Atrium and Meridian: Twin Pillars for Marketing’s Next Act (Part 3)

Atrium — The Attention Engine: Architecture

Building a Daily Attention Habit for the Drifting 80%

NeoMails, Magnets, Mu, and ActionAds — how email earns a reason to exist.

  1. Atrium is NeoMarketing’s answer to the attention failure. Its domain is not the already-engaged minority. It is the Rest — the 80% of a brand’s customer base that is drifting, dormant, or approaching the point where the next brand interaction will happen via a paid ad rather than an owned channel. Traditional martech is engineered for the active 20%: the Best customers who open reliably, click predictably, and convert with known probability. Those customers are well-served. The Rest are treated as background noise — present in the database, absent from the strategy. Atrium is built for everyone else.
  2. The foundation of Atrium is NeoMails. NeoMails are not conventional marketing campaigns. They are Relate-mode emails — a third communication mode that sits entirely outside Sell and Notify. Their job is not to convert or transact. Their job is to be worth opening. NeoMails are daily emails built around attention rather than urgency: lightweight, interactive, habitual. The goal is to make engagement the path of least resistance for a customer who has quietly stopped listening. Not to force re-engagement through promotional pressure, but to create a small daily reason to return that becomes, over time, a habit the customer expects.
  3. Three components make NeoMails work. Magnets are interactive engagement units embedded inside the email — quizzes, polls, predictions, forks, micro-games — that create participation without requiring the customer to leave the inbox. Participation earns Mu, the attention currency of the NeoMarketing system: micro-rewards that build a balance usable across the brand’s attention economy. And ActionAds (delivered via NeoNet) are single-tap subscription and action prompts that monetise the attention surface without forcing users through the standard click-through-to-landing-page friction. Magnets create the reason to engage. Mu rewards the engagement. ActionAds monetise it. Together, they transform email from a message to be tolerated into a small experience to be sought.
  4. The SNR framework explains why this matters structurally. Most brands have Sell — offers, promotions, urgency nudges. Most brands have Notify — receipts, confirmations, service alerts. Almost no brand has Relate — the mode that earns attention independent of a transaction. That is not a creative gap. It is an architectural gap: there is no channel dedicated to Relate, no measurement framework for it, and no business model that makes it worth building. NeoMails is the Relate channel. It exists specifically to fill the structural absence that causes the Rest to drift — and to give brands a daily presence that does not ask for anything in return.
  5. Atrium’s customer domain maps directly onto the BRN segmentation. Best customers go to Meridian — they need depth, not breadth. Rest customers go to Atrium — they need reconnection, not conversion pressure. A Rest customer is not hostile. They are indifferent. Indifference is not solved by louder promotions. It is solved by creating a low-friction, genuinely interesting daily habit that makes the brand worth returning to before anyone feels the need to spend on paid reacquisition. Atrium exists to stop that spend from ever becoming necessary.

Key Takeaway: The Rest are not hostile — they are indifferent. Indifference is not solved by louder promotions. It is solved by a daily habit that makes the brand worth returning to.

Thinks 1939

WSJ: “In the provocative, ambitious and exasperating pages of “The Story of Stories,” Mr. Ashton, a former researcher at the Massachusetts Institute of Technology, makes the case that stories have been part of human history so long that they predate language itself. A story, he writes, is a “primary vehicle for emotion” with three components: character, chronology and consequence. Into this form, we put our relationships, our inner lives and what we believe to be our external reality. We live and breathe stories: We concoct them; we relate them; we react to them. From time to time in history, there has come a technological leap that allows greater dispersal of stories: the invention of the printing press; the development of wood-fiber paper; the innovations of radio, television and, of course, the smartphone. The author refers to the manner of these jumps as “saltation,” a geological term pertaining to the movement of particles by wind or water that he likes so much he uses it 11 times.”

FT: “Complex animals appeared on Earth even longer ago than thought, according to a more than 500mn-year-old fossil trove uncovered in south-west China that shows the power of symmetry in evolution. The discovery dates the surge in oceanic evolutionary diversity known as the Cambrian explosion to before the start of the eponymous geological period 539mn years ago, says research published [recently]. The find captures a critical moment when simpler creatures began to evolve into more advanced ones with capabilities that would eventually enable them to thrive on land.”

From “The Infinity Machine: Demis Hassabis, DeepMind, and the Quest for Superintelligence,” by Sebastian Mallaby: “At the end of January 2014, Google bought DeepMind for $650 million, a bargain by today’s standards. But the real payoff for Hassabis came over the next decade, as Google poured billions into DeepMind’s research. The quest for superintelligence, which Hassabis had harbored since his teenage years, would soon go into overdrive.” [WSJ excerpt]

Jacob Mchangama: “Democracies have always worried about dangerous ideas corrupting the young. Intellectuals and lawmakers should absolutely be concerned about how and when our children navigate social media. But they should also be concerned about whether, in our rush to protect our children, we are building an infrastructure of surveillance and censorship that will ultimately threaten the hard-won freedoms we want future generations to enjoy.”

