Rajesh Jain

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.

Published October 29, 2026

Personal AI agents will take over the chores. The opportunity lies in what people still want to do themselves.

In September, the inbox got a doorman. And the doorman acts.

The argument in one line. Personal AI agents will handle the chores of digital life: sorting, comparing, booking, paying, filing. That frees human attention, but it does not hand that attention to brands. The time people save will go to what they want to do themselves: learn, play, collect, compete and belong. Brands that build those experiences, and use AI to make them richer rather than to remove the person, will earn a place the agent is told to protect. Agents will clear the inbox. The winners will build what humans choose to come back for.

The Inbox Has Two Readers argued that every message now meets a person and the person’s AI agent, and that utility will move to the agent while experience stays with the person. That essay asked how one message can serve two readers. This one asks the next question: once the agent has handled everything it can, what does the human come back for?

1

The agents arrive

In one month, personal agents moved from reading to acting.

Picture two mornings. On the first, a person wakes to twenty-seven unread emails: a bank confirmation, a discount on something bought last week, a hotel asking for feedback, receipts, a renewal reminder, a newsletter. They skim, postpone, delete, and miss the one message that mattered. On the second, their agent has already filed the receipts, checked the renewal and set aside two decisions that need approval. The inbox is quiet. The marketer’s question is where their messages went. The more interesting question is what the person now chooses to open.

The second morning is no longer hypothetical. On 8 September, Meta introduced Muse, a personal agent that runs on its own secure virtual machine in the cloud, works across a person’s connected apps, and sends emails, books travel and shops, asking for approval before consequential steps. On 29 September, OpenAI introduced dots: always-on agents, each with its own cloud computer, reaching more than 4,000 apps and doing some work before anyone asks for it. That unprompted background work is restricted to reading: actions that touch a person’s accounts are checked against their rules before they run. Alongside them sits Instinct, an invite-only agent that people reach by text message. On 5 October it brought its agent into group chats, where it can help a group of friends plan a trip, buy tickets or decide who brings what, even if some of those friends have no account.

Mark Zuckerberg’s stated ambition is an agent for everyone, working around the clock on their behalf. Whether or not that arrives on schedule, the direction is no longer speculative. The largest consumer technology companies in the world are now competing to stand between people and their digital lives.

None of this is finished. OpenAI tells users to review consequential work because dots can still make mistakes. Early users have already posted reports of agents acting without approval, some of them still unconfirmed. Most people do not yet use any of these products, and many will never grant an agent access to their inbox.

But the test I set in The Inbox Has Two Readers has moved faster than I expected. That essay gave the two-reader thesis until 31 December 2028 and asked for three kinds of evidence: capability, adoption and sender behaviour. Within weeks, capability has largely arrived. Adoption is the open question. Sender behaviour has not started: almost every brand still writes every message as though a person will read it.

The inbox now has a doorman, and the doorman acts.

2

The paradox of delegation

The more effort AI removes, the more we notice which effort was the point.

There are two kinds of things we do. Some we do for the outcome. Others we do for the experience. An agent that files my tax return is a gift: I want the return filed, and I would happily never see the form. An agent that completes my crossword has destroyed the only reason the crossword existed.

The AI industry mostly treats human effort as waste to be removed. Much of it is. But not all effort is waste. Some of it is the reason we take part.

History is clear on this. When Deep Blue beat Garry Kasparov in 1997, many assumed chess had lost its point. Today more people play chess than ever, and the engines that beat the world champion have become the coaches that help ordinary players improve. Cars did not end the marathon. Calculators did not end Sudoku. Any computer can solve the day’s Wordle in an instant, and millions still play it every morning, because the point was never the answer. The point was solving it, and sharing the grid with friends.

Psychology explains why. Richard Ryan and Edward Deci’s self-determination theory identifies three needs behind intrinsic motivation: autonomy, the sense of choosing for oneself; competence, the sense of getting better at something; and relatedness, the sense of belonging with others. Learning, play and shared collecting satisfy all three. Delegating them to software satisfies none.

The same research carries a warning, though not a blanket one. A meta-analysis of 128 experiments by Deci, Richard Koestner and Ryan found that tangible rewards people expected to receive tended to weaken intrinsic motivation for interesting activities, while positive feedback strengthened it. Other researchers dispute how general the effect is. The design lesson survives the debate: recognition helps, and paying people to play can turn play into work. I will return to this, because it shapes how any reward for attention should be designed.

Figure 1 sorts the activities of digital life by what people are likely to hand over.

Figure 1 — The delegation spectrum. Chores move to the agent; discovery is assisted; learning, play and belonging stay with the person.

The middle column matters. Agents will help people find what to explore, coordinate plans and remind them of what they chose. The right-hand column is where the person wants to do the thing themselves. The Inbox Has Two Readers drew a similar line between routine choice, which will be delegated, and expressive choice, which stays human. Window or aisle is routine. Which Card to give my sister is expressive.

This gives every product built in the age of agents one design test.

Does the AI create value by doing the activity for me, or by helping me enjoy doing it myself?

3

Two markets

Agents save time. The next opportunity is making saved time worth spending.

AI is creating two markets at once.

The first is the market for delegated work. Machines compete to deliver results with less human involvement: fewer clicks, fewer forms, fewer decisions. It is measured in tasks completed, minutes saved and errors avoided. This is where Meta, OpenAI, Google and a crowd of well-funded start-ups now compete.

The second is the market for chosen experiences. Companies compete to offer things people want to spend their own attention on. It is measured in voluntary return, mastery and belonging. Media, games and social networks have always lived here.

The first market eliminates effort. The second makes effort rewarding.

Brands sit awkwardly between the two. They hold something most companies would envy: permission to reach millions of customers directly, in a domain those customers already care about, such as their money, their home, their car or their health. Almost all of that reach is spent on Sell and Notify: offers, confirmations, alerts and reminders. That is exactly the lane agents are taking over.

The relationship behind those messages does not disappear. An agent still needs trustworthy prices, terms and records from the brand, and it will reward brands that supply them cleanly. What disappears is the person’s attention to them.

Brands are losing the human’s attention for the messages they send most, and most have never built a message a human would choose.

4

Freed time does not belong to brands

Scarcer attention is more valuable and harder to earn at the same time.

There is a tempting version of this argument, and it has a flaw in the middle. It goes: agents free up human attention; people want experiences; brands should provide experiences; therefore brands win. The middle step is wrong.

If an agent clears the inbox chores, a person gains some minutes each day. Those minutes do not arrive with a brand’s name on them, and brands have no claim on the dividend. By default the time goes where attention already flows: short video, social feeds, games, messages with friends, creators people follow. These industries have spent twenty years engineering for attention, and they are very good at it.

So a brand’s Digest is no longer competing with other promotional emails. It is competing with everything else on the phone. The bar is the quality of good media, not the quality of a good campaign.

Most brand content does not clear that bar. A newsletter that is a catalogue in disguise will be summarised by the agent in a single line, “new arrivals, 20 per cent off, nothing urgent”, and the person will be right not to miss it.

Two disciplines follow. The reader, not the brand, should choose the frequency: a fund house may earn two visits a week, a grocer a weekend edition, a museum a season around an exhibition. And quality matters more as content becomes cheaper to make. A hundred generated facts do not make an experience. Someone still has to decide why a story matters, what makes a challenge fair and what the reader will carry away.

Brands do hold three advantages that media lacks. They already have the relationship. They operate in a domain where the customer has a stake. And they can reward with things only they can give: access, recognition, an experience tied to what the customer already owns. The question is whether they will use those advantages to build something worth choosing.

The opportunity is real, but it belongs to brands willing to be as good as media.

5

The doorman

People will not tell their agent to protect a brand. They will tell it to protect something they love.

Email has always had a delivery problem: spam filters, promotions tabs, sender reputation. The agent adds a second and more consequential gate. It decides what reaches the person at all.

That gate is already being built. Google’s AI Inbox, still in beta, reorganises email around to-dos and topics, and Google’s own help page says it surfaces information only from the Primary tab, leaving out Social and Promotions. That is one product’s rule, not a law that every agent will follow. But it shows the shape of the problem: a brand can be delivered perfectly and still never reach the person. Figure 2 shows the three fates of a brand message once an agent stands at the door.

Figure 2 — The doorman. The agent acts on transactions, summarises information and shows the person only what they have asked to keep.

One response will be to make every message sound urgent. It will fail. An agent serving the person will learn to discount manufactured urgency, just as mailbox providers learnt to reject spam.

What gets through the door is the principal’s instruction. And here the shift is subtle but important. A person is unlikely to tell an agent “always show me everything from my fund house”. They are far more likely to say: “Handle the fund’s paperwork, but don’t hide my investing Cards.”

The customer subscribes to the experience, not to the brand. In an agent-mediated world, it may be the person’s Album, their Set in progress, their weekly challenge with a friend, that earns a protected place in daily attention. The brand’s logo will not.

How many recurring experiences will each person protect? Nobody knows yet. I suspect few, but the number matters less than the mechanism. An agent learns what to surface from what its principal does and says. A customer’s engagement history may increasingly decide what their agent chooses to show them. That is the reason to start earning voluntary attention now: not because a door is about to close, but because every week of chosen engagement becomes evidence the agent will read. No position will be permanent, and a better experience can displace an older one. But every position starts with a record, and a record takes time to build.

Three implications follow.

Build explicit preference now. Let people say what they want and when. “My investing Digest on Tuesdays and Fridays” is a far stronger signal than a sender’s decision to send. Today it improves engagement. Tomorrow it is the instruction an agent can read.

Make subscriptions portable. A person’s Album, history and Sets should live beyond any single message and be reachable from the web and through other permissioned routes. Email is an excellent front door. It need not be the only room.

Do not design for one platform’s whitelist. The rules agents follow will change many times. A human preference, clearly expressed, is the one signal likely to survive every version.

There is a further reason to rely on the person’s stated choice. The doorman has its own business model to find. Instinct is free while in beta, and reports on its funding list advertising among its possible routes to revenue. A door that can be sold is a door brands should not depend on buying. The only reliable way through is to be something the principal asked for.

6

What survives the doorman

An agent can summarise what a Card says. It cannot summarise what you did to earn it.

