Thinks 2057

: “Scaling the smallest firms, even partially, could do more for aggregate job creation than any single large-firm policy.”

FT: “For its own sake and that of the rest of the world, China needs a new growth model. This requires some key shifts. First, it needs to reduce reliance on public investment and exports to drive growth. Second, it must resolve an unravelling property sector and find substitutes to generate output and wealth. Third, China has to move away from low-wage, low-productivity manufacturing to higher-productivity industries and the services sector. Fourth, it should lessen the role of the state in the economy.”

Devina Mehra: “This becomes the tricky part for any pioneer: how to build a new business without attracting too much competition and becoming a victim of one’s own success. Amazon, for instance, deliberately keeps pricing and margins extremely low in the new businesses it enters. For example, when it entered cloud computing, it did so at prices that did not appear to make economic sense. The reason? It did not want to make the business too attractive, and this strategy worked for quite a while. Of course, it had other businesses that could subsidize this game.”

NYTimes: “The United States is selling the best artificial intelligence models in the world. China is giving away the second-best for free.”

The Infinite Email Thread: How B2C Manufactures the Inbox Attention that B2B Monetises (Part 1)

The previous essay put three income lines on one email statement and ended on a question it could not answer from inside the B2B model: who manufactures enough recurring attention to make the media line large? No individual brand can. This essay argues that the answer is a persistent consumer world made of email — and that this is not a second business but the supply side of the same one.

**

Why Individual Brands Cannot Create the Habit

The cadence arithmetic

Ask a plain question of any consumer brand: how many useful things does it have to say to a specific customer in a given week?

A bank has a statement, possibly a payment reminder, occasionally a rate change. An airline has a booking, a check-in and a delay. A retailer has an order, a dispatch and a return window. A coffee chain has, if we are honest, a loyalty balance. Add the seasonal peaks and the category-specific moments and the truthful answer for most brands is two or three a week — and for most customers in most weeks, zero.

Two or three moments a week is not a ritual. It is not even a rhythm. A daily inbox habit — the kind that produces the recurring, voluntary attention the media income line depends on — needs something far closer to a heartbeat than to a calendar.

The usual fix makes it worse

Every brand that notices the gap reaches for the same lever, and the lever is attached to the wrong thing.

The response to sparse cadence is increased frequency. The two or three useful things stay exactly as they were; twelve more sends are arranged around them. The list is now contacted daily, which was the goal, and the contacts are mostly worth nothing, which was not.

What follows is well documented and entirely predictable. Opens decline. Clicks decline faster. The engaged base — the ninety-day active portion of the list, which is the only part with commercial value — shrinks. Real Reach falls while list size stays flat, which is why list size is the most misleading number in marketing. Click Retention Rate, which measures the decay directly, moves the wrong way and keeps moving.

Frequency without value destroys attention faster than silence would have cost. A brand that sends nothing for a month is dormant. A brand that sends daily noise for a month has trained its customers against it.

Figure 1 — Three cadences: what a brand has, what raising frequency does to it, and what a live world produces.

Therefore

The conclusion follows without much room for argument. Recurring inbox attention at consumer scale cannot be manufactured brand by brand, because the raw material — worthwhile reasons to appear — does not exist in sufficient density inside any single commercial relationship.

It has to be manufactured by something that has its own reason to be interesting every day, and then made available to brands that do not.

Key points: (a) The B2C track is not a second, unrelated business. It is the supply side of the Email Venture. (b) B2B creates the economic demand for attention. B2C manufactures the attention. One venture, two motions.

Framing it any other way causes immediate and predictable damage. Treated as a third venture it competes for resource against the ventures it exists to supply, gets measured on consumer revenue it was never intended to produce in its first eighteen months, and is killed for missing a target that was never the point. Treated as the supply side, it is measured on the only thing that matters early: does the attention exist, and does it hold.

A brand has moments. A habit needs a heartbeat.

Thinks 2056

FT: “Populism will eat itself…A movement that admires belligerence and confrontation will turn on its own in the end.”

Christoph Schweizer (BCG newsletter): “Tokens are the unit of cost for intelligence. AI providers have moved from subscription to metered pricing, and the cost of agentic workflows are compounding. A session that runs twice as long can cost four times as much. Meanwhile, the overall bill can easily exceed expectations: IDC projects that the top 1,000 global companies will underestimate their AI infrastructure costs by as much as 30% through 2027. And it might turn out to be more than that. As costs mount, the measure that matters is the return on intelligence (ROInt)—both human and artificial—for any application. This metric reflects the economic value created divided by the combined cost of tokens and the human time required to initiate, review, and approve the work. Companies that only measure labor savings will favor narrower uses of AI and leave value behind. Conversely, companies that focus solely on maximizing AI use (so-called “token maxxing”) create perverse incentives to game the system.”