Mike Munger: “Liberalism has two mutually reinforcing aspects. The first is humility: I can’t assume I’m right. The second is toleration: I can’t assume you’re wrong.” [via Arnold Kling]

Atrium and Meridian: Twin Pillars for Marketing’s Next Act (Part 2)

The Root Cause — Two Structural Failures

Why Incomplete Categories Are Costing Brands $500 Billion

The attention failure and the incentive failure — and why one pillar cannot fix both.

  1. Beneath the red ocean in martech lies a much larger failure in marketing itself: AdWaste. Customers are acquired at significant cost, engage briefly with a brand’s owned channels, and then drift. Attention decays — not through active rejection, but through passive indifference. The brand loses contact with the majority of its base long before formal churn is visible. Months or years later, those same customers reappear in paid acquisition campaigns and are counted as ‘new’. The same customer, bought twice. Sometimes three times. Globally, this loop costs brands an estimated $500 billion annually — not in fraud or wasted ad impressions, but in the systematic repurchase of customers who were never properly lost, only neglected.
  2. The Reacquisition Tax is AdWaste’s most visible symptom and its most damaging one. Across the brands Netcore works with, 60–80% of customers classified as ‘new’ in paid acquisition dashboards are customers the brand already owns — in its email file, CRM, app database, or transaction history — but whose attention decayed because the relationship was not maintained. Their email address sits in the system. Their purchase history is on record. And yet the brand pays Meta or Google a full acquisition fee to bring them back through a paid ad, a retargeting campaign, or a programmatic impression. This is the toll charged for failing to maintain what was already owned.
  3. This is Failure One: the attention failure. Most brand communication operates in only two modes. Sell: promotions, urgency, offers, conversion asks. Notify: receipts, shipping updates, transactional confirmations. There is a third mode — Relate — where communication earns attention independent of an immediate transaction. This is where habits form, anticipation builds, and the brand remains mentally present between purchases. For most brands, Relate barely exists. There is no channel, no budget allocation, no content brief, and no measurement framework for it. That absence is not a creative oversight. It is the structural reason why the Rest drift — and why the Reacquisition Tax keeps rising.
  4. This is Failure Two: the incentive failure. CEE platforms monetise activity — messages sent, journeys triggered, events captured, seats licensed. The vendor gets paid whether customer relationships deepen or decay. In effect, the brand’s need is outcomes, but the vendor’s incentive is throughput. This does not just tolerate waste. It institutionalises it. When the commercial model does not reward success in retention and punish failure to grow, the system drifts toward more activity rather than better outcomes. More campaigns, more journeys, more triggers — all generating more billing, all justified by dashboards that measure opens and clicks rather than revenue impact and customer lifetime value.
  5. Together, the attention failure and the incentive failure define marketing’s impossible problem: how do you simultaneously maximise LTV and minimise CAC? Traditional martech solves neither cleanly. It helps execute campaigns, but does not eliminate reacquisition. It enables orchestration, but not accountability. It processes activity, but does not reverse the structural leak. That is why one pillar is not enough. Atrium attacks the attention failure. Meridian attacks the incentive failure. Different problems. Different architectures. One shared mission: eliminate AdWaste and restore brand profitability.

Figure 1: Marketing’s two structural failures and the two engines engineered to resolve them.

Key Takeaway: Every dollar of AdWaste traces back to one of two failures: attention decayed, or incentives misaligned. Fix both or fix neither.

Thinks 1938

Ashu Garg: “At moments like this, the biggest risk for founders is not acting quickly enough. Action is what creates opportunities for learning, and your pace of learning is one of the most important variables you control. This also means you need to stay low ego, and be ready (or even actively plan to) to throw out aspects of what you’ve built as the technology improves.”

WSJ: “AI-assisted stories accounted for nearly 20% of Fortune’s web traffic in the second half of 2025. Most were written by [Nick] Lichtenberg.”

FT: ““The economy is rewarding scale like never before,” [Larry] Fink noted, observing how the leading companies in many industries were surging ahead while the rest struggled to keep pace. That trend is anatomised in a new report from the McKinsey Global Institute on market competition. The institute had previously identified the strengths of “wizard” companies that could use their technological magic to outperform “muggle” competitors, in the language of Harry Potter. Chris Bradley, one of the report’s authors, suggests nine “super-wizard” companies are now emerging that command enormous resources and are set to dominate many of the 18 fastest-growing markets of the future, such as ecommerce, AI software and services, space, robotics and autonomous vehicles.  These “omniscalers” (to revert to more traditional McKinsey-ese) include six US companies — Alphabet, Amazon, Apple, Microsoft, Meta and the Tesla/SpaceX cluster — and three Asian giants — Alibaba, Huawei and Samsung. They are all characterised by massive spending on research and development and a proven ability to spin their technology, data and infrastructure expertise into new markets.”

