Thinks 1944

FT: “Social media companies make money from attention, which in practice means rewarding sensationalism and inflammatory content with little regard for truth. They have also until recently avoided liability for harmful or false information by using the defence that they are merely neutral platforms on which other people publish. In contrast, as British philosopher Dan Williams argues, AI companies are competing to serve customers who are paying for accurate, objective and, well, intelligent, tools that deliver factual information, often for business-critical purposes. When LLMs do surface harmful or dangerous content, they are on the hook. In Williams’s parlance, this makes them fundamentally “technocratising”, exerting the opposite force to social media’s radically democratising influence.”

Rama Bijapurkar: “Most plans rest on the logic of “industry is expected to grow at x per cent and, on that basis , we will grow y per cent”. Perhaps boards also need to do their bit in pushing customer centricity by asking (especially if the company is a market leader) how exactly industry growth happens and what customer-related assumptions underpin this forecast. They must also ask for growth plans to be broken down into components of price-led growth, mix (or portfolio)-led growth, and volume-led growth, and then ask “who”— not to be confused with “where” (geography) and “what” (product) — this growth will come from and why, Socratically drilling it all the way down to management’s foresight about customer behaviour. Yes, it works for all kinds of business, be they business-to-customer, business-to-business or direct-to-consumer!”

FT: “For all practical purposes, prediction markets seem to work as well as a gaggle of economic experts. However, sourcing the wisdom of crowds to help with decision-making can also lead to catastrophic failures. James Surowiecki, in his classic book The Wisdom of Crowds, explains that four criteria need to be met for a crowdsourced answer to be wise. Prediction markets are very good at two of them. They help aggregate private judgments into a collective decision and combine inputs from people with local or specialised knowledge. The remaining two criteria are where prediction markets can and do break down. In order for crowds to make more accurate forecasts than experts, there needs to be a diversity of opinion, and the opinions of the people in the crowd need to be independent of each other. These conditions are typically not violated when crowds try to predict technical issues like inflation or unemployment numbers.”

Peter Earle: “History suggests that the economic consequences of sweeping technological change hinge less on the invention than on the institutional ecosystem surrounding it. Electrification required factory redesign. The internal combustion engine required road networks and suburban development. The Internet required specialized software, new legal frameworks, and payment systems. Artificial intelligence will be no different. Its aggregate productivity impact will depend on education systems that adapt, firms that reorganize workflows, and regulatory regimes that neither stifle experimentation nor generate moral hazard. In that sense, the Productivity Panic of 2026 is likely to be less about machines replacing workers than about whether our institutions can evolve as quickly as our technologies.”

Atrium and Meridian: Twin Pillars for Marketing’s Next Act (Part 7)

Twin Pillars, New Economics

How Atrium and Meridian Complete NeoMarketing — and Open a New TAM

Complementary by design. Compounding by architecture. Transformative by economics.

  1. Atrium and Meridian are complementary by design, not coincidence. Atrium minimises CAC — it rebuilds attention among the Rest before brands are forced to pay twice. Meridian maximises LTV — it deepens relationships with the Best before they drift. One protects and reactivates the drifting majority. The other compounds value in the revenue-generating minority. Together, they attack AdWaste from both ends simultaneously — the attention failure and the incentive failure, addressed in parallel by two distinct engines, each purpose-built for a specific problem and a specific customer segment.
  2. The pillars share a common substrate, and that shared substrate is what makes the architecture a system rather than two separate products. Context Graphs power both engines — at cohort resolution for Atrium’s Rest customers, where behavioural patterns and engagement signals guide NeoMails, Magnets, and ActionAds; and at individual resolution for Meridian’s Best customers, where full decision-trace richness enables BrandTwins and M-Agents to operate at N=1. The customer journey flows across both engines naturally. A Rest customer reactivated through Atrium, rebuilding engagement habit through daily NeoMails, accumulating Mu through Magnets, eventually graduates — by behaviour, not by segment reassignment — into Meridian’s Best tier. The flywheel compounds across both engines. Attention earned by Atrium creates the raw material for Meridian to deepen into outcomes.
  3. This is the Three NEVERs turned into operational systems. Never Lose Customers: Meridian ensures the Best never drift into Rest by maintaining genuine memory, individual advocacy via BrandTwins, and outcome-aligned vendor economics. Never Pay Twice: Atrium ensures the Rest never reach reacquisition by maintaining a self-funding Relate channel that keeps the brand present without promotional pressure. Never Buy Fixed: Alpha pricing ensures the vendor’s commercial incentive is permanently and measurably aligned with the brand’s outcome. Three principles, two engines, one coherent architecture — and a flywheel that compounds because each component reinforces the next.
  4. For martech companies, the strategic consequence is the most important number in this essay. The software market — licences, seats, usage, subscription renewals — is approximately $50 billion in martech. That is a large market, and a squeezed one. The AdWaste market — the $500 billion that brands spend on reacquisition, attention decay, and misaligned vendor economics — is ten times larger. And beyond that, participation in the transaction economics of e-commerce itself: a percentage of the incremental revenue generated above baseline, compounding as Carry across a portfolio of client relationships. This is not incremental revenue. It is a different business — one that scales with outcomes and engagement rather than messages and licences, and that escapes seat-based compression entirely because it is tied to value created, not activity processed.
  5. Marketing’s next act does not belong to the vendors who build the best tools. It belongs to those who change what they sell — from inputs to outcomes, from software to self-funding infrastructure, from activity to accountability. Atrium and Meridian are not two new products. They are martech’s escape from the red ocean — and the clearest proof yet that the future winners in martech will not just sell software; they will monetise attention and underwrite outcomes.

