paradigm. While I’ve previously introduced the Profipoly Score, a more streamlined metric is the EnCoRe (ENgagement, COnversion, REtention) Triad. Aptly named, as ‘encore’ signifies repetition, this metric offers a lucid view of progency’s influence on profitability-linked outcomes, setting the stage for transparent revenue-sharing agreements between the brand and the progency.

Fifth, the progency’s performance-based compensation model is tied directly to the revenue expansion achieved for brands. This ensures perfect alignment with brand objectives. As the progency’s efforts directly contribute to revenue that might otherwise remain untapped, brands can confidently reward it with a share of the incremental sales. This is exactly what is happening in adtech with its cost-per-click pricing. The progency thus become a true business partner, not just a vendor.

Lastly, emulating the adtech model, progency benefits from a virtually limitless budget. Unhindered by arbitrary budget caps, the progency stands to gain significantly when it surpasses targets, fostering a culture of continuous innovation.

In summary, these six facets – martech entity ownership, the parallel existence of the ‘profipoly stack’, targeting the ‘blue ocean’ of overlooked customers, innovative performance metrics, outcome-based compensation, and boundless earning potential – position the progency as an indispensable and integral partner for brands. By bridging the martech execution chasm and paving the way for enduring profitability, the progency is poised to be the spark that promises to ignite marketing’s profipoly wave.

Next, we will discuss each of these six ideas.

5

SaaS + Service Synergy – 1

A few months ago, I met a banker at a café near Los Angeles airport. While we had interacted many times on Zoom during the pandemic, this was our first in-person meeting. He advised companies on their M&A strategies and thus had a good window on the thinking of top management and industry direction. I explained what Netcore does – a B2B SaaS company focused on helping B2C/D2C brands build deep customer relationships. After I had finished, he said, “Rajesh, you are missing a trick. You need to think not SaaS, but SaaS and service. Add a thin layer of services if you want to win in the US market. No VC-invested SaaS company will do services, and that can be your competitive advantage with your India base. I have worked with some of the large US consumer brands. They buy the expensive marketing cloud platforms but don’t know how to make the best of them. They are hurting. They need help. If you can combine the power of your platform with people capable of delivering the outcomes, you will have a winner on your hands.”

His words resonated with the challenges I had heard from US consumer brands at multiple trade shows I had attended. Despite investing heavily in sophisticated marketing cloud platforms, they grappled with optimising their potential. The crux of the issue was the need for a holistic solution that merges the prowess of a platform with the human touch to ensure desired outcomes.

As I reflected on the conversation on the flight back from LA to San Francisco, Theodore Levitt’s profound statement, “People don’t want to buy a quarter-inch drill; they want a quarter-inch hole,” echoed in my mind. The banker’s insights highlighted a market void. While martech entities like Netcore offer the tools (drills), the digital business landscape yearns for solutions (holes).

Enter progency: the embodiment of this sought-after solution.

The fusion of SaaS with service under a singular umbrella is an unconventional approach. Conventional wisdom dictates companies to specialise, leading them down either the SaaS or service path. This dichotomy has been lucrative for platforms, with IT giants like Accenture, TCS, and Infosys establishing robust practices around software products like SAP, Salesforce, and Adobe. The service revenue often dwarfs the product’s price. However, in the martech realm, this dynamic of a big opportunity for service dollars is conspicuously absent, despite a palpable demand for services. This sentiment has been a recurring theme in my interactions with digital leaders.

During a Vietnam trip a few months ago, the CIO of a traditional company with a large offline presence and going digital said to me, “We are paying hundreds of thousands of dollars for this marketing cloud platform. But I don’t have the talent and know-how to make the best use of it. I don’t want to buy yet another martech solution; help me make the most of the investment we have already committed to.” Similarly, a CMO from an Indian financial institution said to me, “Your ideas and what you showcased about the platform capabilities are very good. But who will do it? Can you have some of your people work in our office as an extension of my team to deliver the outcomes we want?”

Such feedback underscores the indispensable role of progency.

6

SaaS + Service Synergy – 2

In the ever-evolving digital landscape, the martech industry has witnessed a plethora of innovations, each promising to be the panacea for marketers’ challenges. However, a significant gap persists between the tools available and their effective utilisation. This need for solutions rather than just software is the opportunity for the progency.

At its core, progency challenges and transcends the traditional service model of an agency. It isn’t just another offshoot of the martech realm but is a pioneering creation created by a  martech SaaS entity (like Netcore). Imagine a product-centric company, deeply rooted in the intricacies of software development, deciding to venture beyond its comfort zone. Instead of solely focusing on product innovation, it chooses to layer its offerings with a curated suite of services. This strategic move is not just about diversification; it’s about recognising and addressing a palpable void in the market. It is about delivering full value from the product.

Historically, software companies have maintained a laser focus on their core competency: developing cutting-edge products. They’ve often shied away from the complexities of service delivery, preferring to collaborate with external partners who specialise in that domain. These partners, armed with human resources and expertise, bridge the gap between the product and its end-users. Conversely, servicing agencies, with their deep-rooted expertise in client management and solution delivery, have rarely ventured into product creation. They’ve remained content in their role as intermediaries, facilitating the interaction between software creators and consumers.

The progency disrupts this status quo. It emerges as the “third way” in martech, carving a niche that straddles the two extremes of software and services. It’s neither purely a product nor just a service; it’s a harmonious blend of both. This hybrid model offers a fresh perspective, challenging established norms and promising unparalleled value. It addresses the prevalent challenge of product feature underutilisation, a concern that often sees a mere 30-40% adoption rate across numerous martech platforms. Moreover, it provides a solution to the conundrum faced by standalone martech agencies, where the potential revenue from service offerings alone isn’t substantial enough to fuel scalable growth.