Srikanth Nadhamuni: “Her name is Lakshmi. She lives in a small village in the Krishna delta, Andhra Pradesh, where the fields flood in September and the nearest bank branch is a one-hour bus ride away. She wants to buy a buffalo, not as an aspiration, but as a business plan. A government scheme could fund it. But she cannot read or fill a form and has no one to help her navigate the paperwork. The bank exists. The scheme exists. The money exists. The gap is not financial. It’s procedural. And procedural complexity, invisible to those of us who navigate it daily, is one of the most efficient destroyers of wealth in India. This is the problem at the heart of a white paper I co-authored with colleagues from MIT, IIT Kanpur, IISc and other institutions for the India AI Impact Summit, titled ‘Doot: The AI Agent for Every Indian Citizen.’ It outlines the architecture for an AI agent designed to work for every Indian citizen.”

Atrium and Meridian: Twin Pillars for Marketing’s Next Act (Part 1)

The Incomplete Category Problem

Email and CEE Are Not Dead — They Are Unfinished

Dead categories are harvested. Unfinished categories are completed.

  1. Email is the world’s most durable digital marketing channel — owned identity, direct access, the highest ROI-per-dollar of almost any messaging medium, and a global installed base of three billion users. And yet most ESPs have converged on the same competition: deliverability rates, workflow builders, journey templates, and price. The channel survived. The category stalled. Every ESP promises broadly the same inbox landing rates, the same drag-and-drop designers, the same analytics dashboards. What once differentiated has been arbitraged away. Email became commodity rails — wide, reliable, and entirely undifferentiated.
  2. Customer Engagement and Experience platforms — CEE, also known in the industry as Marketing Automation Platforms or MAPs — followed a parallel trajectory. Over two decades of feature accumulation, CEE vendors built increasingly sophisticated platforms sold on a fundamentally unsophisticated economics: Monthly Transacting Users, messages triggered, journeys launched, API calls processed. The platform invoice rises with activity, regardless of whether customers stay, spend more, or quietly disappear. The software may be capable. The business model is not. Vendors succeed when brands plateau. That is not a commercial partnership — it is a structural misalignment dressed up as a subscription.
  3. Both categories are now red oceans: crowded, margin-compressed, and under accelerating pressure from AI-driven capability deflation. Across B2B software more broadly, the old SaaS expansion logic is breaking down. Seat-based growth is weakening as AI reduces the headcount that licences are tied to. Buyers are scrutinising renewals with a rigour they rarely applied during the growth years. The market is asking a harder question than before: do I want to use this product, or do I have to? The answer to that question determines whether a vendor commands pricing power or fights on price alone.
  4. Martech’s future lies in completing unfinished categories by changing both the product and the economics. The instinct is to treat current pressure as category maturity — inevitable decline, harvest-and-defend. That instinct is wrong. Email and CEE did not become crowded because they failed. They became crowded because they stopped evolving at the point of delivery and orchestration. Email became a sending system and stayed there. CEE became a workflow system and stayed there. Neither completed its economic destiny. Neither asked what it could become if the incentive structure changed.
  5. Atrium completes Email. Meridian completes CEE. They are not product launches or feature additions — they are category completions. And the next step is economic as much as technical: attention must fund email, and outcomes must fund engagement. Email without an attention engine remains a cost centre. CEE without an outcomes engine remains input-priced software. Both categories stopped halfway. Atrium and Meridian are the completion.

Key Takeaway: Email and CEE did not fail — they stopped evolving. Atrium and Meridian are the completion.

Thinks 1937

Reid Hoffman: “What is genuinely true (and exciting) is that software must now incorporate AI generativity as a core feature of its value proposition. The new competitive moat isn’t built from how well a software system’s AI is tuned to the specific needs of its category. A CRM company that ships a deeply intelligent set of agents that iteratively refine your sales workflow, that understands your pipeline more comprehensively than any human analyst, that comes with powerful backend libraries purpose-built for that domain has an extremely well-crafted moat. The incumbents who understand this will evolve. The ones who don’t will be the ones who actually die. But even they will die more slowly than most assume.”

NYTimes: “A long time ago, in England as well as America, people understood a constitution to be like a garment, tailored to fit the body of a nation and intended to “align the character of the land and people it governs with an appropriate frame of government.” This old understanding was universal among the framers, whatever else they disagreed about. So, too, [Mark] Peterson reminds us, was the belief that when a constitutional relationship goes awry — when the garment no longer fits the body — the people have the power, right and responsibility to alter it. Whether we possess the political will to create a new constitutional order better suited to address the challenges of our time seems entirely less certain.

