The Dormant Goldmine (Part 5)

V

The New Bargain

8   Operating, not owning

The brand keeps the customer. The operator earns the right to rebuild the attention.

The commercial relationship needs a name that does not alarm a legal team. “Renting the database” is vivid and wrong. It implies that the operator receives the brand’s customers as a third party, to use for its own purposes. A better term is Audience Operating Rights: a contract under which the operator runs the dormant audience for the brand, as the brand’s processor, under defined permissions.

The terms follow from that. The brand remains the data controller and the owner of the relationship. It keeps control of consent, suppression and the right to stop sending at any time. Emails go out under the brand’s name, from isolated sending infrastructure that protects the reputation of its main domain, with volume caps and an automatic pause if complaints rise. The brand approves the advertising categories and can exclude competitors and anything it considers unsuitable.

The operator, in turn, funds the work: the sending, the editorial production, the Magnets and cards, the technology and the operations. Because it invests before it earns, it needs a defined operating term, long enough to recover the cost of rebuilding attention. Twelve months, renewable, is a reasonable starting point, with a fair settlement if the brand ends the arrangement early.

Two lines must not be crossed. Permission to receive a brand’s email is not permission for the operator to profile that customer across brands, or to market its own products to them. And the operator acquires no lasting claim on the brand’s customers. Anything that extends beyond the brand, such as a reader’s choice to carry their cards into a wider album shared with other brands, has to be the reader’s own explicit and separate decision. And no commercial term overrides the reader: an unsubscribe or a withdrawal of consent ends the relationship, whatever the contract says. The bargain works only if the brand never has reason to wonder whose customer it is.

9   Two meters

The brand pays nothing to get its customers back, and pays only when they buy more than the control group did.

The economics of the bargain run on two meters. They are best kept as separate entitlements, so that the front door stays simple.

The first is the attention meter. Recovery is free. Sending is ZeroCPM: the brand pays nothing per email. Once readers have graduated to the Standard Digest, each edition can carry one clearly labelled ActionAd: a partner action completed inside the email, such as a sign-up, a quote, a sample or a booking. Net ActionAd revenue, meaning gross advertiser payments less third-party fees and refunds, is split 50:50 between the brand and the operator. The operator pays its costs from its own half, so the brand’s half needs no reconciliation of anyone’s internal costs.

The second is the transaction meter, contracted separately and optional. When restored attention leads to purchases, the holdout shows how many of them are incremental. The operator can then be paid a share of the lift above the control group, never of the baseline, on an agreed economic basis such as contribution profit. In NeoMarketing’s terms, the baseline is Beta, the verified improvement is Alpha, and the operator’s agreed share of it is Carry. No lift, no bill. This is the model I described in No Lift, No Bill: How Progency Works.

Figure 4. One customer journey, two commercial meters.

The order matters in the sales conversation. A brand’s first reason to agree is recovered customers at no charge. The advertising share is a second benefit and an alignment mechanism: the operator earns only when the attention it restores is valuable to someone. The transaction meter can follow once the holdout has produced evidence.

The two meters also keep apart two claims that are easy to blur. Recovered attention is one claim: a reader who was silent now acts. Avoided reacquisition is another: the brand did not have to buy that customer back through paid media. The holdout proves the first as soon as readers graduate. The second is proven only when recovered customers go on to buy through the brand’s own channels at a higher rate than the control group, and the brand’s REACQ%, the share of its customers re-bought from paid channels, falls. A customer who answers a Magnet has not yet saved the brand anything. The operator should claim the first when it happens, and the second only when the evidence arrives.

Together, the two meters restate the Three NEVERs in commercial form. A dormant customer whose attention is restored is a customer the brand did not lose: Never Lose Customers. A customer who goes on to buy through the brand’s own channel, rather than through an ad, is one the brand did not pay Google or Meta to buy back: Never Pay Twice. The arrangement does not end paid acquisition; it changes the order in which a brand spends. And a brand that pays nothing to send, and pays for transactions only on proven lift, has no fixed fee anywhere in the arrangement: Never Pay Fixed.