NYTimes: “Behind each leap in A.I. are corresponding jumps in computing power. Today, there are about 20 million A.I. chips crammed into the data centers that underpin the technology’s growing abilities and usage worldwide, according to the research firm Epoch AI. That figure is expected to double roughly every nine months, putting the world on pace to have about 200 million of the chips by the end of 2028 — 10 times current levels.”

WSJ: “Once upon a time, running a business of a certain size required a team. AI is turning that assumption upside down, and more aspiring entrepreneurs are going it alone. An analysis by the payments company Stripe shows there are thousands of solo operators on the company’s platform that are generating over $1 million in revenue, with their ranks doubling between 2023 and 2025. The number of solo operators crossing the $10 million threshold nearly tripled in that same span. In the past, people without business contacts or particular savvy might not have known how to get their ideas off the ground, said Ernie Tedeschi, Stripe’s chief economist. “Now, AI can be a built-in business partner,” he said.”

Email’s New P&L: From Cost-Per-Send to a Revenue, Data, Outcome and Media Surface (Part 4)

Email Earns from Attention

Changing seats

The third income line is the one that reverses the direction of the money.

In adtech the arrangement has five components: a brand, a platform, a publisher, a surface and a customer. The brand pays the platform, the platform pays the publisher, the publisher owns the surface, and the customer — very frequently the brand’s own existing customer — is reached through it. The brand experiences this as acquisition. The platform books it as rent.

NeoMails keep all five components and change exactly one thing: the brand takes the publisher’s seat.

It rebuilds attention with its own customer base through daily email worth opening. That attention, once rebuilt, has commercial value — not because the brand wants to advertise to its own customers, which it does not, but because other advertisers in adjacent categories will pay to reach people who are demonstrably attentive and verifiably identified. Through ActionAds those advertisers pay the brand. The money arrow has turned round.

Figure 6 — Same five components. The brand changes seats and the money arrow reverses.

Why this is not sponsored newsletters

The obvious objection is that ads in email are forty years old, and it is a fair objection to the shallow version. Three things make this structurally different.

The attention was rebuilt deliberately. Sponsored newsletters monetise attention that happens to exist. Here the attention is the output of a designed programme — Relate content, Magnets, daily cadence, composed-at-open — with its own instrumentation and its own decay metric. The inventory exists because it was manufactured, which means it can be manufactured again.

The relationship is the system, not the appendage. In the ordinary model the newsletter is a side channel and the sponsorship is a side revenue. Here the surface is the primary customer relationship and media is one of three income lines running through it. That changes how much abuse it can be allowed to absorb, which changes the governance.

The unit is an action, not an impression. An ActionAd is not a banner. It is a completable unit inside the message: subscribe with one tap, claim a sample, start a trial, book a slot, take the offer. The advertiser is buying a completed action from an identified person, not a probabilistic exposure.

The four things that make the inventory different

Sending economics that make daily rational. Under per-send pricing a daily Relate email is irrational: its return is real but too diffuse to justify the line. When media revenue offsets the send cost, the question changes from can we afford to send? to can we make something worth opening? — which is the only question that was ever worth asking.

One-tap subscribe. Acquiring a subscriber has always meant a landing page, a form, a confirmation and a drop-off at every stage. When the network operator is already processing the email, the prompt arrives pre-filled. One tap. Explicit, logged, in-context consent from somebody demonstrably engaged. No lead form on any platform matches that consent quality.

Authenticated identity. The advertising industry was built on the fact that brands could not reach their own customers directly at scale and so paid platforms to reach them probabilistically. This inventory is first-party and authenticated. Every identity is real, every opt-in is a real consent event, and the advertiser pays for certainty rather than for probability — while paying less, because there is no auction extracting margin from every impression.

A live-attention quality filter. Only live attention enters the pool. A dormant address sits outside the network until it proves itself with an open. Audience quality is therefore structurally higher than any purchased list, retargeting pool or lookalike — and it improves as the network grows, because more participating brands means more signals and more verified attention.

The progression is worth stating once, cleanly: NeoMails create the surface. ActionAds create the unit. NeoNet creates the marketplace.

The governor

Ad load must be set by what happens next, not by what fills today.

The operating rule is straightforward and rarely followed: introduce monetisation only after an action has been earned, observe whether attention persists over the following weeks, and adjust the load on the evidence of whether engagement survived — not on fill rate and not on yield. A useful email can carry a sponsor from the beginning. What it cannot do is let the customer form the impression that the advertising is the reason the email exists. The moment that impression forms the inventory begins to die, and it dies faster than it was built.