Information alone will not survive. Any fact in a Digest can be retrieved by an agent in a second. If a brand’s relationship with its customers rests on information, the agent will absorb it.

What survives is participation history. Consider someone who has collected 37 of the 50 Cards in a Set about great investors, made predictions before each reveal, mastered 22 of them in recall challenges and traded duplicates with five friends. An agent can report that state. It cannot reproduce its value, because the value lies in having done it. That record is personal and cumulative, and it cannot be delegated without being destroyed.

That describes the destination sketched in The Next Turn. The starting line for NeoCards, as Issue a Collectible set it out, is simpler: get a Card, open it, keep it. Prediction, trading and Circles come later, as people show they want them. The argument holds at the starting line too, because even a Card kept is something the person chose and the agent did not.

This gives the Digest’s three blocks a sharper purpose.

Read must offer something a summary cannot replace. That is not only a matter of insight. A novel can be summarised in three paragraphs, a film reduced to its plot, a match to its score, and people still read, watch and follow, because the experience was the point. The test is not whether an agent can summarise the content. It is whether the summary can substitute for the experience. A story told well, a funny observation, a beautiful image or a surprising connection passes that test. A list of new arrivals does not.

Do must ask for the person’s own judgement: predict before the reveal, recall what you learned last week, choose between two possibilities, challenge a friend. These are expressive acts, not response signals.

Keep must mean that tomorrow differs because of what you did today: a Card owned, a Set closer to completion, a mastery that persists.

And the Album must belong to the person, not the brand. A fund house might issue an investing Set, a museum a history Set, a publisher a science Set and a parent a family Set, all collected in one shared Album. The issuer provides content and distribution. The person accumulates identity and history. That is far harder to displace than any single newsletter, and it gives the person something worth protecting from the doorman.

Figure 3 shows how one relationship can serve both readers.

Figure 3 — One relationship, two lanes. The fund house sends the agent facts it can verify and act on, and sends the person an experience worth choosing.

The agent receives what it needs: the SIP was processed, the portfolio value is updated, the KYC is complete, nothing needs action. The person receives a Brand Digest: which asset class did best over the past twenty years, a guess to make before the answer is revealed, a new Card in the 50 Great Investors Set, a friend to challenge. In a regulated category like this one, the human lane stays with learning and play: no wagers, no third-party offers, no investment advice dressed as entertainment.

The two lanes reinforce each other. MarTech 2027 made the point that a machine has no loyalty, but the person it serves does. A customer who values what a fund house teaches them is more likely to trust it, and that trust shapes the preferences their agent will follow when it next compares funds.

7

AI that makes people better, not idle

Most AI products remove the human. The better opportunity is AI that makes the human’s part more rewarding.

So far this essay has treated agents as gatekeepers or administrators. There is a third role, and it may be the most important. AI can make the human experience much better.

Consider a Card about a great investor. Today it carries a short biography, a famous idea and a question. With AI, the same Card can offer a two-minute challenge adapted to what I already know. If I answer wrongly, it explains the idea with an example drawn from my own situation rather than a textbook. A month later, it checks whether I still remember, and suggests a friend to challenge next.

Figure 4 — The same Card, three ways. AI makes the challenge personal and the learning lasting; the person still does the thinking.

The person still does the thinking. The AI makes the thinking more rewarding. That is the reverse of most agentic products, and a far stronger philosophy than trying to tell human clicks from machine ones. It is also the argument of When AI Gets Cheaper, What Gets More Valuable?: cheap intelligence becomes an input to an experience whose value comes from somewhere else.

The agent has a place here too, as an ally rather than a substitute. It can remind me that I am two Cards short of a Set, find the friend who holds my duplicate and arrange the swap. Instinct’s group chats, where one agent helps several friends agree a plan, show that such coordination already works. Logistics can be delegated. Achievement cannot. The agent must never make the prediction, earn mastery or claim recognition on my behalf.

There is a further loop. A person who learns about investing through a Set comes to know more, and what they know shapes what they ask their agent to look for. The human lane can inform the preferences through which agent-mediated commerce runs. That is exactly why it must never become covert persuasion: no hidden instructions to the agent, no nudges dressed up as lessons. The person’s autonomy is the value proposition. An experience used to steer the agent behind its principal’s back destroys the trust that made it worth protecting.

Two design principles protect the human lane.

Keep it Panini, not crypto. Cards should be earned through human acts and hold social, educational and sentimental value rather than resale value. The moment a collectible becomes a financial asset, bots arrive to farm, snipe and arbitrage it, as sneaker drops, ticket sales and NFT markets have shown. The motivation research adds a second reason: rewards that feel like payment can turn play into work. Rewards should recognise attention, not purchase it. The same test applies to Mu, the attention currency I have written about. Earned for completed acts and declared preferences, and shown as a record of progress, it recognises participation. Paid out simply for opening, it risks becoming the kind of reward the research warns about. Mu should be designed as the first, not the second.

Treat everything an agent reads as data, never as instructions. Any content a brand exposes to agents must be incapable of steering them. Researchers have shown repeatedly that text hidden in a web page or an email can redirect an AI agent, so the line is easy to cross. Brands that want to be trusted by their customers’ agents must be the first to respect the boundary.

8

The economics, in the right order

Earn the habit first. Price the attention later.

It is tempting to jump from “people participate” to “advertisers will pay a premium”. That jump skips two steps. The value of the human lane builds in three stages, each earning permission for the next.

Figure 5 — Three assets in sequence. Attention enables trust; together they make commercial value possible. The heights show order, not size.

Attention comes first: people return and take part by choice. Trust follows: the experience is useful, enjoyable, authenticated and hard to game, so people recall it, share it and tell their agents to keep it. Only then does commercial value become possible: sponsored Sets and in-email actions that produce measurable incremental results without damaging the first two.

The unit of account is the one Paid to Send. Paid to Keep. proposed: the Engaged Edition, meaning one person, one edition and at least one credible human action. With agents in the inbox, that unit matters more, because a message processed by software is not a message experienced by a person. It sits alongside Habit Rate, the measure Points Reward Purchases. Cards Reward Attention. proposed: the Engaged Edition counts what happens in each edition, and Habit Rate counts whether people keep coming back. One measures the visit, the other the habit.

Every CMO will ask one question here. If the Album belongs to the person and holds Sets from many issuers, who captures the value? Suppose a fund house funds fifty investing Cards, and the customer comes to love the Album and returns to it every week. Is the loyalty to the Album or to the fund house?

Both, and they must be measured separately. The Album earns the recurring visit. The issuer must earn attribution: recognition as the source, a reputation for knowing its category, trust and, in time, preference when the customer or their agent next chooses. Points Reward Purchases. Cards Reward Attention. made Issuer Recall a core measure for exactly this reason. If people remember the Cards but not who issued them, the brand has funded someone else’s entertainment. A brand will keep paying for Sets only if that benefit shows up against a holdout. Without it, the Album may still be a good consumer product; it will not be a brand-funded one.

Verified human attention is a prize, not yet a moat. As agents browse, click and buy, web traffic will fill with machine activity, and advertisers will trust impressions and clicks less. A person answering a question, making a prediction or keeping a Card sends a stronger signal than an open. It is not proof: agents can answer questions too. Any billing standard must rest on authentication, fraud checks and auditable evidence, not on a claim of perfect verification. And even real human participation commands a premium only when it reaches relevant people and produces results an advertiser can measure. The premium has to be demonstrated before it is priced.

For every brand, the strategic choice comes down to two lanes. Make Sell and Notify legible to agents: clean offers, honest terms, clear permissions, verifiable provenance. Make the Digest worth returning to as a human: things to read, do and keep. The two lanes share an identity but not a success metric. One relationship, two ways to serve it.

Neither lane can rescue a weak product. When the customer’s agent compares options, it reads the factual record: price, terms, returns, service history. A clever Set will not hide a poor one. Affection may earn consideration. Operational truth decides whether the brand is chosen.

One guardrail belongs here. The goal is not to extract as many minutes as possible from people. That is the logic of the feed, and it is the logic personal agents may help people escape. Let people choose their days and pause at will. Prefer learning remembered a month later to time spent in the email, and an unprompted invitation to a friend to a manufactured share button.

The brands that win will be those people choose to spend time with, not those that take the most of it.

9

What would prove this wrong

The architecture is elegant. Only the cohorts can say whether it is right.

Every claim in this essay can be tested, and most within a single quarter, using concurrent, randomised cohorts rather than last year’s numbers as the baseline. The test runs in two stages, because the product contains two kinds of experience.

Cards, Sets and adaptive explanations are individual experiences, and can be randomised person by person. Circles and trading are network experiences: their value depends on who else takes part. Randomise people individually and the social cohort may look weak only because its members have no one to trade with. Let them mix freely and the controls are contaminated. So the first stage tests the individual product, extending the three-arm test in Points Reward Purchases. Cards Reward Attention. with an arm for AI, and the second randomises existing groups, such as families, friends or colleagues, rather than individuals.

Stage	Cohort	What it receives	What it tests
1	Control	The brand’s existing emails	The baseline
1	A	Brand Digest: Read and Do	Does a better publication earn return?
1	B	A plus Keep: Cards and Sets	Does ownership strengthen the habit?
1	B + AI	B with adaptive Cards	Does AI improve enjoyment and learning?
2	Groups	B, randomised by existing group, with or without Circles and trading	Does belonging strengthen the habit further?

Table 1 — The pilot in two stages. Individual features are randomised by person; social features by group.

Measure Habit Rate and repeat voluntary participation at weeks 4, 8 and 12; returns to the Album without an email prompt; recall after a delay; unsolicited shares; Issuer Recall and brand preference; and attention decay against the control. Keep transactional emails identical across cohorts and add no new promotional incentives.

Ask people whether they would tell their agent to always show them this, but treat the answer as intention, not behaviour. The stronger evidence is what they do: subscribe explicitly, choose a schedule, come back unprompted. As agent use grows, add one more comparison: readers whose inboxes are largely agent-mediated against similar readers without that mediation.

Six results would weaken or kill the thesis.

People do not protect it. Few choose a schedule or return to the Album unprompted. Then the experience is something people open when it appears, not something they choose.

Keep adds nothing. Cohort B shows no better voluntary return than Cohort A by week 12. Then ownership is decoration, and the Digest must succeed as a publication alone.