WSJ: “Since the 1970s, engineers speculated this might allow humans to store vast quantities of energy more or less indefinitely. Two problems: At the time, renewable energy cost too much to make it affordable, and adding water usually turns quicklime into an unwieldy goop. A 10-person startup called Cache Energy, working out of a 10,000-square-foot facility in Champaign, Ill., says it has figured out how to make such a cement battery durable, efficient and affordable. The company’s approach is to form cement into tiny balls, each about the size of a kernel of corn. Its engineers add a binding agent—secret though widely available, they say—to keep the balls in shape during the discharge and recharge process. Recharging the pellets requires heat, generated from electricity. When it’s time to discharge that stored energy, adding the right amount of water causes the pellets to release enough heat to generate temperatures up to 1,000 degrees Fahrenheit, says Cache’s founder, Arpit Dwivedi.”

Julia Angwin: “Compensating people for the harm caused by their products is just the silver lining. The real win would be if the social media giants were finally forced to design less harmful products. I’m talking about features like infinite scroll, which entices people with seemingly endless content, and autoplay, which automatically starts videos before our eyes. And of course, there are the algorithms that spread misinformation and amplify outrage. These are all techniques Big Tech uses to keep us staring at the screen for as long as possible. Too bad if its profitable practices extract a terrible cost on its users and on our society.”

A Day in the Life of NeoNet

Published April 21, 2026

Three people. One network. No landing pages. No forms. No paid media.

1

Priya’s Problem

Monday, 9:12am. Inbox open. Retention dashboard on screen.

Priya has her inbox on one screen and the retention dashboard on the other. The numbers have the dull cruelty of familiarity. One million email addresses. Six hundred thousand dormant. Last quarter’s win-back campaign: 3.8% opens. The presentation for the weekly review is due in forty minutes and she is still rearranging boxes on a slide, as if relabelling the problem might solve it.

Her boss has asked the same question in three different ways over the past year. Why does the list keep growing while revenue from email stays flat? Why do acquisition costs keep rising if the brand already has so many customers? Why does every attempt to wake up the inactive base feel like shouting into an empty room?

Priya knows the answers. The brand’s emails have become predictable in the worst way. There is always an offer, always a countdown, always a reason to buy now. There is almost never a reason to open if you are not already in-market. The emails are timely from the brand’s point of view and irrelevant from almost everyone else’s. She has tried the full playbook: urgency subject lines, personalisation tokens, re-permission campaigns, bigger discounts, softer discounts, a “we miss you” sequence, a “last chance” sequence. Every experiment shifts the numbers fractionally and changes the outcome not at all. Six hundred thousand addresses sit there like a quarterly rebuke.

Why do I have a million addresses and no attention? she thinks, then deletes the line from her notes because it sounds too emotional for the meeting.

The proposal lands in her inbox at 9:19am. A daily email programme. No per-send fee. Content built to be opened, not to push. A pilot aimed at the people who have stopped responding to everything else. It sounds faintly implausible, which at this point is almost a recommendation. The plausible ideas have already failed.

By 9:31 she is on a call, arms folded, scepticism intact. She asks the obvious questions. Will this hurt deliverability? No — it rides as a controlled, protected layer. Will it cannibalise promotional revenue? It is not designed to sell. Then what is it designed to do? Earn attention back, one day at a time. She waits a moment before answering. By 9:44 she says yes — not because she is convinced, but because she has run out of ways to say no. The pilot costs her nothing. The only real risk is that nothing happens, and she already knows what that feels like.

2

Aisha’s Inbox

On her commute, three weeks later, clearing personal mail before work.

Aisha has a system for email that has served her well for years. Bank alerts first — anything that might be a fraud notification or an unusual transaction. Flight updates if she has any travel upcoming. Work messages that look urgent. Everything else gets swiped away in under a second. She is good at this. It takes her roughly four minutes every morning to process twenty-odd emails and feel clean about her inbox.

She is on the 8:22 train, one hand on the overhead rail, phone in the other, when a subject line from the food brand catches her eye. Not because it is dramatic. Because it is not. It does not say “Last Chance” or “Exclusive Offer” or “We Miss You.” It contains a number she does not recognise, something with a Greek letter prefix, and a question — a short trivia question about something she finds genuinely interesting. The email looks, briefly, like it might not want anything from her. She opens it.

Inside: a short paragraph from the brand — a piece of content, readable fifteen seconds, no urgency. And below that, a quiz. Three questions. She taps through them on the train without really deciding to. At the end a small message: she has earned something called Mu. The email does not make a big deal of explaining what Mu is. It simply tells her that tomorrow’s subject line will show her balance. She is mildly intrigued in the way she is mildly intrigued by her fitness app’s weekly summary. She closes the email. She does not think about the food brand again until the next morning.