Figure 4: The NeoMarketing flywheel — Atrium and Meridian compounding as complementary engines.

Key Takeaways: (1) The TAM shifts from the $50 billion software market to the $500 billion AdWaste market — and beyond that to a share of e-commerce transactions themselves. That is not incremental revenue. That is a different business. (2) The future winners in martech will not just sell software; they will monetise attention and underwrite outcomes.

**

Atrium vs. Meridian — The Twin Pillars Compared

Two engines · One NeoMarketing architecture · Different problems · Different mechanisms · One shared mission: eliminate AdWaste

Dimension ATRIUM — Attention Engine MERIDIAN — Outcomes Engine
Core problem solved Attention failure — zero Relate, rapid decay Incentive failure — input pricing, misaligned vendor
Primary objective Minimise CAC Maximise LTV
Customer domain Rest — the drifting 80% Best — the revenue-generating 20%
Category completed Email / ESP CEE / Customer Engagement Platform
System role Attention engine Outcomes engine
Primary mechanism NeoMails · Magnets · Mu · ActionAds · NeoNet Context Graphs · BrandTwins · M-Agents · Co-Marketer
Operating logic Build daily attention habit · make engagement frictionless Deliver N=1 decisioning and compounding relationship depth
Economic breakthrough ZeroCPM — ActionAd revenue offsets send cost No fixed fee · Carry earned on Alpha above Beta baseline only
Alternative to Paying Meta/Google to reacquire your own customers Paying vendors fixed fees regardless of client outcomes
Unit of value Attention earned and reactivation delivered Measurable revenue uplift above pre-agreed baseline
Success metric Attention Churn Rate ↓   Real Reach ↑   REACQ% ↓ Alpha Generated ↑   LTV ↑   Retention rate ↑
Strategic effect Email: cost centre → self-funding attention infrastructure CEE: software tool → outcome-underwritten partnership
Relationship to AdWaste Stops reacquisition before it starts Protects Best customers from drifting into reacquisition
Shared substrate Cohort-level Context Graph signals Individual-level Context Graphs + Decision Trace Graph
NEVER addressed Never Pay Twice Never Lose Customers · Never Buy Fixed

Table 1: Atrium and Meridian compared across fifteen strategic dimensions.

Thinks 1943

FT: “Meta, Google parent Alphabet, Microsoft, Amazon and Oracle [are] forecast to deploy $4tn of capital expenditure over five years, according to analyst estimates gathered by Visible Alpha, most of it on data centres they hope will reshape their businesses.”

David Oks: “When all is said and done, and the final accounting is made of all human ambitions and achievements and follies, and the final historian turns to that strange realm of human endeavor that we call “computing,” that strange enterprise that gradually grew to encompass an unbelievable share of human life and redefine the entire world around its logic: what will that final historian have to say? Probably they will start with the forerunners, with Llull and Babbage and Lovelace; and then turn to the true pioneers, to Turing and Church and Shannon and von Neumann; and then the masters of hardware, Noyce and Kilby, and of software too, Ritchie and Dijkstra; and eventually they will arrive at PageRank, recommendation systems, neural nets, the transformer architecture, and whichever system ended up bootstrapping itself into superintelligence and thus inaugurating an entirely new epoch of history. But somewhere in their chronicle of this grand arc, for at least a few pages, they will have to talk about the electronic spreadsheet.”