Thinks 2132

David Deming: “I believe that in this new third era of undergraduate education, we should lean into our strengths and become radically more communal, enabling other forms of learning in which technology is of little use. Many of the most important skills and habits of mind are best learned in community with other people. The ability to explain a concept so that other people can understand it, to inhabit the mind of another person so you can understand their motivations and work alongside them, to persuade others of your point of view, to negotiate over resources and navigate conflict, to lead and be led, to give and receive criticism and to earn another person’s trust— these skills are central to a college education.” [via Arnold Kling]

WSJ: “Most entrepreneurs dream big. [Alan] Dorfman does the opposite. He spends every waking hour trying to shrink things to their smallest possible size without losing their functionality. He has churned out miniature versions of thousands of products including the Rubik’s Cube, the Operation board game and Hungry Hungry Hippos. In a world of endless entertainment options, somehow there’s growing demand for impossibly tiny toys. Dorfman says Americans’ enduring appetite for novelty has gotten stronger recently as people seek out the low-tech thrills of earlier eras.”

Joe Cruz: “What if we are mistaken in treating writing as the highest cultivation of thought? The evidence that supports this belief is thin at best…I believe colleges can permit the use of A.I. writing tools without undermining the next generation of thinkers. But to get there, we need to embrace a different image of a university education — one in which ideas are expressed in real time and analytical thought unfolds as a debate or an oral defense or a group discussion. It will take courage to demand that students demonstrate active, participatory mastery of ideas. And it will take courage on their part to abandon the safe recursion of revision and narrative refinement. To be sure, there will be challenges of scale, and not every kind of institution will be able to adapt. The benefits, however, may be enormous.”

Mike Cannon-Brookes: “If a frontier model is capable of coming and running the entire business for you, if it’s truly running the whole thing, even assuming four or five years worth of increase, you have a relatively simple business. Most businesses aren’t simple. They are global conglomerations of rules, compliance, laws, staff in different places, human inconsistency — which is the same as saying human creativity — that they’re putting it all together to try to deliver products and services for their customers in their industry: healthcare, university, finance, automotive, or whatever the industry is. They’re trying to compete with some other business. They are still going to have a huge number of humans, I would argue more knowledge workers, more developers, in five to 10 years time than today because the ability to do tasks to compete will go up.”

The Dormant Goldmine (Part 4)

IV

The Attention Factory

6   What the factory makes

The factory’s product is not email. It is the reason to open the next one.

The factory produces four things, and none of them is a promotion.

The first is a publication. The Brand Digest is a short edition from the customer’s world, sent under the brand’s name: a few things worth reading, one thing worth doing and something worth keeping. A travel brand curates places. A jobs platform explains salaries and skills. A grocer explores food. The brand is the editor, not the protagonist. The Digest is useful on a day the reader buys nothing, which is most days.

The second is the Magnet: a thirty-to-sixty-second interaction that leaves the reader better off. A quiz on salary bands in their city. A prediction about a match. A puzzle, a benchmark, or a choice between two places to visit. The Magnet turns reading into participation, and participation into a signal that a real person is present.

The third is the object. A Magnet that leaves nothing behind is a moment, and moments do not form habits. A NeoCard gives the edition something to keep. It arrives by email with a permanent front and a back that can change. It may come with a Magnet, ask for a prediction before it is revealed, or carry a new challenge after it has been collected. Cards form sets, sets fill an album, and yesterday’s collection gives today’s edition another reason to matter. I described this in NeoCards: Objects Worth Keeping.

The fourth is the ledger. Mu, the attention currency, rewards completed actions under clear rules, and the ledger records what each reader has earned. The number in the subject line, the reader’s own balance, is a small promise that this email remembers the last one.

Each of these is expensive to build once and cheap to reuse. A quiz engine, a card system, a Mu ledger and an editorial workflow do not need to be rebuilt for each brand. What changes is the content: the places, the questions, the card designs and the category knowledge. Even content has a shared structure. A career Digest for one jobs platform and a money Digest for one consumer-finance brand draw on the same production line, staffed by editors working with AI and organised by vertical rather than by client.