Being an offspring of a martech entity, the progency enjoys several inherent advantages. It has unfettered access to a reservoir of specialised talent. Data scientists who can decipher intricate patterns from vast data pools, campaign strategists (drawn from customer success teams) who can craft compelling narratives, and tech developers who can turn visions into tangible product extensions—all these experts converge under the progency umbrella. Such a confluence of diverse skills is rare and offers a depth of expertise that’s challenging for traditional agencies to replicate.

Furthermore, the martech lineage of progency ensures that it isn’t operating in isolation. It benefits from aggregated data sourced from a myriad of client implementations. These data points, rich in insights, become the bedrock upon which progency’s strategies are formulated. Every campaign, every solution, is data-driven, ensuring that decisions aren’t based on mere intuition but are backed by concrete evidence.

Additionally, the progency’s association with an established martech product amplifies its credibility manifold. In the eyes of prospects, it isn’t just another agency offering services; it’s a trusted entity that understands the nuances of the product inside out. This association acts as a stamp of authenticity, assuring clients of the quality and reliability of solutions offered.

In conclusion, progency is not just an innovation; it’s a revolution. By seamlessly integrating the strengths of software and services, it promises to deliver one-stop solutions that are both effective and efficient. In a market cluttered with tools and technologies, progency stands out as a beacon of hope, promising a future where martech solutions are not just acquired but are effectively harnessed to drive tangible results – profits at scale.

7

SaaS + Service Synergy – 3

I asked ChatGPT to see what additional angles could be considered for the first progency advantage. Here is the response.

  1. Customer-Centric Approach: Combining SaaS with service ensures that the product is not just technically sound but also tailored to the unique needs of each client. This customer-centric approach ensures that businesses aren’t just buying a tool, but a solution that evolves with their needs.
  2. Faster Issue Resolution: With both product and service coming from the same entity, any issues or challenges faced by clients can be addressed more swiftly. There’s no blame game between the product provider and the service agency, leading to faster problem resolution.
  3. Continuous Feedback Loop: The service team can provide real-time feedback to the product team, ensuring that the software is continuously improved and updated based on actual user experiences and needs.
  4. Training and Onboarding: One of the challenges with adopting a new SaaS product is the learning curve associated with it. By offering services alongside the product, companies can provide hands-on training and onboarding, ensuring clients get the maximum value out of their investment from day one.
  5. Cost Efficiency: Instead of clients having to invest separately in a product and then spend additional resources on hiring or training a team to use it, the combined model can often offer cost efficiencies. The integrated approach can lead to bundled pricing or performance-based pricing models that can be more economical in the long run.
  6. Holistic Strategy Development: Service teams embedded within SaaS companies have a deep understanding of the product’s capabilities. This allows them to craft strategies for clients that fully leverage the product’s potential, rather than generic strategies that might not take full advantage of the software’s features.
  7. Cultural Alignment: When both product and service come from the same entity, there’s a shared company culture and vision. This alignment can lead to smoother communication, better understanding of client needs, and a unified approach to problem-solving.
  8. Future-Proofing: As industries evolve, the needs of businesses change. A combined SaaS and service model ensures that as the software evolves to meet industry changes, the service component can immediately adapt and guide clients through these shifts, ensuring they’re always ahead of the curve.
  9. Trust and Credibility: Clients often feel more secure knowing that the team servicing them is directly associated with the product. This direct association can lead to increased trust and credibility, as clients feel they’re getting insights and services from the very experts who built the product.
  10. Customisation and Personalisation: While SaaS products aim to cater to a broad audience, every business has unique needs. The service component can help in customising and personalising the product experience for each client, ensuring they get a solution tailored to their specific requirements.

I then asked ChatGPT about real-world progency examples. Here is the response (which I have not validated).

The concept of “progency” as has been described – a product-led agency that melds SaaS offerings with a layer of agency services – is relatively novel. However, the underlying idea of combining software with services isn’t entirely new. There are several companies and models that hint at this approach, even if they don’t label themselves as “progency.” Here are some real-world examples that align with the progency concept:

  1. HubSpot: HubSpot offers a suite of inbound marketing, sales, and service software. While they primarily operate as a SaaS company, they also have a network of agency partners that provide services to help businesses make the most of the HubSpot platform. Additionally, HubSpot itself offers consulting and training services.
  2. Adobe: Adobe, known for its suite of creative software, also offers consulting services. They help businesses implement and make the most of their software solutions, especially in the realm of digital marketing with products like Adobe Experience Cloud.
  3. Salesforce: Salesforce, a leading CRM platform, has its consulting branch and a vast ecosystem of partners that offer specialised services to help businesses implement and optimise Salesforce solutions.
  4. IBM: While primarily known as a tech giant, IBM has long combined its software and hardware products with consulting services. Their approach ensures that businesses don’t just get a product but a holistic solution.
  5. Shopify Plus: Shopify’s enterprise solution, Shopify Plus, goes beyond just offering an e-commerce platform. They provide Merchant Success Programs and a range of services to help large businesses optimise their online stores.