The next subject line shows: Mu 14. The one after: Mu 22. Then 31. The number is becoming a tiny continuity device, a small measurement of something she did not know she was accumulating. Some mornings the email has a quiz. Some mornings a prediction question about the news. Some mornings a short challenge that is just specific enough to feel like a person made it rather than an algorithm. The content does not always land perfectly, but it is always brief and never demanding.

What changes is not dramatic. Aisha is not suddenly a loyalist. She has not visited the website. She has not put anything in a basket. She would struggle to explain to a friend why she keeps opening these emails. But the brand has re-entered the rhythm of her mornings in a way it had not been present for eighteen months — not because it offered her a discount, but because it gave her something worth thirty seconds of her time, every day, without asking for anything back. By the fourth week she opens on most weekdays. By the fifth, the subject line feels like a small appointment rather than an interruption.

I open this because it gives me something, not because it wants something, she thinks, then laughs at herself for reviewing an email on public transport.

3

The Tap

Same commute. Six weeks in.

Six weeks into the new routine, the food brand email has become unremarkable, which is its own kind of success. Aisha opens it the way she opens her weather app — not because she is excited but because it has become part of the shape of her morning. She answers the quiz. Her Mu balance ticks up. The content today is about something she vaguely cares about. She reads it, not carefully, but enough.

At the bottom of the email, below the main content, is a small unit she has not noticed in previous sends. A fashion brand. She has seen the name before — on a shopping app, she thinks, or in a conversation, or on someone’s bag on a previous commute. It has the kind of peripheral familiarity that does not constitute knowledge but is not quite ignorance either. The brand exists somewhere in the background of her awareness, the way many brands do, without ever having quite resolved into a choice.

The prompt is simple. Something like: get their daily email. One tap.

She thinks about this for approximately one second. The brand is familiar enough. The tap costs nothing — not money, not effort, not even the cognitive overhead of a form. She is already in the habit of opening daily emails, so the marginal cost of one more feels very low. And she is, right now, inside an email experience that has earned a small amount of trust through repeated, undemanding usefulness. The suggestion feels contextually appropriate. If this turns annoying, I’ll just ignore it, she tells herself, which is the modern consumer’s version of optimism.

She taps.

No form appears. No page loads. No field asks her to type the same email address she has typed a thousand times. The action completes before she has fully registered that she performed it. She wonders briefly whether anything actually happened, and then the train stops at her station and she puts her phone in her pocket and walks to work.

The next morning an email from the fashion brand appears in her inbox. It has the same lightness to it — short, useful, slightly playful, nothing like the bloated newsletters she deletes on instinct. She opens it, reads it for forty seconds, and goes back to her morning without attaching much significance to the event.

But a significance exists all the same. A relationship has begun without friction. Not because she hunted for it. Not because the brand trapped her in a funnel. Not because she filled in a form and then forgot she had done so. It began because the easiest next step, inside a familiar and already trusted environment, felt worth taking. She did not fill in a form. She was not asked to.

4

Rajan’s Dashboard

Coffee. Acquisition report. One number finally moving the right way.

Rajan has been running paid acquisition for six years and has watched the economics deteriorate in almost perfect correlation with his growing expertise. He knows exactly how to optimise a Meta campaign, which is to say he knows exactly how to spend more money slightly less wastefully than before. His cost per acquired subscriber has roughly doubled in two years. The agency tells him this is industry-wide. He knows it is. That does not make the number easier to explain in the quarterly business review. Why does every new customer have to come through someone else’s toll booth? he thinks, not for the first time.

He agreed to trial a new acquisition channel three weeks ago, mostly because his head of growth had run out of other ideas and this one carried no upfront cost. No creative asset brief. No guaranteed volume commitment. No landing page to build and test. He was mildly sceptical in the way he is mildly sceptical of most things that have not yet proved themselves. He has been mildly sceptical of many things that later worked and many that did not.

This Tuesday morning, with his coffee going half-cold, he refreshes the acquisition dashboard before his first meeting. The new line is not dramatic. It is not supposed to be. A few weeks ago it was a trickle. Now it is a steady daily flow: new subscribers arriving one by one, then in small batches. Each carries a verified email address, a logged consent event, a timestamp, a recent open from another brand’s email stream that confirms the address is live and the person is genuinely in the habit of opening email. Not anonymous traffic. Not inferred intent. Not an audience rented from an algorithm and loosely matched by interests. Real people, known identities, explicit choices.

He clicks through to the recent cohort. Their open rates are running at 31%. His paid-acquisition cohort from Meta last quarter ran at 19%. The NeoNet subscribers are also calmer in their early behaviour — less spike, less immediate drop-off, fewer junk sign-ups. He does not let himself get excited; experience has trained that response out of him. But he feels something more useful than excitement. Relief.