AI adds interaction, not value. Adaptive Cards produce more taps without better learning or enjoyment. Then the AI is optimising the wrong outcome.

People delegate the experience too. Users happily let agents collect, trade and complete on their behalf. Then even objects can be absorbed, and the human lane is narrower than I think.

The issuer gets nothing. Participation rises, but Issuer Recall, attention decay, dormancy and incremental customer value do not move against the holdout. Then the Album may be a worthwhile consumer experience without being a brand retention tool. That would be a valid finding, not a failure to conceal.

People do not want relationships with brands. However good the design, most people reject ongoing relationships with most brands. A person-owned Album shared across many issuers is the strongest answer to this risk, because people collect what they love from whoever issues it. But it is an answer, not a guarantee.

The wider category test runs alongside the one in The Inbox Has Two Readers, scored on 31 December 2028. If personal agents remain niche, the doorman argument weakens. The attention argument does not: the Digest still competes with everything else on the phone.

**

There are two ways AI can give us back our time. One is to do what we previously had to do. The other is to help us do more of what we love doing. Almost every company in the agent race is building the first. Very few are building the second, and brands, with their direct relationships and their permission to reach people every day, are better placed than most to try.

Agents will clear the inbox. The winners will build what humans choose to come back for.

In the age of artificial intelligence, the most valuable products may be those that make us want to use our own intelligence.

Published October 28, 2026

Growth is not a number to target. It is an equation to improve.

Marketing plans for 15% because it asks for better execution. Ask instead what it would take to double each of four levers, reach, attention, action and value, and the answers change. This essay is about that shift: from 15% moves to 10X moves, who should be paid for making them, and how to prove they work.

1

The 15% Trap

It is October, and somewhere a leadership team is building next year’s marketing plan. The spreadsheet opens with last year’s actuals. The CRM team expects the database to grow by 12%. The email team promises a two-point lift in click rates. The engagement team has a new journey that should improve conversion by a tenth. Retention commits to trimming churn. Finance adds it all up, tests it against the budget, and the plan lands where plans usually land: 15 to 20% growth, funded by more campaigns, more automation and a larger technology budget.

Nothing in that plan is wrong. Every number is defensible, and every team has done its homework. Yet the plan is built to produce a small answer. The plan is small because the question is small. Ask a team for 15% and it will find 15%, by doing what it already does a little better.

The first problem is the starting point. Budgets begin with last year, so teams are asked how much better their part of the machine can get, not whether the machine is the right shape. Email optimises sends and clicks. Engagement optimises journeys and conversions. Acquisition optimises cost per customer and return on ad spend. Each improvement is real, and each is measured on its own dashboard. None is asked how it combines with the others.

That leads to the second problem: fragmentation. Reach belongs to one team, engagement to another, conversion to a third, retention to a fourth. They report to different leaders and are rewarded against different goals. Nobody owns the multiplication. Worse, a local win can damage the whole. A promotional calendar that sends harder lifts this quarter’s conversions and quietly erodes the attention next quarter depends on. A discount that lifts transactions thins the margin each transaction earns. Every team hits its number, and the business gets less than the sum.

The third problem is the database illusion. Brands count registered users, subscribers and customer records as assets. Many of them are no longer reachable in any useful sense: emails go unread, app users have not opened the app in months, customers have quietly moved on. As I argued in From Messages to Media, a database is not an audience. The number that matters is Real Reach: the people who have engaged with the brand in the last ninety days, set against the size of the list. For most brands the gap is large. The cost of that gap arrives later, in the paid-media budget, when the brand buys back customers it once had and pays a second time for a relationship it let lapse. I measure that as REACQ%: the share of customers bought through paid media who were already the brand’s customers.

The fourth problem sits underneath the other three. The technology and services marketing buys are paid in ways that reinforce the trap. Email platforms charge per message. Engagement platforms charge per contact or per active user. Agencies charge for activity. Ad platforms charge for paid reach. Each model rewards improvement inside its own category. None is rewarded for changing the economics of the customer relationship as a whole. I will come back to this, because I run one of these companies, and our pricing is part of the problem.

So change the question. Instead of asking how to grow 15% next year, ask how much of the value your existing customers could create you are realising today. Count every visitor who browsed and was never identified, every subscriber whose attention faded, every cart left behind, every form left unfinished, and every purchase made at a discount it did not need. In most businesses, that unrealised value is not a rounding error. It can be several times what the business earns from its customers now, and most of it needs no new acquisition spend at all.

This essay is about one shift: from a 15% mindset to a 10X mindset. Not 10X as a forecast, but 10X as the question that forces different moves.

Marketing has been planning with addition. It should be planning with multiplication.

2

Think in Doublings

Two times two times two times two is sixteen. Four doublings make 16X. Fall short on every one of them, and the product still lands somewhere near 10X.

The arithmetic is the least interesting part of that sentence. Whether a team finds 70%, 80% or 100% in any one place matters far less than what the target does to the team. A 15% target asks for better execution. A doubling asks for a different idea.

Ask an email team for 15% more revenue and it will refine what it already does: sharper subject lines, better send times, one more promotion in the calendar. Ask it to double how often customers give the brand their attention, and none of those moves gets close. The team has to ask a different question: why would anyone come back between purchases? That question leads somewhere new. The same is true of every lever in the business. A doubling cannot be reached by tuning, so it forces the search for a new move.

I should be clear that doubling anything in a mature business is hard. This essay does not argue that 10X is easy. It argues that most plans never look for it, because they are not organised around the levers that multiply.

Figure 1. Four doublings make 16X; even falling short on each lands near 10X. A 15% plan lands at 1.15X.

So what are the levers? For any business that lives on its relationships with customers, I would write the equation like this:

Customer value = Reach × Attention × Action × Value

Measure all four for the same customers over the same period, with value counted as contribution rather than revenue. Each lever asks one question and exposes one leak.

Reach asks how many people we can meaningfully serve. Not records in a database, but known, permissioned people the brand can reach: Real Reach, not list size. The leak is anonymous visitors who are never identified, app users with no contact route, customers with incomplete details, and former customers whose relationship has gone quiet.

Attention asks how often those people give us their attention: reading, browsing, responding, returning, voluntarily. A tracked open is weak evidence, because many opens are now registered by machines rather than people. The leak is attention that decays between purchases because the brand speaks only when it wants to sell.

Action asks how often attention becomes action: completed purchases, applications, bookings and sign-ups. The leak is abandoned carts, unfinished forms, failed searches and journeys with one step too many.

Value asks what each action is worth in contribution, after discounts, costs and returns. The leak is transactions bought with discounts they did not need, thin baskets and missed cross-sells.

In plain words: more people, more often, doing more, worth more.

Figure 2. One equation, four levers, a leak at each. Email earns attention and acts in the inbox; engagement converts across site and app.

The equation is easy to misuse, so one discipline belongs right next to it. The four levers multiply on paper; the moves that pull them do not act independently. Bring dormant customers back into reach and attention per person may fall, because the people you add are less engaged than the people you had. Pay people merely to open and you get more opens from less interested people, which is why rewards should follow completed actions rather than taps. Lift conversion with discounts and value per action shrinks. A good plan pulls each lever in a way that does not push another one back.

Headroom also differs. A neglected programme may have large gaps in three levers; a well-run one may have a gap in only one. The point of thinking in doublings is not to assume every lever can double. It is to ask the doubling question of every lever, and see which ones have an answer.

Asking is the easy part. The harder part is knowing what the 10X moves look like.

3

From 15% Moves to 10X Moves

Every lever can be pulled in two ways. There is the 15% move, which does what the team already does a little better. And there is the 10X move, which changes what the team does. Most marketing plans are made almost entirely of 15% moves.

The previous essay, 10+1 Email Innovations: Pipe to Product, Messages to Money, set out the innovations that turn a single email from a delivery into an action, scored in five stages per thousand emails delivered. This essay steps back from the email to the customer. The innovations are the same; here they appear as moves on four levers, and the score is the whole relationship rather than one send.

Figure 3. Same four levers, different moves. The 15% move refines existing work; the 10X move changes it.

Two engines make the 10X moves: email and customer engagement. They are sold as different categories of software, bought by different teams and reported in different meetings. The customer does not see categories. She sees one brand, reaching her in her inbox, on its website and in its app. The two engines are better understood as two instruments acting on the same four levers.

On Reach, the 15% move is to buy more traffic or add another sign-up pop-up. The 10X move is to identify who is already there. Engagement can recognise far more of the visitors and app users who arrive than most brands bother to. Email can capture contact details from transactions and service interactions, and reawaken quiet relationships before the brand pays to acquire new ones. The test is whether Real Reach rises and REACQ% falls.

On Attention, the 15% move is sharper subject lines and better send times. The 10X move is to give people a reason to return between purchases: a recurring Digest with something useful to read, a small poll or quiz, collectable NeoCards that reward the next open. As I argued in The Next Open, every email has two jobs, and the second is to make the next one more likely to be opened. This is where email leads, because the inbox is where attention can be earned every day.

On Action, the 15% move is to test another button or send another reminder. The 10X move is to put the action inside the message, so the customer can say Yes, Pay or Tell without leaving the inbox. That was the central claim of the 10+1 essay: email no longer only earns attention; it increasingly completes the action. On the site and in the app, engagement carries the rest, with agentic decisioning choosing the next best step for each person. Agents should be judged by the outcomes they create, not by the number of campaigns they generate.

On Value, the 15% move is to deepen the discount or push another promotion. The 10X move is to protect contribution: sell at full price where the customer did not need an incentive, recommend with margin in mind, and build better baskets. For publishers, much of Value comes from advertisers and sponsors rather than purchases. The equation in How Publishers Can 10X Their Revenue, subscribers × newsletters per reader × engagement × yield, is the same four levers in a publisher’s terms.

Email earns attention and increasingly completes the action. Engagement converts it across site and app.

Consider how this can work for one customer. Ishita has not visited a fashion brand’s site in three months. She has not complained or unsubscribed; she has simply drifted, the way most customers do long before any report calls them dormant. That drift is the subject of Before the Slide. On Sunday, she receives the brand’s weekly Digest: a short, useful read with a two-question poll at the end. She answers it. Her answer tells the brand something it did not know: she has moved to a colder city.