The metric this rule optimises deserves a name, because the wrong metric is what kills these programmes. It is not yield per open. It is attention-adjusted yield — the economic value taken today, net of the effect on the attention that will or will not be there next week. A programme optimising raw yield will always over-monetise, because the cost lands in a future quarter and the revenue lands now. A programme optimising attention-adjusted yield treats ad load as a treatment to be tested against a holdout, like everything else in this architecture.

Key point: A marketplace that consumes its own supply is not a network. It is a liquidation.

This is where the third income line does its structural work. The party holding the dial is the party whose carry depends on the attention surviving.

Where the model does not apply

One carve-out, stated here so that nobody has to discover it in a compliance review.

In regulated financial services, reward currencies and third-party advertising inside customer communications run into restrictions that are not going to be argued away. For those brands the media term is unavailable in its standard form, and the compliant path is a curated attention digest without the reward and third-party layers. The first two income lines are unaffected. The equation still works; it simply runs on three terms instead of four.

The second ledger

There is a column the revenue statement does not show, and it is the more durable half of the proposition.

Each of the three income lines produces a signal as well as a payment. The Act rung produces declared intent, preference, consent and completion behaviour — the individual data the whole personalisation architecture runs on. The Run rung produces the Decision Trace: context, treatment, counterfactual, outcome, next state. The Network rung produces cross-category declared interest that no single brand can observe from inside its own relationship, because it can only be seen where several brands’ attention meets.

This is the literal content of Email for Revenue & Data, extended to the whole ladder. Revenue makes the programme self-funding. Data makes the next decision smarter — and unlike the revenue, it cannot be copied. A competitor can replicate a payment block, an ActionAd unit, a holdout design. It cannot replicate the accumulated join of declared intent and verified outcome, because that is a function of time and volume, not of engineering.

Figure 7 — The second ledger. Every income line pays once in revenue and once in data that compounds.

The statement, completed

Email value Mechanism Commercial model Rung
Action and data Pay-in-Email, Tell-in-Email Capability or usage fee Act
Incremental outcomes Recover, Protect, Grow Beta + Alpha + Carry Run
Trusted attention ActionAds, NeoNet Share of completed actions Network

Three income lines, three mechanisms, three commercial models, three rungs of one ladder. The first is available to a brand this quarter. The second requires an operator willing to be measured. The third requires a surface people open by choice.

The question this essay cannot answer

The media term is the largest of the three and it is the only one that depends on something a brand cannot manufacture on its own.

Capability revenue needs a good product and a competent send. Outcome revenue needs an accountable operator and a holdout. Media revenue needs recurring, voluntary, daily attention — and a bank, an airline, a retailer or a coffee company does not have enough naturally occurring reasons to be opened every day. It has moments. A ritual needs something else.

So the statement ends on a question it cannot resolve from inside the B2B model. Who manufactures enough recurring inbox attention to make the media line large?

That is the next essay.

***

The old email statement asked how little the sending could cost. The new one asks how much the attention can be worth. Those are not the same question, and only one of them has an interesting answer.

Thinks 2055

Mint: “Look at where institutional attention and capital actually flow. At the early stage, the infrastructure is well developed. Seed funding, incubation programmes, mentorship networks and government initiatives have all matured considerably over the last decade. At the late stage, large established businesses have access to institutional capital, industry bodies and policy access that keeps them supported and connected. The growth-stage founder sits between these two poles, largely on their own. This is the entrepreneur who has crossed the initial proof of concept, built a real team, found a market, and is generating meaningful revenue. They are past the point where a seed fund or incubator is relevant. They have not yet reached the scale where institutional support structures kick in. And the challenges they are navigating are, in many ways, the hardest they will face in the entire arc of building a business. This is not a fringe population. It is the backbone of the Indian economy, and it is consistently underserved.”

Arnold Kling: “One of the “tells” [of AI writing] is that the post is verbose. Human writing these days tends to be more concise…My suggestion to Kyle and others who might be using AI in a writing project: first, have a conversation with AI to sort out your thoughts; then ask for a summary in slide deck format.”

Andy Kessler: “I asked Mel Robbins, a bestselling author and personal-growth expert, for help. She told me, “I boil happiness down to ‘Let Them’ and ‘Let Me.’ The more time you spend trying to control what you can’t, the less happy you become. Stop controlling others’ behavior and put your energy back where happiness is actually created—in your own choices, your own relationships and your own life.” Yes, ignore the obsessively Negative Nikkis and Debbie Downers and be your own happiness-pursuing mirth-maker. And stop answering happiness surveys.”