8

Profipoly Stack Parallelism

Most companies will have an existing martech stack. For the progency model to work, its own stack will need to be integrated. I have dubbed this stack as the “profipoly stack.” This ensures that brands do not have to replace the tech they are already using. The profipoly stack’s purpose is to ensure that data and events flow to the progency enabling it to work in parallel with the brand’s marketing teams. While integrating a new system like the “profipoly stack” might seem daunting, the benefits far outweigh the initial setup efforts. Yes, there might be a need for additional tools like Javascript add-ons or SDKs, but these are mere gateways to a world of enhanced capabilities. The progency ensures that these integrations are smooth, reducing the friction that brands often face when adopting new technologies.

This approach has many benefits.

First, the progency can access real-time insights, making its operations more responsive and aligned with the brand’s ongoing marketing initiatives. The continuous exchange of data and insights between the two systems means that both parties are always on the same page and there is a single source of truth. This synergy can lead to more cohesive marketing campaigns, faster decision-making, and a unified vision for achieving business objectives.

Second, the introduction of the profipoly stack offers marketers a transformative lens, amplifying their capabilities and insights. This dual-system approach, akin to having two pairs of eyes on a challenge, ensures comprehensive insights, from macro trends to micro-level anomalies. It fosters agile campaign management, allowing for swift modifications based on real-time feedback. Enhanced segmentation precision ensures tailor-made messaging for each audience segment, maximising engagement. This collaborative synergy between systems not only drives data-informed strategies but also mitigates risks through redundancy. Furthermore, the flexibility of the profipoly stack encourages innovative experimentation, backed by the safety net of traditional martech tools.

Third, traditional martech agencies, while valuable, often find themselves restricted by the tools they use. They are, in many ways, at the mercy of third-party platforms, which can limit innovation and adaptability. The progency, with its proprietary stack and concomitant services, doesn’t face these constraints. It’s not just about having a tool; it’s about mastering it. And mastery comes from creation, understanding, and evolution, all of which are inherent in the progency model.

Fourth, the introduction of the profipoly stack doesn’t just address current challenges; it’s a step towards future-proofing a brand’s martech investments. As the digital landscape continues to evolve, having a system that can seamlessly integrate and work in tandem with existing solutions ensures that brands remain agile, adaptable, and ahead of the curve.

In conclusion, the progency’s introduction of the parallel “profipoly stack” is more than just a technological advancement; it’s a strategic masterstroke. It addresses the gaps in traditional martech, offers enhanced capabilities, and promises a brighter, more efficient future for brands and marketers alike – without imposing any additional costs.

9

Blue Ocean Customers

Give me your tired, your poor,
Your huddled masses yearning to breathe free,
The wretched refuse of your teeming shore.
Send these, the homeless, tempest-tost to me,
I lift my lamp beside the golden door!

These lines from “The New Colossus,” a sonnet written by American poet Emma Lazarus in 1883, are inscribed on a bronze plaque and mounted inside the pedestal of the Statue of Liberty. They encapsulate the spirit of the United States as a land of immigrants, a refuge for those seeking a better life, and a beacon of hope and opportunity.

The progency concept can be likened to the welcoming embrace of the “tired, poor, and huddled masses.” Just as the statue stands as a beacon for those neglected and yearning for a better life, the progency model shines its light on the often overlooked “leftovers” in the marketing world – the customers who are not engaging, not converting, and not retained.

These neglected cohorts, much like the “tempest-tost” immigrants of yesteryears, are in search of a brand that understands and values them. By focusing on these segments, progency ventures into a “blue ocean” of untapped potential, minimising overlap with a brand’s primary initiatives. Instead of competing with or replacing existing strategies, the progency complements them, offering a holistic approach that ensures no customer is left behind. Just as the Statue of Liberty symbolises hope and a fresh start, the progency model promises renewed engagement and revitalised relationships with those who were once forgotten.

Historically, the relentless chase for new customer acquisition has overshadowed the latent value embedded within the existing customer base. Marketers have weekly and monthly growth targets to meet, and in their mind, the fastest approach is to ramp up new customer acquisition and focus on the Best Customers. Every marketer understands the cost implications of acquiring a new customer versus retaining an existing one. Yet, the allure of newness often blinds them to the goldmine of opportunities that neglected segments present. (Besides, they are incentivised on growth, not profits.) There is little time, energy, or budget to focus on the “leftovers.” This is where the progency comes in.

The progency beckons marketers to venture into the “Blue Ocean” of these overlooked segments. This Blue Ocean strategy, a concept that advocates for the creation of uncontested market space rather than battling competitors in a saturated market, aligns perfectly with the progency’s focus. By targeting these neglected customers, marketers can navigate uncharted waters, free from the fierce competition that characterises the “Red Oceans” of their industry. They can do this without taking away their focus on acquisition and Best Customers. By embracing the progency model and its Blue Ocean ethos, marketers ensure that “no customer is left behind.”

10

EnCoRe Triad

Just as a health checkup provides us with critical parameters to gauge our well-being, businesses too have their vital signs. In the financial world, we monitor revenues, sales, and profits. In adtech, metrics like cost per click translate to customer acquisition costs. But in martech, there’s a glaring absence of universally accepted success metrics, especially when compensation is tied to tangible outcomes.

In a previous discussion on the Profipoly Score, I introduced a comprehensive metric system:

  • A mini-Profipoly Score based on 5 key numbers (scaled to 50 points)
  • A Frictionless Score derived from actions addressing the 5 frictions (scaled to 25 points)
  • A score for innovation adoption and actions taken (scaled to 25 points)

I had written: “The Profipoly Score is a tracker for measuring the progress in the transformational journey towards exponential forever profitable growth. It is a leading indicator for the health of the business, a metric which will indicate the capacity of a business to maximise the profits pool in an industry. The Profipoly Score needs to become as important as earnings per share and NPS in the management lexicon.”