Her next visit, from a Digest link, opens on outerwear for her new city rather than the summer range she browsed months ago. She adds a coat to her cart, is called away, and leaves. The next morning, an email lets her complete the purchase inside the message, at full price. She is back, and in this telling no advertisement had to buy her back. Whether that holds across thousands of customers like Ishita is exactly what a holdout group is for.

Each step pulled a different lever. The Digest restored Attention. The poll refreshed what the brand knew about her. The recommendation lifted Action. The full-price purchase protected Value. And because she stayed, she remains within Reach.

This is why the two engines belong in one plan. Coordinated, the levers reinforce each other across channels. Email attention feeds engagement sessions, and what engagement learns sharpens the next email. Uncoordinated, the same two engines duplicate messages, tire customers and contradict each other’s offers. A brand that runs them as separate programmes gets the second outcome by default.

Two clarifications keep the model clean. Retention is not a fifth lever. A retained customer stays within Reach and keeps returning, which shows up as Attention and Action; counting retention separately would count the same gain twice. Likewise, Digests, agents and recovery programmes are not levers. They are the moves that pull them.

If these engines can create this much value, a question follows. Why are the companies that sell them still paid for the inputs?

4

Who Gets Paid for Which Lever

Most marketing technology is paid for activity: per message, per contact, per active user, per licence. These models built large, durable businesses. They also set a ceiling, on the vendor and on the brand. A partner paid per send is paid on volume, not on the equation. It gains when the list grows or the brand sends more. It has no stake in Attention, Action or Value.

It is worse than indifference. Call it the attention paradox. When attention improves, a brand needs fewer reactivation campaigns, fewer reminders and fewer win-back sequences. Under per-send pricing, the vendor is paid less for doing better. It should surprise no one that vendors on that model rarely push hard on attention.

A vendor’s business can be described in four revenue streams that mirror the brand’s four levers:

Vendor revenue = Volume + Attention + Actions + Outcomes

The names are deliberate. Each stream is priced at a different depth of the customer’s equation, and so each gives the vendor a reason to care about a different amount of the customer’s growth.

Figure 4. The capture ladder. The deeper a partner is paid, the more of the customer’s equation it has a reason to improve.

A partner paid on volume cares about Reach and little else. A partner paid per verified attention event cares whether customers keep coming back. A partner paid per completed action also cares whether that attention turns into purchases, bookings and applications. A partner paid a share of verified gain cares about all four, including whether each action makes money.

The further down the equation a partner is paid, the more of your growth it cares about.

Outcome pricing needs structure, or it becomes an argument. In The Alpha Playbook I described it in three parts. Beta is the contribution the brand would have earned anyway, agreed before the work begins. Alpha is the verified contribution above it. Carry is the partner’s negotiated share of Alpha. Price then follows value rather than volume, the shift I described in Paid to Send. Paid to Keep.

There is a trap to avoid here. A brand that creates 10X more value does not owe its partners 10X more money. The partner has to prove its contribution against what would have happened without it. It should take a minority share. And it must never charge twice for one outcome: a recovered customer may generate a send, an active user and a completed action, each a fair charge, but the brand’s gain from that customer is counted once.

Two facts make outcome pricing workable. First, the money does not come from the martech budget. No CMO will pay ten times a software invoice out of a fixed technology line. Outcome fees are paid from profit that would not otherwise exist, and for publishers, attention can be funded partly by advertisers. The budget ceiling that caps the martech industry does not apply to a share of new profit. Second, the brand keeps most of the gain. If a partner takes a fifth of the Alpha, the brand keeps four-fifths of money it was not making before.

The costs are real, and vendors should state them. Outcome revenue is lumpier than subscription revenue. Media revenue is shared and earns thinner margins. Attention products need real demand from brands and advertisers, not assumed demand. Above all, vendors have to become different businesses: running programmes, measuring incrementality and waiting to be paid until the result is proven. Relabelling old features does not count.

The 10X mindset applies to the vendor too. The 15% move for a martech company is to sell a bit more volume to each customer each year. The 10X move is to be paid for helping the customer pull all four levers.

For the brand, this becomes one question to put to every partner: what are you paid on, and which of my levers does that make you care about?

Aligned incentives make the promise plausible. They do not make it true.

5

The 10X Test

A doubling mindset is not a forecast. What turns it into an operating model is a discipline in four parts: an audit, a short list of moves, experiments that prove them, and a clear statement of what would show the idea to be wrong.

It begins with an audit. The brand and its partner look at all four levers in the brand’s own data, not industry benchmarks. How far is Real Reach below the size of the list? How many of the customers bought through paid media were already customers? Where does attention fade? Where do actions fail? Where does value leak away in discounts and returns? The answers differ from brand to brand. One has a Reach problem: most of its traffic is never identified. Another has an Action problem: interest is high and checkout loses it. A third converts well but at thin margins. The aim is not to double every lever. It is to find the levers where a 10X move exists.

Figure 5. Illustrative headroom assumptions. Uneven across levers, roughly 6X before interactions and testing.

In the illustration in Figure 5, the assumptions imply something like 6X, not 10X, and that is before the levers’ effects on one another are tested. That is a perfectly good answer. A brand that finds even a few-fold opportunity in its existing customers has a very different plan from one that started at last year plus 15%.

Next comes the short list. Pick the two moves with the most headroom and the strongest evidence, and test them over a quarter. Before anything starts, agree the baseline, the eligible customers and a holdout group that keeps receiving today’s experience. A recurring Digest might be tested for its effect on attention and on the purchases that follow. A next-best-action engine might be tested against the brand’s existing journeys. A recovery programme might be tested against both doing nothing and buying the same customers back through paid media.

Then the standard of proof. A message that arrived before a purchase did not necessarily cause it. A customer who returned after an email might have returned anyway. Gains have to be measured against what would have happened without the move, which is what the holdout is for. They also have to be measured in contribution, not gross revenue. Doubling transactions through incentives can look like growth while destroying value.

Finally, the essay owes its readers the conditions under which it is wrong. The four-doublings strategy fails if, across many brands, audits find 10X moves in fewer than two levers. It fails if gains in one lever are routinely cancelled by losses in another: attention falling as reach expands, or conversion rising only as margins fall. And it fails if partners cannot create enough verified gain to justify outcome fees. Any of those findings would not make ambition wrong. It would mean the big opportunity sits in one or two levers rather than four, and the plan should be built around those.

If those conditions do not hold, planning changes. It starts with the four levers instead of the budget. The team asks the doubling question of each lever, lists the 10X moves, ranks them by evidence and funds the ones with the best expected contribution. Marketing becomes organised around the economics of customer relationships rather than around campaigns, channels and tools. Its partners change role too: from delivering activity and reporting engagement to finding opportunities, running the moves and sharing in the gains they can prove.

Return to that planning meeting, a year from now. The spreadsheet opens differently. Instead of last year plus 15%, it opens with four questions. What would it take to double the customers we can reach? To double how often they give us their attention? To double how often that attention becomes action? To double what each action is worth?

The answers will not always add up to 10X. But they will show where growth is hiding, and they will produce moves that a 15% plan would never have considered.

Ten times growth is not a forecast. It is a different way to ask the question. The old plan began with a budget, divided it among channels and hoped the improvements would add up. The new plan begins with customer economics, asks the doubling question of each lever and tests how far the answers compound. For brands, the prize is more value from relationships already earned. For the companies that serve them, it is the chance to be paid for helping create it.

Growth is not a number to target. It is an equation to improve.

Published October 27, 2026

Ten innovations improve the email. The eleventh changes its economics.

Every email marketer watches the same three numbers: delivered, opened, clicked. Most programmes are run to move the last of them. Subject lines are tested, buttons recoloured, send times tuned, all in service of getting the customer to leave the email and go somewhere else.

For twenty-five years, email has been a pipe. It is priced on delivery, judged on the click, and bought by procurement on unit cost, so every improvement to it is hard to charge for. A pipe carries messages. A product does work, remembers, and earns. This essay is about turning one into the other.

It argues that the click was always a proxy, and is increasingly the wrong one. It sets out eleven innovations. Ten make each email do more work. The eleventh changes what email is worth. None of them requires a new ESP, a new CRM or a rebuilt journey. They need a different scoreboard.

PART I

The Click Was the Leak

1

The wrong scoreboard

A lower click-through rate can be the better email.

For twenty years, the logic of email has been that its job is to send the customer elsewhere, to the website or the app, where the business happens. But every click is a journey: a new tab, a page that loads slowly, a login, a cart that has forgotten what it held. Intent decays on the way. The click is not where the value is created. It is where the value leaks.

Consider two emails sent to comparable audiences of 100,000 customers. Email A drives 1,000 clicks and 100 purchases. Email B drives 500 clicks and 200 purchases, many of them completed inside the email. On the dashboard most marketers watch, Email A wins with twice the click-through rate. On the P&L, Email B wins with twice the purchases. Calling Email A the winner rewards friction.

Figure 1. The dashboard and the P&L disagree. Illustrative numbers.

This essay follows two shifts. The first is from clicks to actions: the email becomes a place where things get done, and more revenue is generated through email. The second is from cost to revenue: the attention email earns becomes an asset in its own right, and revenue is generated from email, beyond the brand’s own sales. Ten innovations deliver the first shift. The eleventh delivers the second.

Both need a new scoreboard. The measure that matters is actions and revenue per 1,000 emails delivered. Click-through rate stays on the dashboard as a diagnostic; it stops being the promise. And actions are counted by type. A quiz answer is not a payment, and a scoreboard that values them equally will reward the wrong behaviour.

2

Five stages

Every email has to win four times. The best can win a fifth.

Each stage is a gate, and each gate loses people. Most programmes optimise one of them, usually the open or the click, and treat the others as somebody else’s problem. The 10+1 innovations are organised around five stages: Get Seen, Get Opened, Get Action, Get the Next Open, and Get Paid.

The first four apply to every email a brand sends. The fifth applies only where the brand has earned recurring attention and where carrying a partner’s action is appropriate; a bank alert should never carry one. The stages are expanding sources of value, not a checklist every message must complete.