ICONIQ GTM Report. “Companies continue to diversify their GTM strategies by blending top-down and bottom-up motions, with high-growth companies increasingly leaning into bottom-up as a growth lever alongside upmarket expansion. As a result, revenue mix is becoming more balanced across motions; while direct sales and channel remain dominant, high growth companies expect to gain greater leverage from self-serve relative to peers (~20% vs. ~10% respectively).”

NYTimes on Silicon Valley’s ‘Tiny Team’ moment: “As artificial intelligence takes on more and more tasks, tech executives are embracing teams as small as two: one person plus A.I.”

Atrium and Meridian: Twin Pillars for Marketing’s Next Act (Part 6)

Meridian — The Outcomes Engine: Economics

Alpha Pricing — When the Vendor’s Incentive Becomes the Brand’s Outcome

Beta + Alpha + Carry. The commercial model that eliminates the incentive failure.

  1. Meridian’s most important innovation may be commercial rather than technical. Context Graphs give the system memory. BrandTwins give it individualisation. M-Agents give it autonomous execution. But none of those innovations fundamentally changes the relationship between vendor and client unless the pricing model changes too. Alpha pricing is the commercial architecture that makes Meridian structurally different from every CEE competitor — not because it costs less, but because it aligns who wins and who loses. The vendor has no guaranteed income. They earn only when the brand earns more than it would have without them.
  2. The Alpha pricing model has three components, all variable, none fixed. Beta is the brand’s baseline revenue — what the business would have generated without Meridian’s intervention. It is the benchmark, agreed and locked before execution begins, against which everything else is measured. Alpha is the incremental revenue generated above that baseline — the measurable uplift that Meridian’s intelligence layer, BrandTwins, and M-Agents produce above the brand’s existing trajectory. Carry is the revenue share taken from the Alpha generated — the vendor’s upside, tied entirely to what they add, not to what the brand was already achieving. There is no retainer. There is no base fee. If Alpha is zero, Carry is zero.
  3. The governance principle is equally important. All uplift is measured against a pre-agreed baseline with incrementality checks — not a moving target, not a self-reported improvement, but a shared ledger of actions and outcomes agreed before execution begins. This is what makes Alpha pricing auditable rather than aspirational. The NEVER Metrics dashboard makes performance visible and undeniable: Alpha Generated (uplift above baseline), LTV trajectory, retention rate, and the Adtech:Martech ratio that reveals how much of the brand’s marketing budget flows to owned channels versus paid platforms. When the numbers are transparent and the baseline is fixed, there is nowhere to hide — and no incentive to.
  4. Alpha pricing is borrowed directly from hedge fund economics — with one important difference that makes it even more aligned than the original. In alternative investment management, the standard structure is “2 and 20”: a 2% annual management fee regardless of performance, plus 20% carried interest on returns above the benchmark. The manager earns the management fee whether they beat the market or not. Meridian removes the management fee entirely. There is no retainer, no base payment, no guaranteed income. The brand’s existing revenue trajectory is the Beta — the benchmark, the baseline, the market return. Meridian’s job is to generate Alpha above it. The Carry is calculated on that Alpha alone. If Alpha is zero, Carry is zero. The vendor earns nothing until the brand earns more than it was already earning. That is not just performance-linked pricing — it is pure alignment, with no safety net on the vendor’s side.
  5. Alpha pricing completes CEE in a way that features alone cannot. It gives the system genuine memory via Context Graphs. It gives it individualisation via BrandTwins. It gives it autonomous execution via M-Agents. And it gives it aligned economics via Alpha. Never Buy Fixed made operational. When the vendor earns only by producing measurable lift above an agreed baseline — when their Carry compounds only if the brand’s Best customers remain loyal and growing — the entire incentive structure of the CEE category is rewritten. That is not an improvement on existing CEE economics. It is a replacement of them.

Figure 3: Meridian’s architecture — from Context Graphs through BrandTwins and M-Agents to Alpha pricing.

Key Takeaway: Alpha pricing is not a discount. It is a different commercial relationship — one where the vendor has genuine skin in the game and earns more only when the client earns more.