For more immediate, day-to-day tracking in martech, I present the EnCoRe Triad:

  • Engagement: The percentage of all contacted consumers who engaged across any channel in the last three months.
  • Conversion: The percentage of all visitors who made a transaction in the past three months.
  • Retention: The percentage of customers who have made more than one transaction.

Taken together, they form the EnCoRe Triad, a health check for martech.  If a brand’s metrics stand at 20% Engagement, 15% Conversion, and 40% Retention, its EnCoRe Triad reads as (20, 15, 40).

Building on this, the EnCoRe Number is derived by multiplying these three metrics and counting the digits of the result. Using the previous example, the EnCoRe Number is 5, as 20 x 15 x 40 = 12,000, which has 5 digits. The pinnacle of this scale is 7, achieved with a perfect score of 100 x 100 x 100 = 1,000,000.

The EnCoRe Triad isn’t just a set of numbers; it’s a compass that guides marketers and progency towards sustainable growth. By breaking down customer interactions into Engagement, Conversion, and Retention, the Triad offers a clear roadmap for targeted interventions.

Engagement is the gateway to all customer interactions. To boost this metric, marketers, with the aid of progency, can employ personalised content strategies, interactive campaigns, and omnichannel outreach. By understanding the preferences and behaviours of their audience, they can tailor communications that resonate and captivate. For instance, leveraging AI-driven insights can help in segmenting the audience and delivering content that speaks directly to their interests and needs. Inbox Commerce is another approach to drive more engagement.

Conversion is the heart of revenue generation. To elevate conversion rates, it’s essential to optimise the customer journey. This involves streamlining the website or app navigation, ensuring a seamless checkout process, and perhaps most crucially, predicting next best actions. building trust. The progency can assist by integrating tools that provide real-time support, like chatbots, or by implementing trust signals such as reviews, testimonials, and security badges. A/B testing landing pages, offers, and call-to-action buttons can further refine the conversion process, ensuring that visitors are not just browsing but buying.

Retention is the key to sustainable growth. Acquiring a new customer is often more costly than retaining an existing one. To enhance retention, marketers and the progency can work together to create loyalty programs, offer exclusive deals, and solicit feedback to continuously improve the customer experience. Reactivation also becomes an important alternative to reacquisition for the “one and done” customers.

[For an in-depth discussion on how to address the frictions at each stage of the customer journey, see   ProfitXL to Profipoly: Solving the Four Funnel Frictions, Solving eCommerce’s Fifth Funnel Friction: Identifying Unknown Shoppers and Email 2.0: The Fulcrum for Fixing Five Funnel Frictions.]

In essence, the EnCoRe Triad provides a 360-degree view of the customer lifecycle. By focusing on each metric individually, while understanding their interdependence, marketers and the progency can craft strategies that not only boost these numbers but also drive long-term profitability.

The progency also has a pivotal role in benchmarking a brand’s metrics within its industry. By juxtaposing a brand’s metrics against industry medians and best-in-class standards, the progency outlines the roadmap for desired outcomes.

11

Pay for Performance

In the ever-evolving world of marketing, the progency model stands out as a beacon of innovation, particularly in its approach to compensation. At its core, the progency’s performance-based compensation model is a testament to its commitment to delivering tangible results. Unlike traditional models where payment is made either for the platform or for services rendered, regardless of the outcome, the progency model ties compensation directly to the revenue expansion achieved for brands. This approach ensures a symbiotic relationship where both parties are invested in the same goal: driving growth.

The beauty of this model is its inherent alignment with brand objectives. Every brand seeks to maximise its revenue and profitability. By tying the progency’s compensation to this key metric, brands can be assured that the progency’s strategies and actions are geared towards this singular objective. There’s no ambiguity or misalignment; the progency thrives when the brand thrives. This creates a level of trust and partnership that is rare in vendor-brand relationships.

Contrast this with the traditional martech vendor approach. While martech vendors often have customer success teams in place, their metrics for success might not always align with the brand’s true objectives. For instance, a martech vendor might measure success by the volume of push messages sent, as it directly correlates with their revenue. However, bombarding customers with excessive messages might have a negative impact for the brand, leading to decreased engagement or even unsubscribes. In such a scenario, the martech vendor’s success metric is at odds with the brand’s objective of building meaningful and lasting customer relationships.

The progency model also mirrors the adtech industry’s cost-per-click pricing, where payment is made based on tangible results, i.e., clicks. This approach has revolutionised the advertising industry, ensuring that brands get value for every penny spent. The progency model takes this a step further by not just focusing on clicks but on actual revenue generation. It’s a more unified approach that considers the entire customer journey, from awareness to purchase.

Consider this scenario: Suppose the progency successfully generates an additional million dollars in revenue from Blue Ocean customers – revenue the brand might not have captured otherwise. In such a case, the progency could propose a 20% share of this revenue. Given the value delivered, the brand should readily agree to this arrangement. This positions the progency akin to a franchisee, unlocking new revenue from previously untapped customer segments for the brand.

Furthermore, by rewarding the progency with a share of the incremental sales, brands acknowledge and incentivise the value the progency brings to the table. This is not about paying for effort but for results. It’s a recognition that the progency’s strategies and interventions are unlocking revenue streams that might have otherwise remained untapped. This approach transforms the progency from a mere vendor to a true business partner, one that is deeply invested in the brand’s success.

The “Pay for Performance” model of the progency is a game-changer. It ensures alignment of objectives, rewards tangible results, and fosters a partnership approach. In a world where marketing dollars are scrutinised for RoI, this model ensures that every dollar spent is a dollar that drives growth. It’s a win-win for both brands and the progency, setting the stage for a collaborative and fruitful relationship.