For once, he is not buying a promise. He is watching actual behaviour accumulate — opens, interactions, repeat engagement — before he has spent a single rupee. His team has been trained to think in front-loaded costs: spend for clicks, spend for leads, spend for sign-ups, spend again to warm those leads into customers. This channel reverses the emotional order. First comes attention. Then evidence. Then the commercial decision.

He scrolls through the last seven days. The pattern is holding. A believable number, and a believable number can be planned around. When his head of performance walks in, Rajan turns the screen slightly and says, almost casually: “This is the only line item I am not arguing with this week.” In his world, that counts as enthusiasm.

5

The Decision

Eight weeks in. Seasonal campaign approaching.

By the eighth week Rajan has a seasonal campaign ready. The creative is approved. The merchandising team wants volume. Finance wants discipline. He looks again at the pool of subscribers who have been opening his daily emails with consistency he is not used to seeing from paid-acquisition sources. He has been watching them for two months. He knows their open rates. He knows their interaction patterns. He knows they have not yet received a single promotional email from his brand. They are a clean slate, and the slate has been warming in the background while he watched.

Now comes the point at which most channels become expensive. Up to this moment he has spent nothing to acquire them. The cost appears only if he chooses to move from relationship into promotion. The transfer cost per subscriber appears on screen alongside the average cost per subscriber from Meta last quarter. The comparison does not need commentary. He waits a day — caution has become muscle memory — and then approves the transfer in under two minutes.

On the other side of the network, Priya is sitting in a review meeting when the notification lands. Revenue share credited to the food brand’s account. She reads it once, then again more slowly. For a moment she thinks she has misread the screen. Her dormant list — the same list that has sat useless and quietly accusatory on her quarterly slides — has just generated revenue. She does not say anything immediately. She takes a screenshot first.

When her boss asks later in the meeting whether the pilot is showing anything interesting, Priya turns her laptop around and says nothing. The screenshot does the talking. The number is not large enough to retire on. It does not need to be. What matters is what it represents: the inactive base has stopped being a pure liability. Attention has started to behave like an asset.

Her boss leans forward. “Wait,” he says. “We earned this from the list that wasn’t opening?”

Priya nods. She is still cautious — marketers who have worked with channels long enough develop superstitions against early celebration — but the mood in the room has changed. Not because the pilot has already solved retention. Because the economics are no longer pointing in only one direction.

That evening Rajan’s campaign goes out to his transferred cohort. Priya forwards her screenshot to herself so she can find it for next week’s deck. Neither of them calls what is happening a breakthrough. Both of them know better than to use that word too early. But both of them sleep slightly better.

6

What Aisha Notices

A Tuesday morning. Ten weeks in.

Ten weeks in, on a Tuesday morning, Aisha is making tea before her first call and clearing her inbox in the quiet few minutes before the working day starts. She opens the food brand’s email first — this has become the instinctive sequence, not a decision she re-evaluates each day. Then the fashion brand’s. Both identified with the distinctive µ in the subject. Then the bank alert.

If someone had told her two months ago that this would be her order of morning attention, she would have found it implausible. She has never thought of herself as someone who reads brand emails willingly. She still does not think of herself that way. The emails have simply stopped feeling like brand emails in the sense she learned to ignore. They feel, in a way she could not quite articulate, like something that is for her rather than at her.

The food brand email is still there — brief, still faintly rewarding in a way she would struggle to describe without sounding sillier than she intends. The Mu number in the subject line has grown to a point she finds oddly satisfying to look at, like a streak counter for a habit she did not mean to form. She is still not entirely sure what she will do with it when the moment arrives, but seeing it climb feels like evidence of something — a small record of consecutive mornings in which she chose to engage rather than archive.

The fashion brand has a campaign on today. Not a loud one. Just a clear selection of things she might plausibly wear, presented without pressure. She clicks through, looks at a jacket for two minutes, and by lunch has bought it. She does not think of this as the conclusion of a marketing funnel. She thinks of it as buying a jacket on her lunch break.

She does not know that one brand’s manager took a screenshot on a Monday morning and forwarded it to her boss with no accompanying message. She does not know that a CMO in another office approved a two-minute transfer decision before his first meeting. She does not know that the single tap she performed on a train six weeks ago connected two companies in a revenue event that neither of them managed or planned in the traditional sense.

She knows only the surface truth, which is sufficient. Two brands are in her life now in a way they were not before. One returned without bribing her. The other arrived without intruding. Both earned a place in the same inbox she had previously reserved for things that were strictly necessary.

The inbox did not become more sophisticated from her point of view. It became more worth opening.