This is where the portfolio does its work. A single brand would pay the full cost of the studio for one Digest. A hundred brands each pay a hundredth.

7   The way back

An open is a rumour. An action is evidence.

A factory that produces good editions still needs a careful way to introduce them to dormant customers. Sending a dormant list a daily Digest would be the fastest way to damage the domain the brand depends on. So the way back has two programmes, not one.

The first is Recover: a short, time-boxed sequence of lighter editions, called Minis, sent only to addresses that pass eligibility checks. They must be validated, unsuppressed and inside consent. Each Mini carries one strong reason to engage: a new card to collect, one question worth answering, or, where the brand has issued Mu before, a balance the reader had forgotten. The sequence ends with a hard exit rule. Readers who take no action by the end are suppressed. A dormant customer never receives open-ended Digest cadence. I set out the reasoning for this rule in 10+1 Email Innovations.

The way back then has three stages, in a fixed order. Recover finds the people who respond. An open inside Recover is logged as attention detected, but it changes nothing, because machines can generate opens. Graduation requires a verified human action: a Magnet answered, a card collected through a real interaction, a purposeful click or a stated preference. Graduation does two things. It returns the reader to the brand’s own marketing programme, at no charge. And it unlocks the Standard Digest, at a cadence the reader chooses. Habit is what the Standard Digest is then meant to produce: repeated, voluntary engagement, measured by Habit Rate, the share of readers who open at least 60% of the editions they chose over four weeks. Because opens are noisy, Habit Rate counts estimated human opens, with machine opens filtered out, and is checked against clicks, interactions and repeated returns.

The order matters. Reactivation qualifies a reader for the Digest. Habit is the Digest’s result, not its entry ticket.

Figure 3. Recover, Graduate, Habit. An open is never enough to graduate, and habit is earned inside the Digest.

Every Recover programme runs with a randomised holdout from the first day: a slice of the eligible dormant cohort that receives nothing. The holdout answers the question every brand should ask: how many of these customers would have come back anyway? Reactivation is counted as the difference between the two groups, never as the raw number in the treated group. Dormant cohorts allow a cleaner test than almost anything else in marketing, because the control group is drawn from the same people at the same time and left alone.

Recover is the bridge. It is deliberately narrow, short and suspicious of easy signals. Its job is to find the part of the dormant half that can still become an audience. The Digest’s job is to keep it. I described why customer retention begins with attention retention in Before the Slide.

Thinks 2131

Akash Prakash: “Space is one of the few technology-intensive sectors where India is relevant. This is because of the confluence of long-term government support to develop indigenous capabilities, combined with very progressive policy support to private players and a maturing domestic funding environment. We should take the lessons from our success in space and apply them to other industries where we need to develop capabilities. We can apply the same playbook.”

NYTimes: “Start by identifying what you want to resist, she said. It could be an expensive shopping habit, a weakness for viral products or scrolling through ad-saturated social media at all hours. Then, Dr. Milkman said, create rules that will make it harder to buy the new things when you feel the urge. Researchers call these rules commitment devices. You could remove your saved credit-card information from your favorite retail platform. You could cancel a subscription service that automatically sends you products every month. You could delete shopping apps from your phone.”

NYTimes: The 100 Best TV Shows of the 21st Century.

Adam Grant: “Pre-AI, what was rewarded and valued and promoted was how much information you had in your head; we’re now in an environment where information is a commodity. So the differentiating skill set or capability is: Can you recognize patterns? Can you synthesize lots of disparate pieces of information? Can you figure out what perspectives are credible and which ones aren’t? All of that is a long way of saying that human judgment is going to supersede human expertise.”

FT: “India has its own version of the “China shock”. Instead of exporting high volumes of competitive manufacturing goods across the globe, the world’s most populous nation sends millions of workers abroad. India churns out roughly 5mn graduates each year and around 1mn people enter its workforce every month. But just as the Chinese economy lacks the demand to absorb more of its industrial production at home, India’s cannot produce enough suitable jobs to employ its expanding labour supply. Youth underemployment is rife, despite the country’s rapid growth rate. As a result, many Indians, often well-educated and English-speaking, move abroad to pursue careers. The country is the world’s largest source of international migrants, with an estimated 18.5mn living abroad in 2024. The Anglosphere and United Arab Emirates are common destinations.”