I asked ChatGPT for additional pointers on the “Pay for Performance” theme. Here is what it suggested.

  • Risk Mitigation for Brands: One of the primary advantages of the “Pay for Performance” model is that it minimises financial risk for brands. Instead of paying upfront for services with uncertain outcomes, brands only compensate the progency based on tangible results. This ensures that brands get value for their investment.
  • Transparency and Trust: “Pay for Performance” fosters a transparent relationship between the brand and the progency. Both parties have clear visibility into goals, metrics, and outcomes. This transparency builds trust, as brands can see exactly what they’re paying for.
  • Dynamic Adaptability: In a rapidly changing market landscape, strategies need to be agile. A performance-based model allows the progency to quickly adapt strategies based on real-time data and feedback, ensuring that they’re always employing the most effective tactics to achieve desired outcomes.
  • Long-Term Partnership: Traditional vendor-client relationships can sometimes be transactional. However, when both parties’ successes are intertwined, it fosters a deeper, long-term partnership. The brand and progency become collaborators in a shared journey towards growth.
  • Budget Efficiency: With a performance-based model, brands can allocate their budgets more efficiently. Instead of allocating a fixed amount for marketing efforts, they can invest more in strategies that yield results and reduce spending on less effective tactics.

12

Infinite Budgets

Central to adtech’s meteoric rise has been its adoption of the “Cost of Goods Sold” (COGS) model. On the surface, adtech spending appears to be driven by metrics like cost per click. However, in essence, these costs are intrinsically tied to tangible transactions, effectively anchoring them to COGS. This strategic alignment allows adtech to claim a substantial chunk of a brand’s budget, often in the ballpark of 15-20%.

In stark contrast, the martech industry has traditionally operated with a more conservative budgetary approach. Most martech budgets linger in the low single digits, determined by metrics such as the volume of messages sent and the count of monthly active users. This model, while efficient in its domain, inherently caps the potential growth and influence of martech. The budgets are static and predefined, often perceived as an operational expense rather than a direct revenue catalyst.

Enter the progency, with a business model that promises to redefine the financial dynamics of the martech industry. By adopting a COGS model similar to adtech, the progency model positions martech spending as a direct investment in revenue generation, rather than a mere operational cost. This shift in perspective has profound implications.

By aligning martech spending directly with revenue, brands are incentivised to invest more robustly in martech solutions. No longer bound by rigid budgets, brands can dynamically allocate resources based on anticipated return on investment. If a specific strategy or tool demonstrates potential to drive substantial revenue, brands can confidently channel investments into it. This approach not only justifies the costs but also emphasises the strategic importance of nurturing and monetising existing customer relationships, rather than solely focusing on acquiring new ones.

The silver lining here is that ample budgets already exist. Brands simply need to reallocate a portion of their AdWaste expenditure – often constituting half of their marketing budgets – a towards the progency. Considering the prevailing low benchmarks in engagement, conversion, and retention for many brands, there’s a vast potential for growth. And the best part? This can be achieved at a fraction of the cost compared to acquiring new customers through auctions.

Furthermore, by positioning martech spending as COGS, the progency model also encourages a more comprehensive approach to marketing. Instead of viewing martech as a series of isolated tools or strategies, brands can start to see it as an integrated ecosystem, where each component contributes to the overall revenue. This shift in perspective can lead to more cohesive marketing strategies that leverage the full potential of the martech landscape.

The potential benefits of the progency model extend beyond individual brands. By expanding the size of the martech industry, the progency model can drive innovation, competition, and growth across the entire sector. As more brands adopt this approach, martech providers will be incentivised to develop better tools, strategies, and solutions, leading to a virtuous cycle of growth and innovation.

In conclusion, the progency model, with its emphasis on limitless budgets and a COGS approach, represents a bold and promising vision for the future of the martech industry. By aligning financial incentives with revenue generation, it promises to unlock the full potential of martech, driving growth, innovation, and success for brands and providers alike. In a world where digital marketing is more important than ever, the progency model offers a path to a brighter, more prosperous future – a win-win-win for brands, customers, and martech vendors who embrace the progency vision.

13

Anti-Progency

I asked ChatGPT to write a critique of the Progency model.

Critique of the Progency Model

The progency model, while innovative and promising in its approach to melding product offerings with agency services, is not without its potential pitfalls. Here are some reasons why brands might be hesitant to adopt it and the potential downsides associated with the model:

Complex Integration: While the Progency model promises a seamless integration of its proprietary martech suite, the reality of integrating a new system with existing infrastructures can be daunting. Brands might face technical challenges, potential data breaches, or compatibility issues.

Dependency on a Single Entity: By relying on the progency for both product and service, brands put a lot of trust in one entity. If the progency fails to deliver on either front, it could lead to significant disruptions in the brand’s operations.

Cost Implications: The performance-based pricing model might seem attractive, but it could end up being more expensive in the long run, especially if the progency consistently drives significant results. Brands might find themselves paying more than they would in a traditional fixed-cost model.

Potential for Misaligned Objectives: While the progency model emphasises alignment with brand objectives, there’s always a risk that the progency might prioritise its own growth and profitability over the brand’s long-term goals.

Loss of Control: By outsourcing a significant portion of their marketing operations to the progency, brands might feel they’re losing control over their strategies and customer data. This could lead to concerns about data privacy and strategic direction.