**

What Just Happened

Priya lived through reactivation — dormant customers returning to an active relationship with the brand — and something she had not expected: publisher revenue from a network that was working while she ran her regular programme in parallel. The list that was a quarterly embarrassment became an asset before it became a commercial channel. Her boss’s question — Wait, we earned this from the list that wasn’t opening? — is the right question. The answer is yes, and the mechanism is simpler than it sounds: attention, once earned, can be routed.

Rajan lived through acquisition at a fraction of his Meta cost, with engagement evidence already accumulated before he spent a rupee. He did not buy a promise. He observed behaviour, assessed it, and approved a transfer at the moment of certainty rather than the moment of hope. The subscribers on his list arrived with verified identity, explicit consent, and open history — everything a paid campaign claims to deliver and rarely does in such clean form.

Aisha lived through relationship before promotion. For two months she received something genuinely useful every morning, without being asked to buy anything. When the promotional email eventually arrived, it arrived in an inbox that had already decided to trust the sender. She did not experience a marketing system. She experienced email doing a better job of being email.

Nobody called this revolutionary. Nobody filled in a form. The inbox did not change. What changed was what was worth opening. This is what NeoMails and NeoNet do.

Thinks 1936

Donald Boudreaux: “It’s no astonishing coincidence that Wealth of Nations appeared in the same year as America’s Declaration of Independence,
Thomas Jefferson’s manifesto, which Milton and Rose Friedman described as
“the political twin of Smith’s economics” (1989). Both works are products of the liberalism that was just then beginning to free humankind from its ages-old self-imprisonment within an ideology that treats most individuals as inferior to the nobility, treats commerce with contempt, and treats innovations that threaten traditional economic arrangements as intolerable. The fruits of Smith’s and Jefferson’s quills not only reflected the liberalism of the age; they also nourished that liberalism. Indeed, perhaps no other single work—except maybe John Locke’s Second Treatise on Government—has done as much as have Wealth of Nations and the Declaration to advance the cause of liberalism.”

Tyler Cowen book “The Marginal Revolution: Rise and Decline, and the Pending AI Revolution”: “Tyler traces the birth, triumph, and quiet decline of marginalism — the idea that made modern economics possible. Beginning with the 1871 Marginal Revolution and ending with the AI tools transforming research today, this is a book about how ideas are born, why they take so long to arrive, and what happens when machines begin to see around corners that humans cannot.”

WSJ: “The question isn’t whether AI is cognitively dangerous, the question is whether you’re using it as a crutch or as a coach. Memory consolidates through a process called elaborative encoding. The deeper and more actively you process information, the stronger the trace. Shallow engagement (skimming, passively consuming, letting AI summarize for you) leaves faint impressions. Active struggle—retrieving, connecting, questioning—builds durable knowledge. This is sometimes called the “desirable difficulty” principle, and it’s one of the most robust findings in cognitive psychology. Easy learning is often the least sticky. Struggle is what makes knowledge hold. AI, when used badly, is a desirable-difficulty machine running in reverse. It removes friction, smooths edges, and hands you the answer before you’ve had a chance to reach for it yourself. Every time you ask it to summarize a book you haven’t read, recall a fact you could have retrieved yourself, or draft a thought you were about to form, you’ve skipped a cognitive rep.”

FT: “Private credit is distinct from the public market credit plotted out in our treemap. Both are credit, but the public bit is typically tradeable bonds that pay fixed interest rates. That’s all the red stuff in the chart. Meanwhile private credit doesn’t trade (at least not much), usually pays a floating rate — say, 5 percentage points above benchmark interest rates — and is covered in stickers saying how senior it is in the borrower’s capital structure. In other words, it ranks more highly if the borrower collapses. It might even have some bespoke terms and conditions attached to protect lenders, and include specific ring-fenced assets supposedly backing the loan.”

Email’s Next Act: How NeoMails and NeoNet Change Everything (Part 7)

Why This Is Email’s Next Act

The dormant list has long been treated as a liability. Brands stare at their inactive addresses and see a problem — a hygiene issue, a deliverability risk, a reminder of customers they failed to retain. The standard response is either to write the list off or to spend money trying to reactivate it via paid media — paying Google or Meta to serve ads to people whose email addresses already sit in the brand’s database, which is the purest form of AdWaste imaginable.

NeoMails and NeoNet invert this entirely. The dormant list is not a liability. It is the founding contribution to the network. Brand A’s dormant addresses are not a problem to be managed — they are the starting pool for reactivation. The subset that opens and engages becomes network-grade attention: the raw material from which NeoNet Acquisition is built. Atrium takes that raw material, sends NeoMails at its own cost, reactivates a portion free of charge, and uses the rest as an acquisition surface for Brand B. Brand A earns ActionAd revenue from its reactivated base through the NeoMails they receive — before a single customer returns commercially. The list that was worth nothing yesterday is generating value today — not because anything about the customers has changed, but because the infrastructure to monetise dormant attention now exists.