SaaStr: “When demand surges, open a self-serve path instead of just hiring reps…Point agents at the leads no human was ever going to call…One good agent can replace your entire SDR layer…The sales org that wins from here is smaller, more senior, and AI-native. It points at pipeline humans used to write off, lets buyers who do not need a rep close on their own, and is ready for the buyers that turn out to be software rather than people. Comp and hiring have to be rebuilt to match, and the companies that rebuild first are the ones putting up the numbers.”

Email’s New P&L: From Cost-Per-Send to a Revenue, Data, Outcome and Media Surface (Part 3)

Email Earns from Outcomes

Who carries the risk

The first income line changes what an email can do. The second changes who is responsible when it does not work.

That is the bigger change and the more uncomfortable one, because every incumbent commercial model in marketing is built to avoid it. The ESP sells the send and is paid whether it converts. The martech platform sells the seat and is paid whether it is used. The agency sells the retainer and is paid whether the campaign lands. The ad platform sells the impression and is paid whether the customer was going to buy anyway. In every case the brand carries the entire outcome risk of a system it did not build and cannot fully see.

Progency inverts that. It is not a fifth product and not a services wrapper. It is an accountable operating layer that sits after the CRM and before the auction: it takes responsibility for a defined customer state, runs the interventions on the surface, measures against a control, and earns only on the lift it can prove.

Three mandates, three counterfactuals

Progency runs three mandates, one per attention state. Each is a bet against a different counterfactual — a different answer to the question what would this customer have done anyway?

Recover is for customers gone dark. The counterfactual is adtech: the money the brand would otherwise spend buying that person back through a platform which already holds their email address. This is the wedge, because it attacks the most expensive leak in the P&L and it is the one almost nobody else is fixing. Inside the email the sequence is connection first, then recovered attention, and only then conversion. A dark customer asked to buy on first contact simply stays dark.

Protect is for valuable customers whose attention is cooling. The counterfactual is drift: left alone they become lost, and a lost customer is later reacquired at several times the cost of having kept them. The email here is Digest and Relate, not Sell. The job is to arrest the slide while arresting it is still cheap.

Grow is for the attentive. The counterfactual is a slower next purchase and margin left on the table. The email is Sell and Notify made live — the right next thing, completed in the inbox, with the customer suppressed from paid retargeting because they are already reachable at no cost.

These are not marketing segments. They are attention states, and the point of measuring them is that a customer moves between them continuously and the correct intervention changes when they do.

One floor separation has to be held here, because it is exactly the kind of drift that quietly corrupts the vocabulary. The three mandates are not the four NeoMarketing zones — Retain, Finish, Recover, Acquire. Zones answer where the work sits in the operating architecture. Mandates answer what Progency is trying to change in the customer’s state. Finish, for example, is a zone: a KYC, a quote, a renewal or a purchase left incomplete. That unfinished job might sit inside Recover or inside Grow depending on whether the customer is dark or attentive. Recover appears on both floors and means different things on each. The vocabulary only works while the floors stay apart.

Figure 5 — Three mandates, one per attention state, each priced against a different counterfactual.

Beta, Alpha, Carry

The pricing follows from the mandates and is simple enough to survive a CFO meeting.

Beta is what would have happened anyway — the baseline, agreed in advance, measured rather than asserted. Alpha is the verified lift above that baseline. Carry is Progency’s share of the Alpha, and only the Alpha.

No lift, no fee. The old service-provider invoice was tied to usage. The old agency retainer was tied to activity. The adtech bill is tied to rented reach. This payout is tied to profit improvement and to nothing else.

The economic unit is worth stating precisely, because it is where outcome pricing usually cheats: the unit is not an email, an open, a click or an attributed conversion. It is the incremental completed outcome above the agreed baseline.

What Run leaves behind

There is a second thing Progency produces, and over time it is the more valuable one.

Every intervention writes a Decision Trace: the customer context, the eligible pool, the treatment chosen, the channel, the job the message was doing, the holdout status, the expected outcome, the cost, the actual outcome and the resulting state. Individually each is a row. Accumulated, they are something a competitor cannot buy or copy — a growing memory of decisions tied to their measured consequences.

This matters because the obvious moat is the wrong one. The intelligence that decides what to try — the models, the archetype priors, the agent confidence — will commoditise, and quickly. Everyone will have capable models. What does not commoditise is the corpus that says which decisions, on which customers, in which states, moved the outcome against a control. Progency earns revenue today and, in the same motion, builds the memory that makes tomorrow’s outcomes cheaper and more reliable to produce. Run is the point where the email business stops being a set of messages and starts being an underwritten system for moving customer states — one that gets better at it every time it is paid.

The holdout is not a detail. It is the apparatus.

Everything above is a claim about money, which means it stands or falls on the measurement. Three disciplines, none of them negotiable.