The Dormant Goldmine (Part 3)

III

What Bending Spoons Teaches

4   The shared platform

Don’t buy the database. Build the factory that makes operating the next one cheaper than the last.

Bending Spoons began in 2013 as a small mobile-app developer and became something else: a company that acquires established digital products and runs them on its own operating machine. It has made more than fifty acquisitions. Its main businesses include Evernote, WeTransfer, Vimeo, Eventbrite and AOL. In September 2026, two months after listing on Nasdaq, it completed its $1.285 billion purchase of Airtable, and within days agreed to buy Miro for $1.355 billion. Many of these products were famous, widely used and under-run. Their users had not left. Their economics had stalled.

The easy reading of Bending Spoons is that it buys bargains. That misses the point. The company describes itself as built on operational excellence: it acquires digital businesses, transforms them, reinvests the earnings and repeats. It keeps what it buys, and says it has never sold a material business. The transformation is the business. Acquired products move onto a common technology platform, common processes and a common way of deciding on pricing, product and cost. Each new product benefits from everything the previous ones taught. The machine is the asset; the products are what it operates.

That is the lesson worth taking. A product that is uneconomic for its own management to run well can become profitable inside a machine that runs many such products. The fixed costs of excellence, such as engineering, analytics, pricing expertise and experimentation, are spread across the portfolio. The marginal cost of operating one more product falls with each one added.

Now apply that logic to the dormant half of a brand’s database. One brand cannot justify an editorial team, a games studio, a deliverability practice and an advertising sales operation for customers who are not buying. An operator serving a hundred brands can. What is uneconomic for one brand to operate can become profitable when a shared platform operates it for a hundred. The editorial templates built for one travel brand serve the next. The advertiser who buys an action in one career Digest can buy it across five. The deliverability playbook refined on the first dormant list makes the fiftieth safer.

Applied to attention, the Bending Spoons model is not about buying databases. It is about building the factory that makes each additional database cheaper and quicker to operate than the one before.

Figure 2. The portfolio is operated through one shared machine. The machine is what improves.

5   Where the analogy breaks

The operator runs the asset. It never owns it.

Analogies are useful until they are taken literally, and this one breaks in three places.

First, customers’ consent cannot be bought. Bending Spoons acquires companies outright, along with the user relationships those products hold. No operator can acquire a brand’s customers that way, and none should try. Permission to receive email from a brand is permission given to that brand. The operator’s role is to run the dormant audience on the brand’s behalf, under the brand’s name, inside the brand’s consent, and under data-protection law that holds the brand accountable for what happens. In India, the Digital Personal Data Protection Act frames exactly this relationship.

Second, the brand stays in the room. A Bending Spoons acquisition ends the previous owner’s involvement. Here the brand remains the owner of the customer relationship, the data and the right to stop. It approves the content categories, the advertisers and the limits on cadence. The operator earns the right to rebuild attention. It does not earn the customer.

Third, the analogy carries a warning. Bending Spoons’ acquisitions have often been followed by deep workforce cuts and higher subscription prices, and the company has critics among users of the products it bought. The inbox equivalent of that error is over-monetisation: treating restored attention as inventory to harvest rather than a relationship to keep. An operator that fills a dormant customer’s Digest with advertising will lose that customer a second time, and this time for good. The discipline has to be built into the product: at most one clearly labelled partner action per edition, category exclusions that the brand controls, and a hard stop when complaint rates rise.

With those corrections, the analogy holds where it matters. A portfolio of dormant audiences is operated through one shared machine, and the machine is what improves. Every additional brand should be cheaper to onboard than the last one in its category. If it is not, there is no factory, only a services business with a clever name.

Thinks 2130

SaaStr: “In most B2B categories, you can and probably should try to do even better than this.  You should try to kill your top competitor.  Dead.  Because it pays.”