Thinks 1942

Ben Thompson: “The truth is that Apple’s lack of investment in AI was always going to be a short to medium-term win: the company doesn’t have to spend on infrastructure, and everyone still needs a device. The real threat is in the long-term: what happens if AI becomes so good that it obviates traditional user interfaces? Or, to put it another way, what if the point of integration that is most compelling is not a traditional operating system and hardware device, but rather AI and a dedicated device?”

Ethan Mollick: “AI capability has been running ahead of AI accessibility. The models have been smart enough to do extraordinary things for a while now, but we’ve been making people access that intelligence through chatbots. And, as that cognitive load research shows, the chatbot format is actively working against them. As interfaces improve, we’re going to see what happens when a much larger number of people can actually use what AI is capable of. Every new interface that closes even part of that gap will feel like a leap in AI capability, even when the models haven’t changed (though they are still changing). My guess is that a lot of the “AI disappointment” people sometimes express comes not from the AI being bad, but from the interfaces being wrong. We built one of the most powerful technologies in recent history and then made people access it by typing into a chat window. That will change soon.” [via Jaimit]

WSJ: ““The Laws of Thought” is…a rigorous and captivating account of how cognition can be modeled via three mathematical frameworks: logic, artificial neural networks (“mathematical systems that emulate the operation of the brain”) and probability theory. It’s a “quest for a mathematical theory of the mind,” as the subtitle puts it—opening with Aristotle and ending with artificial intelligence.”

Logan Bartlett: “Across the internet, cloud, and mobile eras, the companies that became durable winners were predominantly founded in years 4 and 5 of each platform shift. Google and Salesforce after Netscape. Snowflake and Datadog after AWS launch. Robinhood and Coinbase after the App Store. ChatGPT launched in November 2022. We are in year 4. It certainly feels possible that OpenAI and Anthropic capture the lion’s share of value this go round, but the last 3 transitions were largely consistent in this. This is also the most crowded, fastest-moving, highest-bar environment I’ve seen, with rounds closing in days and valuations that require exceptional execution to justify from day one. It’s hard not to be excited and uncertain every day.”

Atrium and Meridian: Twin Pillars for Marketing’s Next Act (Part 5)

Meridian — The Outcomes Engine: Intelligence Layer

Context Graphs, BrandTwins, and M-Agents — Genuine Memory at Scale

From data to memory. From segments to markets of one. From operators to autonomous systems.

  1. Meridian is NeoMarketing’s answer to the incentive failure. Its domain is the Best — the 20% of a brand’s customer base generating the majority of revenue. These customers are already acquired. The challenge is not to find them again — they are present, active, and spending. The challenge is to deepen the relationship, expand LTV, and ensure they never quietly slip into the drifting middle. Best customers rarely announce their departure. There is no dramatic churn event, no complaint filed, no cancellation form submitted. They simply buy less. Their engagement frequency drops. Their basket size shrinks. And by the time the metrics reflect it, the drift and exit is already well underway.
  2. The intelligence foundation of Meridian is the Context Graph. This is a decisive move beyond static data and static segments. The Customer Context Graph captures evolving customer state — preferences, engagement patterns, purchase momentum, fatigue signals, category affinity, and brand sentiment. The Product Context Graph captures the world of offers, substitutes, complements, inventory positions, and margin economics. The Decision Trace Graph captures what marketing actions were taken with this customer, why they were taken, and what outcomes followed. Together, they give the marketing system genuine memory — not storage, but usable, decision-relevant intelligence about each individual Best customer. A segment tells you where a customer sits. A Context Graph tells you who they are, how they move, and what they are likely to do next.
  3. Built on Context Graphs, BrandTwins are AI-powered individual customer advocates — N=1 personalisation at scale, one per Best customer, each with its own live ledger tracking actions and outcomes. Where current CEE treats customers as members of segments, BrandTwins treat each customer as a market of one. One Best customer may be momentum-rich but fatigue-sensitive: send too often and they disengage. Another may respond powerfully to discovery and novelty but not to discounting. Another may be at quiet drift risk despite apparently healthy aggregate metrics. The BrandTwin holds that evolving, individual understanding — and acts continuously to preserve relevance, deepen the relationship, and steer the customer away from the drift pattern before it becomes visible in the data.
  4. The orchestration layer is M-Agents: single-purpose marketing agents — Insights, Audience, Content, Decisioning — coordinated by a Co-Marketer orchestrator into a multi-agent system. This matters because one of martech’s most persistent problems has not been lack of features but lack of usable operational intelligence and purposeful execution. CEE platforms became extraordinarily capable — and extraordinarily underutilised. Teams were handed powerful instruments and not enough and capable drivers. M-Agents change that. The Co-Marketer orchestrates the single agents into a system that works toward defined outcomes. The platform no longer waits for human configuration of every branch, every workflow, every trigger rule. It becomes an autonomous system executing toward agreed goals — with the brand’s marketing team shifting from operators to strategists.
  5. The TWIN data framework underpins all of this. T — Transactional data. W — World data: context, macro signals, category dynamics, external environment. I — Individual data: preferences, behavioural history, engagement patterns. N — Nano data: moment-level signals, real-time intent, micro-context. Together, TWIN gives BrandTwins and M-Agents the data richness they need to move from pattern-matching to genuine individual prediction — and from prediction to action. The system knows not just what each Best customer has done, but what they are likely to do next, and what intervention is most likely to compound rather than disrupt the relationship.