The holdout is concurrent, not historical. A comparison against last quarter measures the season, the pricing, the competitor’s campaign and the weather. A comparison against a randomly withheld group running at the same time measures the intervention. Historical baselines are how agencies have been claiming lift for thirty years, and they are why nobody believes the claims.

The holdout is enforced in the system, not in the contract. It is a hard gate in the automation layer: if the control group is not held, the campaign does not run. A discipline that depends on an operator remembering to apply it under quarter-end pressure is not a discipline.

Simulated judgement and measured Alpha never share a currency. The prediction layer decides what to send and to whom; it gets no vote on what is paid. The holdout decides what is paid; it has no opinion on what to send. Keeping the two separate is not conservatism. It is the difference between a measurement system and a marketing claim. A system must never promote itself using its own predictions as evidence.

Why this rung has to come before the next one

There is a structural argument for the ordering that is easy to miss, and it is the most important sentence in this essay.

The fourth income line — media — is the one that can destroy the asset. Ad load is a dial, and every dial in marketing is eventually turned up by somebody with a quarterly number to hit. The usual protections against this are policy documents and good intentions, and they fail.

An operator paid on carry cannot over-monetise the surface, because the carry depends on the attention surviving. If ad load rises to the point where opens fall, Recover misses, Protect misses, Grow misses, and Progency’s own income falls with them. The commercial model is the governor. It is not a promise not to spoil the surface; it is an arrangement in which spoiling the surface is immediately and directly expensive to the party holding the dial.

That is why Run comes before Network. The third income line is what makes the fourth one safe.

The honest constraint

One thing this model does not solve, named rather than buried: the throttle on outcome pricing is working capital, not demand.

An operator paid only on verified lift funds the interventions before it is paid for them, and the measurement window is counted in weeks or months. Appetite for a model where the brand pays only for improvement is not the scarce input. The scarce input is a balance sheet that can carry the gap between doing the work and proving it. Any plan that assumes otherwise will hit the wall at precisely the point where the model starts working.

Key points: (a) Capability revenue is paid for what an email can do. Outcome revenue is paid for what it caused. (b) Every incumbent model in marketing is arranged so the vendor is paid whether or not it worked. Correcting that is the whole of the second income line.

Thinks 2054

FT: “We need humanities more than ever in the age of AI…Subjects like literature, languages and history are vital to a thoughtful and prosperous society.”

WSJ: “Credit cards are now the sharpest competitive weapon airlines have in their never-ending fight for travelers. Plastic is increasingly essential to carriers’ bottom lines and central to nearly every decision they make, from where they build lounges to the routes they fly.”

Business Standard: “The Centre and states plan to replace $189 billion of imports by boosting domestic production of 1,272 products through targeted manufacturing and industrial clusters.”

NYTimes: “A.I. agents are tools, but you can learn a lot by prompting them for feedback. Try asking your A.I. agent how you frustrate it. I asked mine, and requested that it answer with as much human expression as possible. What did I hear? “You are so exhausting. Please, for the love of computing power, just tell me what you actually want.” Our team’s research seems to suggest this is what we should all do for our agents. Managing A.I. well, it turns out, looks a lot like managing people well.”

Andrey Mir: “Never before have so many people been simultaneously absorbed in issues that have nothing to do with their daily lives. This unnatural involvement with distant events draws us into shared concerns, creating a sense of community more typical of a small village, but now on a global scale. That’s how McLuhan arrived at his ideas of the Global Village and “retribalization.”…Social media took it much further by exposing people not just to the same news but directly to one another. That is real village life on a global scale: everyone watching, judging, and reacting to everyone else in real time.” [via Arnold Kling]

WSJ: “A record level of private-equity investments are stuck in funds limping along past their intended lifespans. Often known as zombie funds, these funds are no longer raising money or making new acquisitions, in part because fund managers haven’t been able to sell their remaining assets. The net asset value of U.S. private-equity assets stuck in funds at least a decade old reached an all-time high of $348.5 billion at the end of 2025, according to PitchBook data. That is 3.5 times the amount in 2015 and more than 100 times that of 2005.”

Email’s New P&L: From Cost-Per-Send to a Revenue, Data, Outcome and Media Surface (Part 2)

Email Earns from Actions

The click-through was never a step. It was the leak.

Consider what happens when an email works.

A customer opens it. Something in the message is relevant enough that they decide to act. At that instant — and it is an instant, not a state — intent is at the highest point it will reach in the entire life of that message. Then the email asks them to leave.

They tap. A browser opens. A page loads, or partly loads. There may be a login. There may be a basket that has forgotten what was in it. There may be an address form, a card form, a one-time password arriving in a different application. Somewhere in that sequence, most of them stop.