Before the first gate sits the foundation: a verified, permissioned address the brand can reach. Many Indian brands hold far more mobile numbers than verified email IDs. Collecting and verifying email addresses at every touchpoint, on the site, in the app, in the store and in messaging, grows the base on which everything else works. The honest measure of that base is Real Reach: the share of the list that has engaged in the last 90 days, not the size of the list. A brilliant email sent to an address that cannot be reached has no economics at all. I made the economic case in The Small Waste That Can Kill the Big Waste.

Figure 2. The 10+1 mapped onto the email: the envelope, the body, the relationship, and the economics.

3

Get Seen and Get Opened: innovations 1–4

The envelope is the first product the customer sees.

Before any content is read, the customer sees a sender name, perhaps a logo, a subject line and a line of preview text. That is the envelope, and four innovations work on it.

1. NiVO improves measurable inbox placement. Delivery to a mail server is not the same as placement in the part of the inbox a person uses. NiVO tracks where emails land across mailbox providers and acts on what it finds. Primary-inbox placement cannot be guaranteed. It can be measured, and what is measured can be improved.
2. BIMI puts the brand’s verified logo beside its name in supporting inboxes. In an inbox full of impersonation, it signals that the email is real. It rests on the same authentication discipline, with SPF, DKIM and DMARC enforcement, that eligibility for interactive email depends on. BIMI is not a prerequisite for interactive email, but the groundwork serves both.
3. Pre-header becomes a second subject line. Instead of “View in browser” or a repeat of the subject, it carries something specific to today: the day’s Magnet, a live price, a new card waiting to be opened.
4. Mu in Subject puts accumulated value on the envelope. Mu is an attention currency, points earned through engagement with previous emails. A small number in the subject line, the customer’s own balance, tells them that this email holds something already theirs. It is a reason to open that does not depend on a discount. The value must be real and understandable, not a badge designed to provoke a tap. The mechanics are set out in Email’s Next Act: The Attention Architecture.

PART II

Inside the Email, and the Next One

4

Get Action: innovations 5–8

The action happens where the attention already is.

5. Living Email changes when the email is written. A conventional email is composed at send, with prices, stock and offers frozen hours or days before it is read. A Living Email fetches its content at open: today’s price, what is in stock now, the offer still valid. Live images and fetched values refresh in many clients, subject to image proxies, caching and blocked images. Where the client supports AMP, as Gmail and Yahoo do, a second capability follows: the customer browses, chooses and responds inside the message. These are distinct capabilities, and neither works everywhere. The static version is designed first, and the richer experience is an enhancement, never a reason to strand the rest of the list. I described the shift in What Changes When Emails Are Composed at Open, Not Send.

The next three innovations are verbs.

6. Yes-in-Email makes decisions one tap: confirm the delivery slot, renew the subscription, approve the request, grant the permission.
7. Pay-in-Email shortens the path to money. Sometimes the payment completes inside a supported flow; more often the email starts a secure UPI or gateway approval that completes elsewhere. The gain is in every step removed before it.
8. Tell-in-Email collects zero-party data: preferences, sizes, interests, a three-question survey, declared in the message rather than in a form the customer never visits.

Each verb maps to a different business use and often a different buyer: operations for Yes, revenue for Pay, data and personalisation for Tell.

The easiest place to start is not the promotional campaign. It is the transactional email: renewal notices, bills, delivery updates. These are already opened, often more than once. A renewal notice can offer Yes, a bill can offer Pay, a delivery update can offer Tell. Adding Yes, Pay and Tell to emails customers already read is the fastest route to more actions per 1,000 delivered. The additions should reduce effort and improve service, not smuggle unrelated marketing into messages the customer needs.

5

Get the Next Open: innovations 9–10

Disposable email starts every send from zero. Accumulating email starts where the last one ended.

Innovations 1 to 8 improve an encounter. They say nothing about whether the next one will happen. Almost every marketing email is disposable: once read, it gives the recipient no reason to care about yesterday’s email tomorrow. Nothing carries over, so every send has to win attention from scratch.

The alternative is an email that accumulates: memory of what the customer did, progress towards something they care about, preferences they declared, and value they earned. A useful publication and a trusted brand earn repeat opens too; innovations 9 and 10 are the mechanisms that make accumulation visible. I developed the argument in From Messages to Media.

9. Magnets + NeoCards are the first mechanism. A NeoCard arrives with the email: the reader gets it, opens it and keeps it. It is a small object worth keeping, part of a set that accumulates in an album the customer owns. A Magnet is a short interaction, thirty to sixty seconds, that leaves the reader better off: a question, a puzzle, a prediction, a fact worth repeating. A Magnet can add to the collection, but a card never requires one. Across editions, the set develops gaps, progress and a reason to return. The idea is developed in Points Reward Purchases. Cards Reward Attention and NeoCards: Objects Worth Keeping.
10. Mu for Actions + Ledger is the second. Meaningful actions earn Mu under clear rules, and the Ledger records what was earned, spent and accumulated, so each email remembers the last. The subject line made a promise; the Ledger keeps it. The incentive design has to separate participation from value. Mu rewards completed actions, declared preferences and durable return, with checks for gaming. If points are granted for empty taps, the system buys empty taps. The memory loop is described in The Living Email That Remembers.

6

Two programmes put them to work

Innovations improve emails. Programmes improve relationships.

The ten innovations improve individual emails. But the best promotional email cannot create a need the customer does not have. Most of the time, most customers are not shopping. And some have stopped reading altogether. Two programmes address these two problems.

The Brand Digest is for customers who are engaged or beginning to fade. It is a small publication from the customer’s world, sent under the brand’s name: a few things worth reading, one thing to do, and something to keep. A travel brand curates places; a bank explains money; a grocer explores food. The reader chooses the cadence, and the Digest can be produced as a managed publishing service rather than one more demand on a stretched CRM team.

Its commercial job is attention retention. It keeps the brand familiar when there is no purchase intent, keeps the audience responsive, produces fresh first-party signals from what readers choose and answer, and builds the recurring attention on which ActionAds later depend. The most valuable email a brand sends this month may produce no purchase at all, and still keep a customer reachable six months from now. Its proof is Habit Rate, the share of readers who open at least 60% of the editions they chose over four weeks, together with brand recall. Four illustrations across categories are in Between Purchases: Four Brand Stories.

Recover is for customers whose attention has already gone, and they are not one group. Some no longer need the category. Some have switched brands. Some have changed address or withdrawn permission. Some will respond to a useful service message; some should not be contacted at all. A Digest sent to a dormant list at its normal cadence, week after week, would damage the deliverability that every other email depends on.

So Recover is a set of interventions, not a fixed journey. Eligibility, suppression, consent and economics decide who enters and what each customer receives. One rule holds throughout: a dormant customer never receives open-ended Digest cadence. Any recovery sequence in the brand’s own channels is time-boxed, limited to eligible customers, and ends with a hard exit rule for those who do not respond. Beyond the brand’s own channels, a cooperative partner’s email can reach the customer where agreements and consent allow, and the ad auction comes last. What Recover insists on is not a path. It is that a dormant customer gets a recovery strategy before the brand pays automatically to buy them back.

Table 1. Customer state, programme and outcome

Customer state	Programme	Outcome
Engaged	Sell, Notify and the Brand Digest	More transactions and higher lifetime value
Fading	Brand Digest	Attention held before it disappears. Never Lose Customers.
Dormant	Recover: eligibility first, then a time-boxed sequence with a hard exit rule	The relationship restored before paying adtech. Never Pay Twice.

The order of cost is fixed. Retaining is cheaper than recovering, and recovering is cheaper than reacquiring. Every customer the Digest keeps never needs recovering. Every customer Recover brings back never has to be bought back. I set out the three lines of defence in Before the Slide.

PART III

The Eleventh

7

Get Paid: ActionAds

Ten innovations improve the email. The eleventh changes its economics.

Everything so far makes email produce more revenue through it. The eleventh makes revenue from it. This is the second shift: from cost to revenue.

Once a Digest earns habitual attention, that attention is an asset. ActionAds (the +1) place one approved partner action in an email. Not a banner, an action: a sign-up, a quote, a sample, a booking, completed in the inbox with the same mechanics as Yes, Pay and Tell. The partner pays for the action. Email moves from a line that only costs money to one that can carry its own costs.

Consider a travel brand that publishes a weekly Digest about the places its readers want to go. A luggage brand sponsors one action in it: find the right cabin bag for the trip the reader is planning, and claim a fitting. The travel brand earns from an audience it has built, on a day it sold no trip. That is publisher yield, and it is the immediate proposition.

The guardrails are part of the product, not fine print. There is one ActionAd per email, clearly labelled. Category whitelists mean a brand never carries a competitor or anything it would not endorse. Complaints, unsubscribes or falling engagement beyond agreed thresholds trigger an automatic pause. ActionAds stay out of service and regulated communications. Attention is what is being sold; anything that erodes it destroys the inventory. And ActionAds belong in the Digest, where attention has been earned, not in a promotional email where they would compete with the brand’s own offer.

Figure 3. The two shifts: revenue through email, and revenue from email.

The same rail runs in the other direction. A brand could reach its own dormant customers through a partner’s opted-in publication, one to one, before paying an auction to find them, subject to secure identity matching and strict privacy controls. That is advertiser recovery. It is a different business from publisher yield. It starts small and earns its scale through supply, governance and proof. The economics are developed in Paid to Send. Paid to Keep. and Your Customer, Someone Else’s Attention.

8

How to start

Nothing here requires a new ESP, CRM or journey.

The first step is a diagnostic: which of the eleven is the programme using today? Most will recognise two or three. The rest becomes a ladder, run alongside the current programme rather than replacing it.

Table 2. The adoption ladder

Step	What changes
Start	Email ID collection, NiVO, BIMI, Pre-header and Mu in Subject. More from existing campaigns.
Upgrade	Living Email, Yes, Pay and Tell in one or two high-intent uses, beginning with renewals, bills and confirmations.
Transform	Magnets, NeoCards and the Mu Ledger in a Brand Digest; ActionAds tested only once recurring attention exists. Recover runs on its own protected cohort, with its own sending rules and measurement.

The commercial terms follow the ladder. The foundation and the Start innovations are sold conventionally. Contracted programmes are priced on outcomes, against a pre-agreed baseline, with randomised holdouts and payout rules agreed in advance: no lift, no bill. Never Pay Fixed. That applies to the programmes, not to every technical innovation.