Pamela Meyer: “Often, I ask executives to walk into a meeting and avoid speaking for ten minutes. For example, if they typically have a half-hour meeting, during which they speak for most of it, instead they would enter and not talk. Instead of speaking, executives would observe people’s facial expressions and bodies, listen more carefully to how they tell stories, and note their interruption patterns. Regulating themselves not to invade the meeting with their own ideas is a muscle people don’t usually flex. When they do this, the room starts to light up. Suddenly, they see something completely differently.”

NYTimes: “Cognitive shuffling is a mental exercise that involves focusing your mind on words that have no association with one another, as a way of signaling to your brain that it’s time to fall asleep. The task is meant to be engaging enough to distract you from the thoughts that may be impeding sleep, but not so interesting that your brain perks up. You start by taking a random word — “Pluto,” for example. Then think of as many words as you can that begin with the same first letter, like so: “Plane, poodle, play, peaches.” When you run out of “P” words, you can move on to the next letter of your original word, which is “L,” and do the same thing: “Love, light, lemur, linger.” Take a second or so to visualize each word. Research suggests that when people naturally drift off, their minds are often peppered with vivid images or distant thoughts, said Luc P. Beaudoin.”

Nitin Nohria on what CEOs learnt tracking their time: “Two things were almost always surprising to C.E.O.s. One was, “I didn’t realize I spent more time with consultants and bankers than I spent with my customers.” And the other one was they spent less time with frontline employees than they imagined.”

The Dormant Goldmine (Part 2)

II

Why Brands Abandon the Dormant Half

3   The cost is not the send

The dormant half is not abandoned because it is worthless, but because it is expensive to operate alone.

The obvious explanation for why brands neglect dormant customers is that emailing them costs money. It is the wrong explanation. On modern infrastructure, the marginal cost of sending an email is a small fraction of a cent. A brand could email its entire dormant half every week for less than it spends on a single day of paid search.

The real cost is producing something worth opening. A dormant customer has already ignored months of the brand’s promotions. Another discount, another new arrival, another “we miss you” will not change that. What might change it is something the customer values for its own sake: a useful piece of content, a small game, a question worth answering, an object worth keeping. Producing that every week, for an audience that is not currently buying, needs an editorial team, a games studio and a content operation. No CRM team has these, and no CMO can justify building them for customers who generate no revenue.

The second cost is risk. Sending to unresponsive addresses is the fastest way to damage a sender’s reputation with the large mailbox providers, and that reputation is shared with the active programme that pays the bills. A brand that mails its dormant half carelessly can find its promotional email landing in spam for everyone. Mailbox providers have tightened their rules for bulk senders, and the complaint thresholds they tolerate are low. From the CRM team’s seat, the dormant half is not an opportunity. It is a threat to the part of the database that works.

So the rational decision for any single brand is to leave the dormant half alone and pay to reacquire whoever comes back. It is rational for the brand. It is wasteful for the system.

A dormant audience needs a publisher, not another campaign. Look closer and the problem breaks into four obstacles, each of which a single brand struggles to clear.

The first is content. The dormant customer needs a reason to open that has nothing to do with selling. That is a publishing problem: a recurring edition with something worth reading, something worth doing and something worth keeping. I described this format in The Brand Digest: Email’s Missing Publication. Brands are not publishers, and their CRM teams are measured on campaigns, not editions.

The second is the sending domain. Any serious attempt to reach dormant customers needs isolated sending, careful volume ramps, validation before every send, suppression of addresses that should not be contacted, and an automatic stop tied to complaint rates. These are specialist disciplines. Getting them wrong once can cost a brand months of deliverability.

The third is monetisation. Even when a brand restores attention, it has no way to earn from it between purchases. Commerce media networks have shown that verified attention close to intent is valuable to advertisers, but building an advertising sales operation to monetise a few hundred thousand re-engaged readers makes no sense for one brand. The attention would be restored, and then left idle again.

The fourth is measurement. The industry’s default signal of attention, the open, has become unreliable. Privacy features in some mail clients pre-load images, and security scanners open emails that no person has seen. A brand that counts opens as reactivation will move machine-opened addresses back into its promotional programme and damage the reputation it set out to protect. Real reactivation needs a verified human action, and a holdout group to show whether that action would have happened anyway.