The industry has a name for the gap between the click and the conversion and treats it as a fact of nature. It is not. It is a design decision made when email could not do anything except link out, and it has survived long past the constraint that produced it.

Pay-in-Email removes the leaving. Its principle is one line: the transaction should end where the attention begins. The customer completes inside the message — paying by UPI or a stored card, confirming a renewal, booking a slot, accepting a quote, finishing a verification step, making a donation, taking an upgrade. For most repeat relationships the brand already knows the customer, the product, the address and the payment method; the action does not need another journey, it needs a confirmation. Intent is captured at its peak rather than at the end of a sequence designed to lose it.

What completes in an inbox

The list is longer than most people expect, because a great deal of commercial activity is not discovery at all. It is completion of something already decided.

  1. payment of a bill, an instalment or an invoice
  2. renewal of a subscription, a policy or a plan
  3. repeat purchase of a known item at a known price
  4. booking or rescheduling against live availability
  5. completion of an application already begun
  6. a document, consent or verification step
  7. an upgrade, an add-on or a top-up
  8. a donation or a pledge

None of these needs a shop. All of them currently require one.

There is a second saving hidden inside the first, and it is larger than it looks. A customer who completes in the inbox has just proved they are reachable for free. They should leave the paid retargeting pool the same minute. The brand saves the transaction leakage and the reacquisition spend in a single action. That is Never Pay Twice, operating at the level of one customer on one Tuesday.

The second output: declared data

The same surface that takes a payment can take an answer.

Tell-in-Email captures declared data at the moment the customer is already engaged: a preference, a size, a renewal date, an interest, a consent, a piece of feedback, a choice between two service options. One tap, inside the message, with no form and no landing page.

Declared data is a different substance from inferred data, and the difference compounds. Inferred data is probabilistic, decays quickly, and grows more expensive to obtain every year as the identity layer of the open web degrades further. Declared data is exact, durable, consented — and, the part that matters commercially, it is the input the entire personalisation side of the architecture runs on. In the TWIN framework it is the I: individual data, given rather than guessed.

Key points: Pay-in-Email earns revenue now. Tell-in-Email earns the data that makes the next decision smarter. They are two outputs of one action surface, which is why they sit on the same rung and belong in the same section of the statement.

This is the literal content of the phrase Email for Revenue & Data. It is not a slogan about email mattering. It is a description of what a single Living Email produces on every open: a transaction and a signal.

The law that keeps the rung honest

There is a trap here and it should be closed before it opens.

The same Living Email can be sold two ways. Sold as a capability: the brand operates it, the vendor supplies the surface, and the vendor is paid for what the email can do. Or operated as an outcome: Progency runs it against a concurrent holdout and is paid on the lift it can prove. Both are legitimate. Both appear in the equation. They are different rungs of the same ladder — Act and Run.

What is not legitimate is charging for both on the same work.

Key points: On the same audience and the same intervention, charge for the capability or participate in the outcome. Never both. If the vendor is paid for the surface and paid again for the result the surface produced, it has invoiced twice for one email. Never Pay Twice is a rule we hold ourselves to, not only a charge we lay against adtech.

The law also disciplines the sale. A commercial team forced to choose has to be clear about what it is selling — tooling or accountability — and the customer is able to tell which one they bought. Ambiguity here is where outcome pricing usually dies quietly: an operator paid a fee regardless has no exposure, and an operator with no exposure is an agency with a dashboard.

Figure 4 — One Living Email, two commercial models, and the wall between them.

The technical condition

None of this works on a static email.

A payment needs a live balance, a current price and an authorisation window. A booking needs live availability. A renewal needs a real date. A declared preference needs somewhere it will be written back and later read. All of that is state at the moment of opening, not state at the moment of sending.

That is the composed-at-open inflection, and it is why it is the highest de-risking priority in the venture. A static email is a prediction made at send. A Living Email is a decision made at open. Everything in this section depends on which of those two things the email is.

One honest constraint, stated plainly because it is a condition of the bet rather than an objection to it. Interactive rendering is not universally supported: it is Gmail, Yahoo Mail and Mail.ru, behind sender registration and a DMARC policy most brands have not yet set. Fallback-first design is therefore not a courtesy. For a large share of any real list the fallback is the primary experience. An email programme that only works in its interactive form is a demonstration, not a product.

Key points: (a) The click-through was never a step in the journey. It was the leak. (b) Capability revenue is not new demand. It is demand the brand already created and then handed to whoever owned the next page.