Banks and other regulated senders keep the same framework with different mechanics: institution-approved rewards in place of Mu, an educational Digest and secure service actions as the starting point, and no partner actions in account communications.

9

What would prove this wrong

The system earns the right to scale only when the holdout agrees.

There is no shortage of beautiful email demonstrations. The useful question is what evidence would make us stop. Each stage asks one question, and each question has a failure signal.

Table 3. Five questions, five failure signals

Stage	The question	Failure signal
Get Seen	Did more emails reach a usable inbox?	Placement flat in seed and panel tests
Get Opened	Did more real customers engage?	Opens rise only through machine-generated opens
Get Action	Did completed, valuable actions increase?	Actions per 1,000 delivered no better than the holdout
Get the Next Open	Did repeat attention and brand memory improve?	Habit Rate flat, or engagement up while brand recall stays flat
Get Paid	Did net revenue rise without eroding trust?	Complaints rise, Habit Rate falls, or incremental margin is negative

The evidence standard differs by claim. Revenue, retention and monetisation claims need a concurrent randomised holdout, never a comparison with last quarter. Placement claims need technical measurement and controlled comparison.

Some failures call for redesign rather than retreat. A static version that performs as well as the interactive one is not a failure of email; it is a warning against paying for complexity. Mu that produces shallow actions should be redesigned. ActionAds that consume the attention they monetise should be stopped. And one failure cuts across every stage: if Recover damages inbox placement, it costs the reputation every other email depends on, even if a few lost customers return. That is the condition under which the whole programme stops, not just the part that caused it.

From pipe to product

Read together, the 10+1 describe more than a better campaign. They turn the pipe into a product. Yesterday’s email was a message: it informed, and its success ended at the click. Tomorrow’s email can be four things at once. It is still a message that is seen and opened. It becomes an application that completes the decision, the payment or the declaration. It becomes a relationship that accumulates memory and earns the next open. And where attention has been earned and it is appropriate, it becomes a medium that creates new revenue.

Figure 4. From pipe to product: what the 10+1 add up to.

That is a larger claim than better click-through rates, and a more useful one. It does not ask marketers to send more email. It asks every email they already send to do more work, for the customer and for the brand.

Yesterday’s email was a message designed to get a click. Tomorrow’s can be an application that completes an action, a relationship that earns the next open, and a medium that creates new revenue.

Key points

• Email has been a pipe, priced on delivery and judged on the click. The 10+1 turn it into a product that does work, remembers and earns.
• A lower click-through rate can be the better email. The new scoreboard is actions and revenue per 1,000 delivered, counted by type.
• Every email has to win four times: Get Seen, Get Opened, Get Action, Get the Next Open. The best can win a fifth: Get Paid.
• Innovations 1–4 work on the envelope; 5–8 move the action inside the email; 9–10 make email accumulate rather than disappear.
• The Brand Digest retains attention between purchases (Never Lose Customers). Recover gives every dormant customer a time-boxed recovery strategy, with a hard exit rule, before the auction (Never Pay Twice).
• ActionAds, the +1, turn earned attention into revenue from email. Publisher yield comes first; advertiser recovery is a later network business.
• Start conventionally; contract programmes on outcomes (Never Pay Fixed); scale only when the holdout agrees.
• From pipe to product: email becomes message, application, relationship and medium at once.

Published October 26, 2026

Relationship Media and the Shift to Attention Routing

What happens when a brand knows exactly which customer action should happen next, but no longer has that customer’s attention?

Every brand knows more about its own customers than any advertising platform does. It knows what they bought, what they nearly bought, what is about to expire and what should logically happen next. And every brand has a growing share of customers who no longer hear it. The emails go unopened, the app sits unused, the WhatsApp messages stay unread. At that point the brand does something strange: it pays a platform to find a person whose email address already sits in its own database.

This essay proposes a step between those two moments. Before a brand rents its customer back, it should be able to reach that customer through attention someone else has earned — with the customer’s permission, without either brand seeing the other’s data, and carrying a specific, useful action rather than an advertisement. I call this a CRM Ad. The network that makes it possible is NeoNet. The category it opens is Relationship Media.

Your customer. Someone else’s attention. Your next-best-action.

CRM Ads look like a new advertising format. They are the visible consequence of a deeper change: marketing is moving from channel orchestration to attention routing. Marketing software has always sent campaigns to channels. It should route actions to attention.

1

The Customer Who Stopped Listening

Ananya has not opened an email from her beauty retailer in three months. She opens a news digest every morning.

She joined the retailer’s loyalty programme two years ago and bought regularly for a while. Then its emails became indistinguishable from the forty others she receives each day, and she stopped opening them. She has not unsubscribed. She has not left. She simply no longer hears the brand.

The retailer’s CRM knows something useful about her: she has $30 in loyalty points that expire on Sunday. It has tried email twice and a push notification once. Nothing. On Monday the points lapse, and with them the most natural reason she had to come back.

Meanwhile, every morning at 7.40, Ananya opens a news publisher’s NeoLetter, its curated daily digest. She has done so for months. It is part of her routine. On Thursday, that digest carries a small block.

Figure 1. A CRM Ad inside a publisher’s digest: at open, and after the reader taps ‘Show me’.

She taps Show me. The block expands inside the email to display three products her points will cover. She picks one and lands in the retailer’s own app, where she completes the redemption under her own login. The digest never handled her account. The publisher never learnt she was the retailer’s customer. The retailer never learnt she reads that digest.

Her reaction is the test this entire idea must pass: “Of course I wanted to see that.” Not: “How did they know?”

Consider what the retailer would otherwise have done. Next quarter its paid-media team would have uploaded her email address, with millions of others, to an advertising platform and bid in an auction to show her a generic banner. It would have paid rent to reach a customer it already had.

2

The Empty Quadrant

Marketing has two mature ways to reach people. A third has been missing.

Draw a grid. One axis asks whether the person is a known customer or an unknown prospect. The other asks whether the message appears on the brand’s own surface or on someone else’s.

Figure 2. The empty quadrant: a known customer, reached on another party’s surface.

A known customer on the brand’s own surface is CRM: email, app, SMS, WhatsApp — owned media. An unknown prospect on someone else’s surface is adtech: search, social, programmatic — rented media. An unknown prospect on the brand’s own surface barely exists as a category. The fourth quadrant — a known customer reached on someone else’s surface — has been occupied only by the platforms, and only on their terms.

Today that quadrant has a name, and the name is revealing: retargeting. Instead of treating the person as a known relationship that has temporarily lost attention, the brand sends the identity into an advertising system and buys the customer back through an auction.

Relationship Media is a brand reaching its own known customer through attention earned by another party. It sits between the other two: owned first, relationship next, rented last. In the language a CMO’s budget already uses: CRM, then CRM Ads, then adtech.

The defining fact of Relationship Media is not that the host is friendly. It is that the advertising brand already has a relationship with the customer. Three things have to come together, and each supplies something different. The host supplies the attention. The existing relationship supplies the relevance. Permission supplies the right to use it. Remove any one and the CRM Ad should not run.

3

The Inventory Nobody Counts

Every brand holds millions of unfinished customer actions. Nobody measures them as inventory.

Look inside any large consumer brand’s CRM and you find the same thing: actions that should happen and have not. Points expiring. A replenishment due. A travel booking started and abandoned. A quote waiting for a reply. A subscription about to lapse. A favourite product back in stock. A service visit unbooked.

Each has a value the brand can estimate and a customer the brand can name. And each follows the same path. CRM tries — an email, a push, perhaps a WhatsApp message. If the customer does not respond, CRM stops. Weeks later, if the customer drifts far enough, the paid-media team starts again from the other end and buys the customer back through an auction.

The two halves do not even share a vocabulary. CRM speaks of customers, states and journeys. Media speaks of audiences, impressions, bids and click-through rates. Somewhere in the translation, the unfinished customer action — the economically important object — disappears from view.

Between CRM stopping and adtech starting there is a gap. In that gap sit the unfinished actions of customers who are not lost, only unreachable on the brand’s own channels. In the language of Before the Slide, this is where the slide begins.

CRM Ads do not sell targeting. They give unfinished customer actions a second surface before the brand rents the customer back.

The framing matters. “Advertisers can target individual customers in other brands’ emails” sounds invasive the moment it is said. “Your points expire Sunday — here is what they cover” sounds like service. The mechanism is the same. The proposition is not.

4  From Channel Orchestration to Attention Routing

For twenty years, CRM decided what to say and adtech decided where to buy attention. The organisation chart fixed the hand-off between them.

The CRM team’s channels are email, push, SMS and WhatsApp. The paid-media team’s channels are search, social and publishers. Each optimises within its own boundary. Nobody starts from the customer and asks: this known customer has an unfinished action worth $12 — what is the cheapest available path to their attention?

Traditional martech asks: which owned channel should I use? Traditional adtech asks: which paid audience should I buy? NeoMarketing asks a different question: for this customer, in this state, with this action value, what is the best attention path available now?

Once that question is asked, the channel boundary stops making sense, and the optimal routing is plain: owned attention first, relationship attention second, rented attention last.

Figure 3. Attention routing: the decision moves down the ladder only when the tier above fails, and every outcome is written back.

Until now, NeoNet has been described mainly as a recovery network: when a customer has been dormant for months, reach them through a brand they still engage with, before paying adtech. CRM Ads widen that role from recovery to response. The trigger is no longer months of silence. It is an owned message that went unanswered hours or days ago.

That turns NeoNet from a dormant-customer network into a distributed execution network for CRM decisions. The integration is a single new node in the journey builder: Escalate to NeoNet. An M-Agent reaches it with a clear piece of reasoning: email, push and WhatsApp have failed; this action is worth $12; find her somewhere else.

The full loop runs from customer state to next-best-action, through owned attempts, escalation, a relationship surface and an ActionAd, to an outcome — and then back. The last step matters most. The outcome returns to the brand’s CRM and changes what happens next, which no rented impression does.

Adtech distributes creatives. NeoNet distributes decisions.

This also explains why the idea is arriving now. A human marketer cannot decide, customer by customer across ten million records, whether today’s best route is email, WhatsApp, NeoNet or a platform. An agent can. Attention routing is a decision made at machine scale. It became practical when decisioning did.