Scalability Concerns: As brands grow and evolve, their needs might outpace the capabilities of the progency. There’s a risk that the progency model, while suitable for a particular stage of the brand’s growth, might not be adaptable enough for future requirements.

Market Skepticism: Given that the progency model is a departure from traditional marketing approaches, it might face pushback from stakeholders. Brands might be wary of adopting a model that hasn’t been widely tested or validated in the broader market.

Potential for Complacency: With the progency taking on a significant role in driving results, brands might become complacent, relying too heavily on the progency and failing to innovate or develop their internal capabilities.

Cultural and Communication Barriers: If the progency operates from a different region or country, there might be cultural and communication barriers that could hinder effective collaboration.

Long-Term Viability: The martech industry is rapidly evolving. What seems innovative and effective today might become obsolete tomorrow. Brands might be concerned about the long-term viability of the progency model in an ever-changing landscape.

In conclusion, while the Progency model offers a novel approach to addressing some of the challenges faced by brands in the martech space, it’s essential for brands to weigh these potential benefits against the risks and downsides. Adopting the Progency model requires a leap of faith, and brands need to be fully aware of the implications before making such a commitment.

I then asked ChatGPT to provide responses to each of these criticisms.

Complex Integration: Offer a dedicated integration team from the progency side that works closely with the brand’s IT department. Provide comprehensive documentation, training sessions, and ongoing support to ensure smooth integration. Utilise APIs and standardised integration protocols to minimise technical challenges.

Dependency on a Single Entity: Maintain transparency in operations and regular communication. Offer trial periods or pilot projects to demonstrate the progency’s reliability and effectiveness. Ensure robust service level agreements (SLAs) are in place to protect the brand’s interests.

Cost Implications: Implement a hybrid pricing model that combines fixed costs with performance-based incentives. This ensures predictable budgeting while still incentivising outstanding performance.

Potential for Misaligned Objectives: Establish clear KPIs and regular review meetings to ensure alignment. Create joint strategic planning sessions where both the brand and the progency collaborate on long-term goals.

Loss of Control: Solution: Implement a collaborative approach where the brand retains decision-making authority. Ensure that the brand has access to all data and insights, and involve them in major strategic decisions.

Scalability Concerns: Design the progency model to be modular and scalable. As the brand grows, additional modules or services can be added without overhauling the entire system.

Market Skepticism: Showcase successful case studies and testimonials from early adopters. Offer workshops, webinars, and educational content to familiarise the market with the progency model’s benefits.

Potential for Complacency: Encourage brands to maintain an internal team that collaborates with the progency. This ensures the brand remains engaged and continues to build its internal capabilities.

Cultural and Communication Barriers: Invest in cross-cultural training for the Progency team. Utilise communication tools and platforms that facilitate real-time collaboration. If possible, have local representatives or offices to bridge any cultural or time-zone gaps.

Long-Term Viability: Ensure the progency model is adaptable and agile. Regularly update the technological stack and services offered based on industry trends and feedback from brands. Foster a culture of continuous learning and innovation within the progency.

By proactively addressing these concerns, the Progency model can position itself as a reliable, effective, and forward-thinking solution for brands navigating the complexities of the martech landscape.

14

Summary – 1

The progency model can help brands emerge as profipolies. This harmonious blend of product and agency strategies offers a suite of advantages that can redefine the dynamics between brands and martech companies.

SaaS + Service Synergy: At the heart of the progency model is the unique fusion of SaaS and service. This holistic approach, where a martech entity owns and operates the progency, ensures that brands benefit from both technological prowess and strategic expertise. It’s a synergy that promises efficiency, adaptability, and a deep understanding of the brand’s needs.

Profipoly Stack Parallelism: The progency’s technological cornerstone is its proprietary “profipoly stack.” Rather than replacing existing systems, this stack is designed to coexist, working in tandem with a brand’s current infrastructure. This parallelism ensures seamless integration, data flow, and maximised operational efficiency.

Blue Ocean Customers: One of the progency’s standout features is its emphasis on the often-neglected “Blue Ocean” customer segments. By targeting these overlooked cohorts, the progency model transforms latent potential into active revenue streams. It’s a strategic pivot that ensures every customer, regardless of their engagement level, is catered to cost-effectively.

EnCoRe Triad: In the realm of metrics and measurements, the progency introduces the EnCoRe Triad – a trio of pivotal metrics encompassing Engagement, Conversion, and Retention. These metrics serve as a compass for brands, guiding strategies and ensuring efforts are channelled towards tangible growth.

Pay for Performance: Borrowing a leaf from the adtech playbook, the progency’s compensation structure is intrinsically tied to tangible outcomes. This ensures a symbiotic relationship between brands and the progency, with investments directly correlating to returns. It’s a model that ensures brands are not just purchasing promises but investing in guaranteed results.

Infinite Budgets: Challenging the traditional confines of martech spending, the progency model advocates for a “Cost of Goods Sold” perspective. This shift empowers brands with the flexibility to allocate resources based on potential returns, ensuring that every dollar spent is in pursuit of maximising revenue.

Drawing from the playbook of the IT outsourcing industry, the progency model champions adaptability, a client-first approach, and continuous innovation. While IT outsourcing entities thrived by tailoring solutions and ensuring scalability, the progency model goes a step further, embedding a profound comprehension of client needs and an uncompromising dedication to excellence. However, a stark distinction sets them apart. Unlike traditional IT service firms that predominantly remained in the service domain, the progency is birthed atop its creator’s SaaS platform.

For martech firms, adopting the progency model isn’t just a choice; it’s a pivotal strategic move. This approach provides a unique competitive advantage, paving the way for growth and steering them towards their own profipolies. It also offers an escape from the saturated red ocean, reducing the reliance on switching brands based on lowering prices.