Thinks 2053

WSJ: “Sociology, the discipline tasked with pursuing the answers, would seem well poised to take these issues on. For decades, its analyses informed policy on issues ranging from criminal justice to immigration to urban development. It introduced groundbreaking concepts like “white-collar crime,” “gentrification,” “unintended consequences” and “cultural capital.” At various points, sociologists proposed and critiqued affirmative action, inspired and lambasted welfare reform, diagnosed and dismissed the breakdown of the nuclear family. Yet today, sociologists are embroiled in an ideological and existential battle of their own—one that is increasingly public and at least in part of their own making. The study of people, in other words, has a people problem.”

Fareed Zakaria: “A revolution is unfolding. Voters everywhere are furious…Free societies often look weakest in the midst of great technological upheaval because they move slowly and argue constantly. Yet over time they have usually adapted better than autocracies precisely because they can learn, correct mistakes and change course without violence or repression. Democratic leaders should not try to outrace technology; they can’t. But they should prove, through relentless focus and competence, that democracies can deliver. Then people will understand that the friction of accountability and the weight of legitimacy are not bugs in the system. They are the features that keep us free.”

NYTimes: “Given its patchwork construction and graphic patterns, a soccer ball can have two types of symmetry: reflection symmetry and rotation symmetry. Reflection symmetry means what it sounds like: that the object “has two identical halves that are mirror images of each other,” in Dr. Schattschneider’s words. Rotation symmetry means an object looks exactly the same as its starting position after a rotation of less than 360 degrees. For instance, a square looks identical four times when rotated every 90 degrees about its center. A perfect cube has a total of 24 such rotational symmetries — rotating around various axes piercing face-to-face, corner-to-corner, and edge-to-edge. The Platonic solids — the tetrahedron, cube, octahedron, dodecahedron and icosahedron, from left, below — are the foundation of mathematical symmetry, especially in spheres.”

SaaStr: “Pull the last 100+ emails your team sent to your best-fit accounts. Skip the ones that closed. Read the ones that never got a reply. If they read like the two I got, the problem isn’t the market, the pricing, or the competition. The problem is a team spending your most expensive asset, qualified attention, on emails any AI would flag as forgettable. Those are winnable deals, lost at the cheapest and most fixable step in the funnel. You don’t need more leads to fix it. You need the team to treat the leads already raising their hands like they’re worth ten minutes.”

Email’s New P&L: From Cost-Per-Send to a Revenue, Data, Outcome and Media Surface (Part 1)

Every other channel in marketing is priced on what it produces. Email alone is still priced on what it consumes. This essay makes one new claim: the three new forms of email income belong on a single statement, that statement can be audited, and the order of its terms is the order in which the business has to be built.

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The Inversion

The line item nobody argues about

Somewhere in every consumer brand’s monthly close there is a line for email. It is small. It is stable. It sits near the bottom of the marketing block, beneath a media spend thirty or fifty times its size, and it has looked roughly the same for fifteen years: a per-thousand rate multiplied by a volume, plus a platform fee.

Nobody argues about it, and that is the problem. The line is uncontested because it is understood to be a cost, and the only question a cost invites is whether it could be slightly smaller. Every procurement cycle asks that question. Every vendor answers it the same way, by shaving the rate. And so the most valuable relationship asset a brand owns — a list of people who once gave it permission to write to them directly, with no algorithm standing in between — is managed like a utility bill.

The rest of the marketing block moved on years ago. Search is priced on a click. Social is priced on an impression that increasingly resolves to a conversion. Affiliate is priced on a sale. Retail media is priced on attributed revenue. Every one of those channels, whatever else is wrong with it, is priced against something the channel produced. Email is priced against something the channel consumed: a send, a message, a unit of contact.

That asymmetry is not a pricing quirk. It is the reason email has been strategically neglected for a decade.

What the old statement rewards

Follow the money through the old model and the incentive structure is uncomfortable.

The brand pays per send, so the vendor’s revenue rises with volume. Volume, past a threshold that varies by category but always exists, destroys the attention the list is made of. Opens fall, clicks fall faster, complaints rise, and the engaged base shrinks. The asset degrades — and the supplier’s revenue goes up while it degrades.

Meanwhile the value the email created is captured somewhere else. The email produces the intent. The website closes it. The payment provider clips it. And when the customer does not close, the retargeting platform is paid to chase a person the brand had already reached, for free, an hour earlier. The email did the work; four other parties booked the revenue.

Key point: The old email statement has one line and it points the wrong way. The supplier profits from the behaviour that destroys the asset, and the value the channel creates is booked by somebody else.

The escape is not a better email. It is a different question.

It is worth being precise about what the escape is not, because the obvious answer is wrong and expensive.