Each obstacle carries a fixed cost: an editorial operation, a deliverability practice, an advertising sales team, a measurement system. Each can be justified on its own. Together, for one brand’s dormant customers, they fail the budget meeting. Shared across a hundred brands, each becomes small. That is the opening the rest of this essay is about.

Thinks 2129

Jensen Huang: “Two hundred years ago, we were able to power anything and everything with electricity. And then 40 years ago, 30 years ago, with the internet, we were able to find anything. Today, or soon, we’ll be able to know everything and do anything. That’s the concept that’s really quite exciting. That out of the ether, instead of doing a search and then going through one link after another link and reading all these different websites trying to figure out what’s going on, in the future, you just ask it a question, and it comes back with an answer. You give it a project, it comes back with a solution. You give it a task, it comes back and gets it done. It comes out of the ether, it comes out of the cloud, and that’s the magical thing.”

NYTimes: “For decades, mathematicians, scientists and engineers had been wrestling with a basic fact about the real world: Its signals and images are full of structure. They’re not random jumbles of numbers; they’re intricately patterned. A photograph of a landscape, a piece of music, the sound of a voice — each harbors mathematical regularities that allow it to be summarized economically. The trick is to find the right building blocks. Expressed in those terms, a natural data set that seems to require millions of numbers can sometimes boil down to just a handful of ingredients. As people learned to exploit this feature of natural images and signals — a feature known as “sparsity” — the mathematics around it kept mutating and migrating. Fourier analysis showed how complicated signals and images could be built from simple waves. Wavelets gave a new way to pick out the most important building blocks. Work in statistics and optimization showed how to identify the most informative components among a host of possibilities.”

Debashis Basu: ” India needs to identify the factories and technologies it wants to attract. It needs to forecast the occupations they will require, define the competencies, redesign the curricula, and train the workers. It has to put them into factories through apprenticeships, measure employment, wages and productivity; and then change the curriculum again. China, South Korea, Taiwan, and Vietnam have all built versions of that loop. Until India does that, billions will be wasted in the name of “skill development” and India’s manufacturing dream will remain just that – a dream.” 

Rajesh Shukla: “India’s private consumption expanded by 7.1% in real terms in the first quarter of 2026–27. That is encouraging news for an economy whose prospects depend substantially on domestic demand. But a growth rate is not a market strategy. It tells businesses that expenditure is expanding, not which consumers sustain which markets, what they can afford or how much financial leeway remains after meeting their expenses…PRICE’s estimates for 2025–26 illustrate this clearly. Dividing the population into ten equal groups ranked by per capita household income, the top 10% account for about 30.2% of income, 24.2% of consumption and 48% of saving. The bottom half account for 23.8% of income and 29.5% of consumption, but only about 6.7% of saving.”

The Dormant Goldmine (Part 1)

How brands can turn forgotten customer databases into living, profitable audiences, without paying to send another email.

Every brand owns a database it has stopped operating. This essay is about who should operate it, on what terms, and why only a portfolio can make it pay.

The argument in one line. A dormant database is not a dead asset; it is an unoperated one. What is uneconomic for one brand to operate can become profitable when a shared platform operates it for a hundred brands: recovering customers at no charge to the brand, earning media revenue from the attention it restores, and taking a share of transaction uplift only where it can prove it.

I

The Graveyard in Every Database

1   The silent majority

The brand paid to build the database, and then stopped operating it.

Every large consumer brand owns a graveyard. It sits inside the customer database: millions of email addresses collected over years of advertising, registrations, purchases and loyalty sign-ups. Each one cost money to acquire. Each one belonged to someone who, at some point, had a reason to engage. Then, gradually and without any single moment anyone could point to, the relationship went quiet.

Marketing calls these customers dormant. The term is polite. It means the brand has stopped expecting anything from them. They have not unsubscribed. Their addresses have not bounced. They simply stopped opening, and the brand responded by sending them less, then nothing, then forgetting they were there. In a mature database it is rarely a fringe, and it is often a large share of the list.