In conclusion, the progency model represents the next evolutionary step in martech, perfectly aligned with the profipoly blueprint. Just as profipoly can herald the fourth wave and ultimate horizon of marketing, the progency embodies the essence of Martech 2.0, encapsulating the vision of exponential forever profitable growth.

15

Summary – 2

I decided to take an alternate view from Claude. I asked it for 100-, 200-, and 4000-word summaries.

100-word summary

The progency model fuses martech products and services to help brands maximise profitability. Key differentiators are martech company ownership, a proprietary tech stack, focusing on neglected customers, performance-based pricing, and limitless budgets. This SaaS-service synergy, using new metrics and targeting overlooked segments, is uniquely positioned to address brands’ profitability challenges. Progency emerges as an indispensable catalyst for the profipoly vision of maximising lifetime value.

200-word summary

The progency model represents an innovative new approach in martech, integrating SaaS products with specialised services. Created by martech companies, progencies leverage proprietary tech stacks and performance pricing to deliver outcomes for brands.

Six key differentiators make progencies transformative:

First, as offshoots of martech firms, progencies enjoy privileged access to specialised talent and aggregated user data to refine strategies. Their credibility is also boosted by association with an established martech product.

Second, progencies introduce parallel proprietary stacks called “profipoly stacks”. By seamlessly integrating with existing martech solutions, these provide enhanced capabilities without imposing additional costs.

Third, progencies focus on neglected “Blue Ocean” customers, complementing rather than competing with brands’ existing initiatives focused on new acquisition and top customers.

Fourth, new metrics like the “EnCoRe Triad” offer clear visibility into progencies’ impact on engagement, conversion and retention.

Fifth, by tying compensation to incremental revenue, progencies align incentives around a shared objective of profitability.

Finally, mirroring adtech’s approach, progencies have boundless budgets, incentivising continuous innovation.

Together, this SaaS-service fusion, powered by new metrics and a focus on overlooked segments, positions progencies as indispensable profitability catalysts. They fill the execution gap between martech tools and profits realisation. For brands pursuing the profipoly vision of maximising lifetime value, progencies are the missing link.

400-word summary

The progency model represents a pivotal innovation in the martech ecosystem, integrating the strengths of SaaS products and specialised agency services into a unified offering. Created by martech companies, progencies differentiate themselves through six key attributes:

Firstly, being offspring of martech firms, progencies enjoy privileged access to specialised talent like data scientists, campaign strategists, and tech developers. This depth of expertise is challenging for traditional agencies to replicate. Moreover, as internal divisions, progencies benefit from aggregated insights across client implementations to refine strategies. Their direct association with an established martech product also bestows greater credibility.

Secondly, progencies introduce their own proprietary martech suites called “profipoly stacks.” While necessitating additional integrations, these stacks ensure progencies retain full control over the technology. Traditional martech agencies rely on preinstalled third-party stacks, restricting innovation. Progencies’ autonomy over tech stacks facilitates rapid deployment of new capabilities to drive outcomes.

Thirdly, progencies carve a niche by focusing on neglected “Blue Ocean” customers – those not engaging, converting or being retained. This complementary positioning minimises competition with brands’ existing initiatives focused on new acquisition and top customers. Progencies fill the gap, revitalising relationships with overlooked segments.

Fourthly, progencies champion new metrics like the “EnCoRe Triad” – Engagement, Conversion, Retention percentages. This offers transparent tracking of progencies’ impact on outcomes linked to profitability. The metrics provide a roadmap for interventions to boost numbers and also facilitate objective revenue sharing agreements between brands and progencies.

Fifthly, progencies’ performance-based compensation, a percentage of incremental revenue, creates perfect alignment with brands’ profitability goals. By contributing to otherwise untapped revenue streams, progencies transform from vendors to genuine partners invested in mutual success. This pay-for-performance model mirrors adtech’s cost-per-click approach.

Finally, by adopting adtech’s “Cost of Goods Sold” perspective, progencies can justify limitless budgets for brands. This empowers brands to dynamically allocate spends based on potential ROI rather than arbitrary caps. Progencies have the upside of expanded earnings for overperformance, incentivising continuous innovation.

Together, this strategic fusion of specialised SaaS offerings and targeted services positions progencies as indispensable profitability catalysts. Blending new metrics, engagement models and pricing structures, progencies fill the chasm between martech tools and true profits realisation. For brands pursuing the profipoly vision of maximising customer lifetime value, progencies are the missing link to exponential forever profitable growth.

Thinks 1086

Vivek Wadhwa: “With exponential advances in technologies such as Artificial Intelligence (AI), computing, sensors, and synthetic biology, not only have costs dropped, but cutting-edge innovation has now been globalised. Today, there are many better places to build world-changing technologies than Silicon Valley. One of these places is India, where you can hire top-notch talent for less than 10% of what it costs in the Valley, and pathology data needed to train machine-learning algorithms is available in abundance. While San Francisco is the global centre of AI development due to positive network effects, technology leaders such as Sam Altman say that India cannot build complex AI technologies. However, what I have seen in India leads me to believe that Silicon Valley’s advantage will not last long and that its insularity, arrogance, and overconfidence may be its downfall. As AOL founder Steve Case has long been arguing, the rest of the world is rising.”