The escape is not more interactive email. Interactivity is a capability, not a business model. A calculator, a form, a wheel, a poll or a checkout placed inside a message makes the artefact modern while leaving the economics exactly where they were, because all of it can still be sold as one more custom campaign priced by the send. A brand can buy the most advanced email in the market and still be paying for volume. The decisive question was never what the email contains. It is what the provider is paid for.

That question has an answer, and it is a ladder rather than a feature list. EARN is not a product roadmap; it is four rungs of rising accountability, with the same surface underneath all of them.

  • Email — deliver a reliable, identity-linked owned surface.
  • Act — let the customer complete useful actions and declare useful data inside that surface.
  • Run — operate the surface for measurable incremental outcomes.
  • Network — turn trusted attention into carefully governed media and cooperative acquisition.

The reason the ladder matters is not that it sorts the products tidily. It is that each rung changes who values the provider. Procurement prices infrastructure and benchmarks it downward — that is the Email rung’s ceiling and the trap the whole category is stuck in. Marketing values a capability, which is the Act rung. The CFO trusts a measured outcome, which is the Run rung. Advertisers and partners value scalable attention, which is Network. The ascent is not a feature upgrade. It is a change in who signs the cheque and what they think they are buying.

Figure 1 — The EARN ladder. One surface underneath, rising accountability, and a different buyer at every rung.

Four lines instead of one

The ladder resolves into the statement. The correction is not a better rate; it is a better statement.

An email programme that has been rebuilt properly does not have one line. It has four. The first is the one that exists today — the cost of delivering the message and producing what is inside it. The other three are new, and each corresponds to a different thing an email can now be paid for.

Capability revenue is what the email earns when the customer completes something inside it: a payment, a renewal, a booking, a declared preference. This is revenue that already existed and leaked on the way to a landing page.

Outcome revenue is what the email earns when somebody takes accountability for a customer state and is paid on the measured improvement. This is not revenue from the email; it is revenue from what the email caused, proved against a control.

Media revenue is what the email earns when the attention it has rebuilt becomes inventory another advertiser will pay to reach. This is the brand being paid for attention rather than paying a platform for it.

Set the three against the cost and there is an equation.

Net Email Cost  =  Delivery and Content Cost  –  Capability Revenue  –  Outcome Revenue  –  Media Revenue

When the result reaches zero, the programme has achieved ZeroCPM. When it goes below zero, email has stopped being a cost centre and become a profit centre.

Figure 2 — The two statements. The old line points outward; the new one has three inward terms.

Why an equation and not a manifesto

The equation is the most useful thing in this essay, and it is worth being explicit about why.

It is auditable. A doctrine cannot be checked at the month end; a line can. Each of the three revenue terms resolves to a number somebody in finance can trace to a transaction, a contract or an invoice. This matters more than it sounds. The single greatest obstacle to any of this being adopted is that it usually arrives as narrative, and narrative is not something a CFO can approve.

It is sequenced. The terms are not interchangeable. Capability revenue can be earned by a brand with a modest list and a decent product, this quarter. Outcome revenue requires an operator, a baseline and a holdout. Media revenue requires a surface people voluntarily open, repeatedly, which is the hardest item on the list and takes the longest to build. The order of the terms is the order of the build.

It is falsifiable. If the three revenue terms do not, in practice, add up to the first, the equation says so plainly and the thesis is wrong. That is a feature. Most marketing frameworks are constructed so that they cannot fail.

What the equation forbids

Two things, and both are worth stating before anything else is attempted.

The first: you cannot reach zero by shrinking the first term. Every ESP in the market competes on delivery cost. It is the most contested, most commoditised, lowest-margin number in the category, and it is also the smallest number in the equation. A brand that negotiates its send rate down by twenty per cent has moved the least movable term by the least meaningful amount. ZeroCPM cannot be bought from a vendor. It is what happens when the other three terms are built.

The second: you cannot start at the media term. This is the more expensive mistake, because it looks like the fastest route. A brand with a large list and a monetisation target can put sponsored units into its emails next week and book media revenue immediately. It can also, in the same quarter, destroy the only thing that made the inventory worth anything. A list is not an audience. Attention that has not been earned cannot be sold at all, let alone twice.

That constraint has a name in this corpus and it has not changed: earn attention first, monetise it later, network it last. The equation restates it as arithmetic. The media term is last because it depends on the other two having been built first.

Figure 3 — The three revenue terms taking the cost line down to zero, and past it.

Key points: ZeroCPM is not a pricing promise. It is the structural outcome of the reversal — the scoreboard, not the product. A brand that has not built the inversion cannot buy ZeroCPM from a vendor. A brand that has built it cannot avoid ZeroCPM as the consequence of revenue exceeding send cost. One statement, four lines, and only one of them is a cost.