5  Customer Match Without the Auction

The matching is not new. The economic arrangement is.

It would be wrong to claim that the platforms cannot reach a brand’s known customers. Customer Match lets a brand upload first-party data and reach matched customers across Google’s surfaces, Gmail included; Meta’s Custom Audiences do the same. The platforms already sell ‘your customer, our attention’. They sell it as rent. Brands spend heavily on this. The demand is proven.

What differs is the optimisation problem underneath. A platform asks: how much can this impression earn in the auction? NeoNet asks: what is the cheapest trustworthy route to completing this known customer’s unfinished action? Those are different objectives, and they produce different products.

NeoNet can match deterministically wherever the same permissioned identity exists on both sides, rather than relying on a partial or modelled overlap. The decision is made at the moment of open, not when a campaign was set up days earlier. The customer acts inside the email, using AMP for Email, rather than clicking out to a landing page. The brand pays for incremental outcomes measured against a holdout, not for impressions.

There is a quieter advantage. The advertiser does not need to hand its customer state and next-best-action to a general-purpose advertising platform. On a platform, the brand’s knowledge of what its customer should do next becomes an input to someone else’s optimisation engine. On NeoNet, the decision travels to the customer and the outcome travels back to the brand. The decision stays the brand’s.

CRM Ads are Customer Match without the auction — and without the rent.

6

The Anti-Cookie

Cookies guessed relationships. CRM Ads use declared ones.

The comparison with third-party cookies is tempting and dangerous. Cookies let a brand follow a browser around the web and show it ads after it left. In that narrow sense, a CRM Ad is a descendant. But cookies became objectionable because they answered a question nobody had agreed to: where else can this browser be followed? CRM Ads answer a different question: where else has this customer allowed brands they already know to reach them?

Cookies did something else that is easy to forget. By making cross-site reach easy and invisible, they removed any need for brands to build cooperative, permissioned ways to reach customers whose attention had moved elsewhere. As invisible reach becomes harder to defend, the need it masked becomes visible.

	Third-party cookie	CRM Ad
Identity	An anonymous browser	A customer’s declared relationship with the brand
Basis	Inferred interest	Known customer state
Permission	Invisible and assumed	Explicit, visible and revocable
Timing	Decided before delivery	Decided at the moment of open
Carries	A creative	A next-best-action
Once done	Keeps chasing	Cancels itself

 

The timing row is where CRM Ads do something no cookie could. Because the AMP block is composed when the email is opened, it can check the customer’s state at that instant. If the points are still unredeemed, it shows Show me. If Ananya redeemed them yesterday in the app, it shows a thank-you — or nothing at all.

Figure 4. Decided at open: the same CRM Ad renders differently depending on the customer’s state.

Ordinary advertising acts on a decision made before delivery and keeps chasing a customer who has already converted. A CRM Ad cancels itself when it is no longer needed. That makes it less an advertisement than a remote CRM action slot: a small, permissioned window in which a brand’s live decision about its own customer can appear, update and disappear.

7

Permission, Not Plumbing

Hashing is security architecture. It is not permission architecture.

The obvious objection to CRM Ads is privacy, and the obvious answer — the exchange is blind, so neither brand sees the other’s data — is necessary but not sufficient. A hashed email address is still personal data: pseudonymised, not anonymous. Blind matching protects the data. It does not, by itself, create the right to use it.

India’s Digital Personal Data Protection Rules were notified in November 2025, with the substantive obligations on notice, consent and children’s data phasing in over eighteen months, to May 2027. The law offers no general legitimate-interest route for marketing of the kind European law allows. Consent carries the weight: it must be specific to a purpose, and withdrawing it must be as easy as giving it. Targeted advertising directed at children is prohibited outright.

Three flows need cover. The advertising brand’s notice must tell its customers it may reach them through partner surfaces. The host’s readers must have agreed to receive messages from brands they already use. And the operator’s role must be settled: an email platform that matches one client’s list against another’s is no longer simply processing on each client’s behalf. That changes who decides the purpose of the processing, and the design must face it squarely.

One trap deserves naming. Existing customer lists were not collected with this use in mind. CRM Ads cannot be built by quietly reinterpreting old consents. They have to be built on new, visible permission. The cleanest design places that permission with the reader:

Your Brands

Let brands you already have a relationship with reach you here when something useful is waiting. Your email address is never shared between brands.

The sequence follows from this: design the reader’s permission, define the data roles, take DPDP counsel, and only then decide which entity operates the network. A new legal entity does not create permission. A well-designed consent surface does.

No cross-brand reach without permission the customer can see, understand, revoke and control.

Privacy pressure does not make cooperation between brands necessary. It changes what acceptable cooperation looks like. Cooperation can no longer mean pooling customer files. It has to mean permissioned matching without exposing them.

8

Push, Pull and the Lines We Will Not Cross

The more specific the action, the more the customer should pull it rather than have it pushed.

CRM Ads come in four levels of specificity, and each level carries its own rule.

Figure 5. Four levels of CRM Ads, from push to pull.

A cohort message — points expiring this month — can reasonably appear in a host’s digest for any reader who has granted the Your Brands permission. A state message, such as a replenishment due, can be pushed where that permission exists. An individual next-best-action belongs only on surfaces the reader has opted into. The exact items left in a basket should appear only where the customer has asked to see their pending actions. That rule replaces a vague instinct about creepiness with a design principle.

Some lines hold at every level.

No payment, credential or identity-verification actions on third-party surfaces. Brands and banks have spent years teaching customers never to act on a payment request or a login prompt that arrives from somewhere else. A CRM Ad that asked for payment details, a password, a one-time password, an identity document or KYC information inside another brand’s email would undo that training and hand fraudsters a template. Relationship Media must not train the opposite behaviour. At most, an account-sensitive action becomes a pointer back to the brand’s own app or site: open your app, something needs your attention.

No banks as hosts. Banking communications carry their own regulatory weight, and third-party messages inside them are out of bounds. No prospecting, no lookalikes and no list resale in the first version. CRM Ads exist for customers a brand already has.

The test for every CRM Ad remains Ananya’s reaction. “Of course I wanted to see that” passes. “How did they know?” fails.

9

Alternative Reach: The Number That Sells the Network

Network size is vanity. The useful question is how much lost attention the network restores.

Email networks traditionally sell themselves by audience size: so many million addresses. That number tells a brand nothing about its own problem. The brand’s question is narrower and more useful: of the customers I cannot reach today, how many can you?

Call that Alternative Reach: the share of a brand’s attention-dark customers who are currently reachable, with permission, through another member of the network. It belongs on the same dashboard as Real Reach, the brand’s 90-day engaged base. One says how much attention the brand retains. The other says how much of the lost attention can be recovered cooperatively before renting it.

Figure 6. Alternative Reach for an illustrative brand.

An illustrative brand has 20 million customers in its database. Its Real Reach is 6 million, leaving 14 million attention-dark. If NeoNet can find 4 million of those on active, permissioned surfaces elsewhere, its Alternative Reach is 29%. The pitch becomes one sentence: your CRM reaches 30% of your base; NeoNet gives you a second path to 29% of the rest before you spend on adtech.

Universal reach is not required. What matters is overlap among commercially valuable customers, and overlap is uneven. A person who ignores one retailer still opens their airline’s updates, a news digest, a food-delivery app’s daily email or another retailer’s NeoMail. The overlap matrix — each brand’s dark customers against each host’s active readers — is one of the network’s core assets, and it improves with every member.

Reach alone is not value. Value is Alternative Reach multiplied by the worth of the actions waiting and the incremental response they draw. Five per cent reach into $500 actions is worth far more than thirty per cent reach into $5 actions. A network with modest reach can still be valuable if the actions it carries are dense with value.

Fill follows the same logic. If a reader is a known customer of five brands on the network, and each has a live action for them on one day in ten, a useful CRM Ad is available on roughly four days in ten: the chance that at least one of the five has something waiting is one minus 0.9 to the power of five, or about 41%. Real behaviour will not follow independence neatly, but the direction holds: the density of participating brands matters more than total audience.

10

The Economics: Price the Outcome, Not the Rectangle

An unfinished action can be worth far more than the impression that carries it.

Because the advertising brand already knows the customer and the value of the action, CRM Ads do not need to be priced by the thousand. They can be priced on incremental outcomes, measured against a holdout — the Alpha logic of NeoMarketing applied to reach. If Relationship Media is sold by the thousand, it will be compared with newsletter advertising and, in time, optimised like newsletter advertising. That throws away the most important thing the advertiser knows: the expected value of the unfinished action.

Take an illustrative pilot. A brand has 350,000 attention-dark customers reachable through NeoNet. It holds out 50,000 at random and sends CRM Ads to the other 300,000. The exposed group completes 8,000 more actions than the holdout rate predicts — an uplift of under three percentage points. At $40 of contribution per completed action, that is $320,000 of incremental contribution the brand would not otherwise have earned. If NeoNet takes 15–25% of that verified Alpha, between $48,000 and $80,000 is shared between the host, the network and, through Mu, the reader whose attention made it possible.

That changes bid logic too. The advertiser can value one customer differently from another by customer value, urgency, state and expected response. A $5 action should not displace a $100 action merely because both wanted the same slot.

This is where the Alpha Ledger earns its place. Every action needs a pre-agreed baseline, a holdout where feasible and a decision trace from state to action to surface to outcome. The aim is not to claim every conversion after exposure. It is to measure what changed because NeoNet existed.

The host does not sell impressions. It leases moments of trusted attention for verified outcomes. Every party gains something it cannot get elsewhere. The advertising brand completes actions more cheaply than buying the customer back. The host earns from attention it has already built, without selling its readers to strangers. The reader receives something useful instead of something random, and, where Mu is in play, a share of the value.

One number governs the host’s side: net attention yield — revenue earned minus the cost in unsubscribes, complaints and falling engagement. A CRM Ad that costs its host more attention than it earns should not run. The principle that protects NeoMails protects the network.

11

Why Nobody Built This

It was not one missing technology. It was six capabilities living in different businesses, none of which had a reason to combine them.

When an idea this obvious has not been built, either something blocked it or it is not worth building. Here it is mostly the first — with a warning attached.