Key Takeaway: A segment tells you where a customer sits. A Context Graph tells you who they are, how they move, and what they are likely to do next. That is the difference between data and memory.

Thinks 1941

Andy Kessler: “Even with discipline, the reason “no side quests” is such a bad idea is that success comes via surprises. Progress demands surprises. Even as of a year ago, OpenAI’s ChatGPT was the undisputed leader in AI. But Anthropic, a company premised on model safety, wasn’t sleeping. As a side project, engineer Boris Cherny built a prototype to control Spotify with Anthropic’s AI Claude. It spread rapidly inside Anthropic and updated to read and write local files and write code. Claude Code tracks its coding mistakes and, in effect, teaches itself how to write better code automatically from simple prompts. Anthropic went from a $4 billion run-rate company nine months ago to $19 billion today. OpenAI is scrambling to catch up. Surprises happen again and again. Penicillin. X-rays. Post-it Notes. Arno Penzias at Bell Labs won the Nobel Prize in Physics for discovering “cosmic microwave background radiation” from the Big Bang.”

TheMaxSource: “Companies rarely fail because the idea was bad. They fail because the internal pieces that must work together never align…Think of [the McKinsey 7S model] as a management X-ray. It shows what is working, what is contradicting and what is missing. When these elements reinforce each other, organizations gain clarity, speed and competitive fitness. When they are misaligned, growth stalls, execution breaks down and leadership has to constantly push instead of the business pulling itself forward.”

TheGreySwan: “The Inversion Point [is] that precise moment when a system’s deepest strength—its most optimized feature—mutates into its most binding constraint. It is the point when/where our past successes become the walls of our future prison.”

Shankar Sharma: “True investment genius isn’t so much about getting bull markets right. Most do. Oraclehood is conferred only when you get bear markets right. That’s Buffett’s cloaked edge that nobody told you about. And anybody with that wizardry won’t be wasting his time managing your money for 1 per cent per year.”

NYTimes: “With seeds, supplements and gadgets (but little expert guidance), Americans of all stripes are seeking wellness through what they eat.”

Atrium and Meridian: Twin Pillars for Marketing’s Next Act (Part 4)

Atrium — The Attention Engine: Economics

ZeroCPM, NeoNet, and the Self-Funding Attention Infrastructure

When the email programme funds itself — the CMO objection dissolves.