This logic compounds with every brand that joins the network. Each new Brand A increases the pool of dormant attention available for acquisition. Each new Brand B increases the number of ActionAd surfaces and the revenue available to Brand A. Each new transfer fee increases Atrium’s margin, which funds outreach to more brands, which grows the network further. The system self-finances from the moment the first ActionAd converts. No external funding mechanism is required at any point.

The significance extends beyond the economics. Email is the only owned channel in marketing. Every other channel — search, social, display, programmatic — routes through a platform that the brand does not control. The platform sets the rules, changes the algorithm, raises the prices, and extracts rent from every transaction between a brand and its customers. Email is different. An email address, freely given, is a direct relationship between a brand and a person. No algorithm stands between them.

What NeoMails and NeoNet do is take that foundational advantage of email — the owned, direct, algorithm-free relationship — and extend it into a cooperative network where the relationships of many brands create something more valuable than any single brand’s list alone. Recovery becomes possible because a customer who drifted from Brand A can be found in Brand B’s active base and returned with a single tap. Acquisition becomes possible because Brand B’s engaged audience can be introduced to Brand A with no friction and no paid media. The inbox stops being a silo and starts being a network — where attention flows across brands inside owned channels rather than through rented ones.

Email once held a privileged place in the relationship between brands and customers. That privilege was not lost because the technology failed. It was lost because the emails stopped being worth opening. NeoMails and NeoNet are a structural answer to that structural problem. Not a revival. Not a better template. Not a smarter subject line. A reinvention of what the inbox is for.

NeoMails create permissioned attention. NeoNet routes it across brands. Atrium monetises the movement from attention to action.

That is email’s next act.

Thinks 1935

Bloomberg: “In the early 1960s, the RAND Corporation, a think tank based in Santa Monica, California, popularized the idea of red and blue teams. The red team had to think like the Soviet military and probe the US for weaknesses. The home team, or blue team, had to counter the red team, with the two often engaged in prolonged war games. The idea is simple: To fight a formidable adversary we need to think like the adversary. Think red or be red. Since then, red teaming has spread to government, business and beyond. The CIA created a new red cell in response to the September 11 attacks, and the US military extended its use of red teaming after the failures of the Iraq War. Red teaming is standard in the world of cybersecurity, where companies use internal hackers to probe their digital infrastructure. Google operates a dedicated AI red team to stress-test large language models for vulnerabilities such as the theft of sensitive data (“data exfiltration”) or using prompts to ignore ethical guardrails (“jailbreaking”). It is time to apply the methodology of red teams to the key institutions of liberalism.”

Cal Newport: “The growth of A.I. has brought new cognitive concerns. A study from January, based on surveys and interviews with more than 600 participants, revealed a “significant negative correlation between frequent A.I. tool usage and critical thinking abilities.” Another recent study, which tracked the brain activity of research subjects who were writing with the help of large language models, found that “brain connectivity systematically scaled down with the amount of external support.” The loss of our ability to think is a big deal. Close to 40 percent of the U.S. gross domestic product comes from so-called knowledge and technology-intensive industries, from aerospace manufacturing to software development to financial and information services. Companies in these fields alchemize advanced human thought into revenue; as we weaken our brains, we also threaten to weaken our economy. It is notable that productivity growth in the private business sector stagnated during the same 2010s period when technology became measurably more distracting. A diminished ability to use our brains also has concerning personal impacts. Thinking is what lets us make sense of information in a complicated world.”

WSJ: “Agents shouldn’t have human names. They shouldn’t be on org charts. And they shouldn’t be given a specific job title, Nickle LaMoreaux, chief human resources officer at IBM said,…at the WSJ Leadership Institute’s Chief People Officer Summit in Menlo Park, Calif. “We learned this the hard way,” she said. IBM used to have a series of agents that went by names like Harry, Hermione, Charlie and Sherlock. But it fell into a trap of focusing too much on each agent’s individual use cases rather than using them for more impactful large-scale process re-engineering. “Too many CPOs are getting so hung up on: what does this agent do, what does this AI do?” she said. The biggest bang for your buck, she said, isn’t in individual assistant-type agents that, say, help write emails. It’s in integrating AI into enterprise workflows.”

FT: “Since February, Chinese AI models made by groups such as DeepSeek and MiniMax have overtaken US rivals in token consumption, according to OpenRouter data, which tracks these units of text, code or data processed by large language models.  The shift points to a deeper change in the AI race, with Nvidia’s Jensen Huang saying this month that the production and use of the digital units will drive the AI economy. Because developers are charged per token, it doubles as both a proxy for adoption of models and a pricing battleground between AI companies. As AI agents, such as those built on the open-source platform OpenClaw, consume vastly more tokens than earlier chatbots, the ability to cheaply produce tokens is reshaping global competition — and giving China a new edge.”