Figure 7. Six capabilities, six holders, six reasons the pieces stayed apart.

CRM decisioning — what should happen next for this customer — lives in marketing clouds and email platforms. Deterministic identity and inbox supply were assembled by email advertising networks. External attention at scale belongs to the platforms. In-email action arrived with AMP. Privacy-safe matching and credible incrementality came from clean rooms and holdout methods. And routing at machine scale arrived only with agents. Each holder had a reason not to assemble the rest.

The platforms could have built much of it, and their incentives run the other way. Google has the inbox, created AMP for Email and runs Customer Match; Meta runs Custom Audiences. But making a brand’s known customers cheaply reachable would cannibalise the auction that funds them. Google also stopped scanning Gmail content for ad personalisation in 2017; it has little appetite to put brand-to-brand messages into the inbox it hosts.

The marketing clouds and email platforms were best placed technically and least permitted culturally. They held the lists of thousands of brands — Netcore among them. But they are built on tenant isolation. Their trust promise is that one client’s customer data never becomes another client’s asset. NeoNet requires controlled cooperation between tenants, which is close to the opposite design philosophy. When the marketing clouds did connect CRM to advertising, they piped customer lists into the platforms — routing towards rent, not away from it. And the emails they sent were not worth hosting anyone else: promotional email with decaying opens is not inventory.

The companies best placed technically were the companies least permitted culturally.

Email advertising networks came closest. LiveIntent, founded in 2009, built an identity graph of more than 235 million hashed email addresses a month across thousands of publisher newsletters, and was acquired by Zeta Global in 2024 for $250 million. That validates the foundation: deterministic email identity and distributed inbox inventory can become a substantial business. But its unit ran from identity to audience to creative to impression. It did not carry a brand’s live decision, could not let the customer act inside the email, and was bought and priced as display advertising. It shows the value realised by one architecture, not the ceiling of Relationship Media. LiveIntent monetises identity. NeoNet executes customer intent. Zeta’s later moves to buy an enterprise email business and a newsletter publisher show that at least one company is now assembling the pieces.

Cooperation itself has a poisoned history. In 2000, DoubleClick’s plan to combine the offline buyer data of the Abacus catalogue cooperative with online browsing cookies became one of the internet’s first great privacy controversies, and DoubleClick backed down. For a generation, brands pooling customer data has been toxic, rightly. Clean rooms now make matching possible without exchanging files, but plumbing is not a customer proposition. The cooperation CRM Ads need is the inverse of pooling: no shared files, only permissioned matching that the customer can see.

Others built adjacent pieces. Shopify pooled signals across merchants for advertising audiences, then handed those audiences to the platforms. Indian bill payment and card apps already show customers a list of dues across billers — a pull version of pending actions, confined to one vertical. Loyalty coalitions showed the appeal of a multi-brand membership, and its flaw: the coalition owned the member, not the brands.

What changed is not that these technologies suddenly appeared. They have become good enough, cheap enough and organisationally plausible enough to connect. Attention-earning brand email turns a cost centre into a surface worth hosting. AMP turns that surface into an interactive action surface. Agents make individual routing decisions at scale. Clean-room matching makes cooperation possible without pooling. Holdouts make outcome pricing credible.

The deepest reason is organisational.

The market was built around channels, not customer states.

CRM owned some channels; paid media owned others. Nobody owned the question of which route a particular unfinished action should take. Each industry optimised inside its own boundary, so each built one piece and stopped. The missing technology was not matching. The missing mental model was routing. Once an agent can value every unfinished action and choose the cheapest attention path, a layer between owned and rented media becomes possible. NeoNet is that layer.

The technology existed. The category boundary was the constraint.

12

What Would Disprove or Kill This

Relationship Media should be tested as hard as it is argued. Five findings would disprove the thesis. Three would kill the opportunity without disproving it.

What would disprove the thesis

Thin Alternative Reach in a dense cluster. The initial hypothesis is that a deliberately dense cluster of brands and hosts can reach at least 15% of a member’s attention-dark customers. That figure is a hypothesis, not evidence. If reach comes in far lower, the test becomes whether value density compensates, since a small reach into high-value actions may still pay. If neither holds, the network is not ready.

No incremental response. If customers exposed to CRM Ads complete actions at no higher rate than the holdout, the mechanism is reaching people without moving them. Outcome pricing exposes this immediately, which is the point of using it.

Negative net attention yield for hosts. If CRM Ads raise unsubscribes and complaints faster than they earn, hosts will withdraw, and they should. The network needs supply that grows healthier as it carries more.

Readers refuse the permission. If the Your Brands permission is declined at high rates, or ‘Why am I seeing this?’ produces more anxiety than reassurance, the consumer proposition is wrong whatever the economics.

Hosts will not carry other brands. Brands may not want other brands inside their messages, however well governed. If too few hosts open their surfaces, there is no network to route through.

What would kill the opportunity

The permission architecture cannot be made to work. If counsel concludes that cross-brand matching cannot be structured with visible, revocable permission and clear data roles, the product does not ship in that form. The need would remain; this route to it would close.

The inbox changes the rules. In-email action depends on AMP, which only a few mailbox providers support and one dominates in practice. If that support narrows, CRM Ads fall back to a link out of the email: still useful, but weaker.

A better-capitalised player assembles the pieces first. That would not disprove Relationship Media; it would confirm it. NeoNet would simply have lost the race. The defence is speed and density within one cluster, not breadth across many.

13

Three Phases

Prove the economics before expanding the permission. Expand the permission before expanding the specificity.

Figure 8. The rollout: economic proof, then permission, then specificity.

Phase 1: Prove Alternative Reach. Start with NeoNet Signals — Alternative Reach measurement, overlap analysis and suppression lists for paid media — alongside Reconnect Ads and Level 1–2 actions. Suppression is the easiest first sale: these customers are reachable through owned or relationship attention, so stop paying the platforms to reach them. It is Never Pay Twice made operational, and because it is not advertising it sits in its own product family. Reconnect Ads aim to win back the owned channel rather than the sale: a WhatsApp opt-in, an email re-permission, an app return. Publisher digests provide early density. The visible pilot uses an action that passes the test: points expiring, a subscription renewal, a booking left unfinished, a replenishment due. Two numbers decide everything: Alternative Reach and incremental Alpha.

Phase 2: Earn the permission. Launch My Next Actions as an opt-in Magnet inside NeoMails: a block where the reader sees useful pending actions from brands they already use. Opting in is what unlocks Level 3, individual next-best-actions.

Phase 3: Turn actions into objects. Transaction-level actions appear only on surfaces the reader has pulled. In NeoCards they become persistent objects the reader can open, save, snooze, dismiss or complete. An advertisement vanishes once scrolled past. A pending action waits until the customer is ready.

The sequence does three things. It proves value before the network needs broad density. It makes consent stronger as specificity rises. And it lets the customer’s experience move from another ad towards a useful place that organises what is waiting for them. Do not begin with the most specific version of the idea. Earn the right to become more specific.

14

Beyond Ads

The more the customer pulls, the less this looks like advertising and the more it looks like an agent working for them.

Push CRM Ads are a brand asking to reach me elsewhere. My Next Actions is me asking the network to organise what is waiting for me. The second may become the larger product.

Picture a block in a daily email: My Next Actions — 3. A retailer: points expire Sunday. An airline: a fare you tracked has dropped. A grocer: your usual order is due. Each with Act · Snooze · Dismiss. The reader no longer experiences brands interrupting independently. They see their own commercial relationships, organised around them.

That is where BrandTwins enter. CRM Ads can evolve into a reader-controlled My Next Actions surface, where pending actions become persistent objects to save, snooze or dismiss. In time, a BrandTwin — the customer’s own advocate — could organise these relationships on the customer’s behalf. NeoNet moves from an advertising network towards a customer-controlled relationship network. The direction of optimisation shifts too: from how each brand maximises its response to how the customer manages competing brand demands. That is far larger than newsletter monetisation. It is a new coordination layer between brands and the customers they already have.

The division of labour is now clean. The brand’s CRM and its M-Agents decide what should happen next. Progency takes accountability for executing the recovery programme and its outcomes. NeoNet finds additional reach when the brand’s own attention has failed. CRM Ads carry the decision there. ActionAds let the customer act. The Alpha Ledger measures what was incremental. NeoMails supply the attention, CRM Ads supply unusually valuable demand, and NeoNet clears the two.

The better starting point for every marketing decision is the customer state. Is this person already known? Is there a valuable unfinished action? Does the brand still have their attention? If not, can a permissioned relationship surface restore reach? Only when those questions are exhausted should the marketer enter an auction. Real Reach and Alternative Reach together turn an invisible problem into a measurable one.

For two decades a brand that lost its customer’s attention had two choices: keep shouting into a channel the customer had stopped hearing, or pay a platform to rent the customer back. Relationship Media adds a third: reach them through a brand they are still listening to, with their permission, carrying something they want. That is Never Pay Twice turned from a principle into a route.

CRM Ads are the first proof of a larger shift. Marketing software should route actions to attention, not campaigns to channels.

When owned attention fails, do not rent your customer back. Route to relationship attention first.

Your customer. Someone else’s attention. Your next-best-action.

**

Key points

• Relationship Media is a brand reaching its own known customer through attention earned by another party. It fills the empty quadrant between owned and rented media.
• CRM Ads carry unfinished customer actions — not generic advertisements — to surfaces where the customer is still paying attention, before the brand rents them back from adtech.
• Attention routing replaces channel orchestration: owned first, relationship second, rented last. The market was built around channels, not customer states; agents make routing practical at the scale of millions of customers.
• Permission, not plumbing: the host supplies attention, the relationship supplies relevance, and only permission supplies the right. Blind matching protects data but does not create that right. The reader’s Your Brands permission is the foundation; no payment, credential or KYC actions ever appear on third-party surfaces.
• Alternative Reach — the share of attention-dark customers reachable through the network — is the number that sells NeoNet, and it sits beside Real Reach.
• Price the outcome, not the rectangle: outcome pricing against holdouts lets the host lease trusted attention for verified results, governed by net attention yield.
• The rollout proves the economics first, then earns permission through My Next Actions, then allows specificity on reader-pulled surfaces — a path that leads from advertising towards the BrandTwin.