The accounting is strange. Finance rarely gives dormant customer attention any separately measurable value, because it produces no revenue anyone can point to. Deliverability teams treat it as a hazard, because sending to unresponsive addresses damages the sender reputation that the active programme depends on. And the acquisition team, under pressure to grow, goes back to Google and Meta to find customers. Some of the people it pays to reach are already in the database. The brand is buying back, at auction prices, attention it once owned and let lapse. That is the reacquisition tax: the share of marketing spend that goes to winning back customers the brand already had.

So the dormant half sits in an odd position. It is too risky to email, too valuable to delete and too quiet to count. Nobody owns it. The CRM team’s targets are built on the responsive base. The acquisition team’s targets are built on new customers, and a dormant customer it reacquires looks, on its dashboard, like a new one. The dormant half falls between two budgets and belongs to neither.

This essay argues that the problem is not the asset. It is the economics of operating that asset one brand at a time. It takes its frame from an unlikely place: a Milan-based software company that has built a business valued at about $18 billion at its July 2026 listing, and above $33 billion after Berkshire Hathaway added to its stake this month, by taking over products that other people had stopped running well.

2   A database is not an audience

A dormant list is not an audience. It is the raw material for one.

Start with a distinction that most marketing dashboards blur. A database is a list of addresses the brand is permitted to email. An audience is the set of people who will pay attention when it does. The first is an accounting asset. The second is an attention asset. Real Reach measures the gap between them: the number of customers who have engaged in the last ninety days, set against the size of the list.

Consider an illustrative brand with ten million addresses. Two million read its email with some regularity. Three million are fading: they still open occasionally, but less often than last year. Five million have not engaged in months. The brand’s list says ten million. Its Real Reach says two.

Figure 1. The accounting asset and the attention asset. Illustrative split, not a market estimate.

This matters because almost every email metric is computed against the wrong denominator. Open rates and click rates are reported on sends, so a brand that stops emailing its dormant half looks healthier, not weaker. The list stays large, the rates improve, and nobody sees that the attention asset is shrinking.

It is also worth being precise about what the dormant half contains. It is not an audience waiting to be switched back on. Some of those people no longer need the category. Some have moved to a competitor. Some addresses have been abandoned, and a few have been recycled into traps that mailbox providers use to catch careless senders. Some customers withdrew their permission in spirit long ago, even if they never clicked unsubscribe. A dormant list contains a potential audience, mixed with addresses that should never be emailed again.

That is why the argument has to be made carefully. The opportunity is not to email the dormant half. It is to find the part of it that can still become an audience, earn that audience back, and leave the rest alone. Doing that well is expensive, and the expense is the reason almost no brand does it.

Thinks 2128

WSJ: “A tiny California startup founded earlier this year is taking the “Bring Your Own Power” trend that is dominating the AI race to a whole new level—it is relying on 3-D printing technology to help make backlogged power equipment.  Parallax, which was founded by a Stanford University graduate who previously co-founded a defense hardware company, has raised $117 million to enter the market for a key piece of equipment made by industrial giants: gas turbines. The company aims to make smaller, gas-fired turbines designed specifically for on-site power for data centers, leaning on 3-D printing technology instead of the specialty supply chain for turbines. The market for large turbines used at power plants has multiyear backlogs due to rising demand for power, much of it coming from the artificial intelligence boom.”

Epoch: “Over the past three years, the cost of a given level of AI performance has fallen about 47% per quarter, faster than for any other transformative technology in history.”

Jim Bildner: “Hope is not in short supply. More importantly, everyone has the ability to harness hope, turn it to action, and make a difference in the lives of others.”

FT: “Directors raised on video games have finally cracked how to translate them to the big screen — by focusing on their logic rather than their stories…With stories told primarily through space and action, this new breed of game-literate cinema has a different flavour: immersive and frequently overwhelming — experiences that bear down on the viewer as a video game often does on the player. Filmmakers have finally learnt to follow the rules of games, rather than just recycling their stories.”

WSJ: “Chess engines can beat grandmasters—but they can’t agree on a single infallible strategy. And, instead of ruining the game, artificial intelligence is now uncovering new ways of playing.”