Economist: “There are signs that the so-called “founder premium” may be waning in a world in which capital is no longer cheap and investors prefer jam today to jam tomorrow. The Economist has analysed the performance of the publicly listed software firms in the Nasdaq Emerging Cloud index produced by Bessemer Venture Partners, a VC outfit. From 2018 until the end of 2021, the share prices of founder-led firms in the index outperformed the rest by a half. Beginning in 2022, however, that gap disappeared. To understand why, consider that founder-bosses in the index invest more money in research and development, expand their teams faster, deliver higher revenue growth—but generate less cash. During the tech boom of the past decade, a founder’s success depended chiefly on their ability to set a bold vision, raise funding from venture capitalists, gobble up talent and get a head start on possible rivals. Investors now demand greater attention to costs and a speedier path to profits. What are founders to do? One option is to temper their lofty ambitions and reinvent themselves as fastidious stewards of capital.”

The Generalist: “Danny [Rimer] believes the best founders attack their mission with a sense of destiny, operating as if they were put on earth to pursue their specific dream. Examples include Figma’s Dylan Field, Discord’s Jason Citron, and Glossier’s Emily Weiss. All impressed Danny with their drive – and have gone on to disrupt their respective industries. In evaluating a startup, investors often assess the company’s “total available market” (TAM). This is reasonable enough: how can you assess a startup’s potential if you don’t know the size of its opportunity? Danny argues that focusing on TAM is a distraction that discourages VCs from backing truly disruptive companies – many of which may not have a clear market yet. Etsy, for example, appeared to have a small market, but Index Ventures backed the firm anyway. Today, the e-commerce giant is valued at nearly $8 billion.”

Pratik Bhadra (my Netcore colleague) on Inbox Commerce: “Once the undisputed digital marketing workhorse, over the past decade email marketing has faced a period of stagnant innovation. While email often drives as much as 30% of overall e-commerce revenue, it’s been relegated to being a cash cow with little to no marketing innovation focus. A transformative shift is now on the horizon, poised to revolutionize email marketing. Its potential impact can be likened to the game-changing introduction of the Multipurpose Internet Mail Extension (MIME) in 1992, which allowed multimedia files to be embedded within emails. Inbox commerce, powered by Google’s AMP (Accelerated Mobile Pages) for Email, radically enhances the email experience for shoppers and retailers. Inbox commerce enables brands to build interactive experiences that foster two-way communication with consumers while removing the need for redirects and landing pages, reducing friction for the shopper and shortening the email conversion funnel.”

Molly Graham: “Work whiplash — where your momentum was going at a great pace and in a clear direction and then you either slammed in to a wall or got quickly jerked in a new direction — is one of the worst feelings as an employee, in my opinion. It is demotivating and demoralizing. And it happens all the time in companies that are going through rapid change. The context around the person is changing so fast that it takes a lot of proactive management to help folks stay connected and ensure that everyone is swimming in the same direction. As a manager or leader, helping people not be lost — not waste time and energy — is one of the most important things to spend time on. It ultimately means revisiting, regularly, the basics of management. Do the people that work for you know what their role is? Do they know what’s expected of them in that role? Do they know how they fit in to the larger context? Do they know how to move work forward?”

Netcore Progency: A Profipoly Catalyst (Part 9)

Endgame

We now come to our final question. Could the inception of “Netcore Progency” pave the way for Netcore’s own pathway to becoming a profipoly? For me, this is the most exciting of the four questions. Done right, the progency can help Netcore create not just a new profits engine but also a profipoly. Let’s see how. But before I begin, a small side story.

In late 1996, two big changes happened to IndiaWorld. We had to change our domain and the $20 annual subscription fee for content had to be dropped. Traffic and revenues dropped. It was one of the toughest periods I have faced as an entrepreneur. I had to not only create a new address but also a new business model. As it happens in life, only when you let go of something can you catch something else. In this case, the decisions were forced on me. So, I had no choice. A year later, I would reflect that these were the best things to have happened to me because it forced changes which I wasn’t even thinking about. The new addresses – Samachar, Khoj, Khel, Bawarchi – created far greater stickiness in people’s minds than IndiaWorld had. The new business model of ads brought in predictability and infinite scale. The troublesome period ended with me making decisions which had a 10-100X multiplier compact on IndiaWorld’s value. Not only did they change the course of the company, but also my life.

The progency can do something similar for Netcore. Today, we, like everyone, play the small game of consumables and traffic. We don’t link our revenues with business outcomes for our customers. In the small game of tens and hundreds of millions of dollars, we are not seeing the elephant in the room – tens and hundreds of billions of dollars being spent annually in AdWaste. But to open the second door, we may need to close the first door. And the ones who can open the second door can get an advantage which will be hard for others to match. This is the question we at Netcore have to address.

The progency can drive a flywheel of innovations because of its proximity to end customers and their daily lives. The learnings on what works and what doesn’t will not be channelised through marketing teams anymore. More data will help generate sharper insights for even better outcomes. The progency has as much skin in the game as the brand – in fact more, because the progency is making upfront investments and is paid only when revenues grow. The progency introduces a discontinuity in the martech market – a new model very different from the old. It is what Google did when it shifted the industry from the impression-based pricing (CPM) to action-based pricing (CPC).

Netcore would need to build on two fronts: the tech stack to stay ahead of the game, and the people factory, to ensure there are specialists who can combine the product and AI insights with their own judgement to deliver the right outcomes for brands. It would be an exciting future – a blue ocean in the red ocean. This is an opportunity to transform not just Netcore’s future, but also change the course for tens of thousands of brands who have forced themselves into captivity with their senseless AdWaste spending.

So, will Netcore Progency see the light of day? Can it scale rapidly to tens and hundreds of millions of dollars? Watch this space!