  1. The architectural insight behind Atrium is the Relate channel. The economic breakthrough is ZeroCPM. ActionAd revenue — brands paying to place targeted, contextually relevant ads inside NeoMails — is designed to offset the cost of sending. As the programme scales, as fill rates build toward target, and as the value of the attention surface increases with engagement quality, the cost-per-thousand (CPM) of sending trends toward zero. In a mature implementation, the NeoMails programme becomes self-funding: the attention economy inside the email covers the infrastructure cost of maintaining it.
  2. This changes the internal conversation at the brand. The standard CMO objection to investing in dormant customers is simple and understandable: ‘I cannot justify budget on people who may never come back, when I have paying customers to serve and acquisition targets to hit.’ ZeroCPM dissolves that objection. There is no incremental budget required to maintain a Relate relationship with the Rest. The programme funds itself through the attention it creates. The Rest customers cost nothing to reach, and everything to ignore — because the cost of ignoring them is the Reacquisition Tax paid later when they are bought back through paid channels.
  3. NeoNet extends Atrium’s reach beyond the customers who are simply drifting into the customers who have gone fully dark on a brand’s owned channels. Some Rest customers still engage — just not with this brand. They may be actively reading another brand’s NeoMails, opening a category competitor’s emails, or engaging elsewhere in the attention network. NeoNet is a cooperative brand network where Brand A’s NeoMails carry ActionAds for non-competing Brand B — single-tap opt-in, deterministic identity matching, a fraction of the cost of programmatic reacquisition. Instead of bidding blindly in an open auction to reach a customer you already own, you reach them through an authenticated attention surface that already exists. Recovery becomes cooperative rather than competitive.
  4. The NeoNet mechanism operates in both directions. NeoNet Recovery reactivates dormant customers back to their original brand through the cooperative attention network. NeoNet Acquisition brings new subscribers to Brand B as a direct result of Brand A’s NeoMails carrying ActionAds — a single-tap opt-in that transfers a customer deterministically, with Brand B paying a transfer fee only when it chooses to send promotional communications to that customer. NeoNet is the structural alternative to paying Meta and Google for customers you already own — or for customers you could acquire cooperatively. The economics are categorically different: deterministic reach, authenticated identity, and a transfer fee that is a fraction of open-market CAC.
  5. Atrium’s commercial promise is auditable and concrete: Zero CAC for Rest customers. Not lower CAC. Not improved efficiency on existing spend. Zero CAC — self-funded by the attention economy that NeoMails creates inside owned email infrastructure. This is not an incremental improvement on existing ESP economics. It is a different business model built on the same channel. And the difference is felt in the P&L, not just on the dashboard. Brands that implement Atrium are not optimising their email programme. They are changing what their email programme is for.

Figure 2: Atrium’s four-component architecture — NeoMails to ZeroCPM to NeoNet to Zero CAC.

Key Takeaway: When ActionAd revenue offsets the cost of sending, the CMO objection disappears. You cannot be accused of wasting budget on dormant customers if the programme costs nothing to run.

Thinks 1940

FT: “[Indian] cinema attendance last year fell 6 per cent from 2024 levels to 832mn, the lowest in a decade barring the pandemic years, according to Ormax Media, a consulting firm tracking India’s entertainment sector…“We are combating gaming, we’re combating streaming, we’re combating sport, we’re combating attention span, because of reels and Instagram,” says Karan Johar.”

Arnold Kling: “Here is one of the puzzles: trading volume in the stock market. Rational investors would not trade often. If you believe the Efficient Market Hypothesis, then you do not assume that you can outsmart the market. Trading to try to beat the market is a losing proposition. In fact, the overwhelming majority of individual investors do not trade frequently. But trading volume far exceeds anything that a model would predict, assuming rational individuals. A small minority of individuals account for most of the individual trading. But institutional investors appear to account for more trading than do individuals (reliable data are not easy to come by). One economic model is that there are “noise traders,” who make trades on the basis of useless or misleading information. Opposite them are market sharks, who buy what the noise traders sell and sell what the noise traders buy…We cannot think in terms of the market acting like a single man, rational or otherwise. Market outcomes reflect the bets made by irrational men with many different beliefs and strategies. The net result is that stock prices cannot be systematically predicted. So the market as a whole is weakly efficient, or weakly rational if you will.”

Bloomberg: “[Xiankun] Wu, 31, designed Junior for almost any business, equipping it with the ability to tap into company data and communications challenges, along with the organizational memory it needs to know who does what and how colleagues are connected to each other. Wu is now courting global corporate customers, offering Junior as a full-fledged AI colleague capable of managing work processes within small and medium enterprises — at a cost of $2,000 a month. Junior has its own phone number, email and Slack account. It can join every Zoom call. “Getting used to the AI agent can be exhausting,” said Wu, who splits his time between Silicon Valley, Hong Kong and Shenzhen…The proposition is blunt: it’s labor, but AI-defined. Junior drafts marketing campaigns, updates customer relationship management systems, monitors inboxes, tracks deadlines across departments and generates reports. It does so proactively: Instead of waiting for prompts, it scans internal communications, identifies gaps and relentlessly nudges employees to close them”.

FT: “If the lessons of previous periods of wrenching change are anything to go by, much of today’s business establishment will muddle through, even as a handful of new AI giants rises to become the most visible winners from the technology. Economic history has shown that “most industrial change happens by very large new companies doing big things,” says Bradley. “And then the rest of the economy kind of just carries on.” Behind that “just carrying on”, there will be no shortage of upheaval, churn and disruption.”

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.