Adtech Is Marketing’s Kill Chain — NeoMarketing Is Its Relationship Loop

Published June 1, 2026

A new book about how the Pentagon put AI at the centre of warfare made an uncomfortable idea click into place. Marketing already has its own version of that machine, and it is called adtech. This essay argues that adtech is marketing’s kill chain — a find-fix-finish-feedback cycle pointed at customers — and that the alternative is not a faster or kinder chain, but a different shape entirely: the relationship loop that NeoMarketing is built to be.

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What Project Maven Revealed

1. I have been reading Katrina Manson’s Project Maven, an account of how the United States military put artificial intelligence at the centre of how it fights. The programme began in 2017 as the Pentagon’s Algorithmic Warfare Cross-Functional Team, built to turn an unmanageable firehose of drone and surveillance footage into faster decisions. It later became contentious in public — thousands of Google employees protested their company’s involvement, and Google did not renew the contract. It is a gripping and uncomfortable book about the moment AI crossed from experiment into operating doctrine. I did not expect it to change how I think about marketing.
2. The book is built around four words: Find, Fix, Finish, Feedback. That sequence is the targeting cycle — what the military calls the kill chain. Find what matters in the data; fix its identity and location; finish the action; feed the outcome back so the next cycle is sharper. AI’s role was not to add intelligence in some abstract sense. It was to compress that cycle — to shrink the gap between a signal and an action until the machine, not the human, set the tempo. The human in the loop became the slowest step, and then the step to remove.
3. Marketing has borrowed military language for as long as it has existed. We run campaigns. We pick targets. We talk about acquisition, segments, conquesting, war rooms. For decades this felt like harmless metaphor — colourful borrowing, nothing more. Reading Manson, I stopped being sure it was metaphor at all. In one corner of marketing, the military vocabulary is not borrowed. It is literal. That corner is adtech.
4. My first instinct was the obvious one. If AI can become the operating doctrine of warfare, marketing needs the same thing — its own Project Maven, a benevolent one: AI moving from a feature bolted onto campaigns to the system running underneath them. It felt like a strong idea. A few chapters later I realised it was wrong — not the ambition, but the framing.
5. It is wrong because marketing already has its Project Maven. It was built over fifteen years, it runs continuously, and it has a name. Adtech is the find-fix-finish-feedback machine — and it has been pointed at customers all along. Adtech finds the audience, fixes the identity with a pixel, finishes with a conversion, and feeds the outcome back to sharpen the next cycle. Marketing did not need to build a Maven. It built one a decade ago and forgot to be alarmed by it.
6. So the idea that actually landed was sharper, and less comfortable, than the one I started with. Adtech is marketing’s kill chain. Not a turn of phrase — a structural description. The same four steps, the same compression of signal into action, the same logic in which the human is friction to be removed, applied not to combatants but to the customers a brand has already paid once to acquire.
7. That reframes the question entirely. Marketing’s problem is not that it lacks a Project Maven; its problem is that the one it has is a chain — and a chain ends on a Finish. The shift marketing needs is not a faster chain, or a kinder one. It is a different shape: a loop, where the customer is not the target at the end of the cycle but the partner the cycle exists to keep. The rest of this essay is about that shape.

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Find, Fix, Finish, Feedback

8. Look at adtech as those four steps and the fit is exact, not approximate. Find. Adtech finds audiences — lookalikes, intent signals, behavioural segments assembled from activity tracked across thousands of sites the brand has nothing to do with. The brand does not know these people. The platform finds them, and rents the brand access.
9. Fix. Adtech fixes identity. The pixel, the cookie, the device graph, the marketplace identifier — each one pins a moving customer to a stable, trackable target. Fixing is the step that makes everything after it possible. You cannot finish what you have not first fixed in place.
10. Finish. Adtech finishes with the conversion — the click, the purchase, the terminal event the whole chain exists to produce. In the military kill chain the Finish is a strike. In adtech it is a transaction. In both, the Finish is the point of the exercise: the cycle is built to end on it, and the moment it ends, that cycle is complete and the next one starts cold.
11. Feedback. The outcome trains the model — and this is the step that matters most. The feedback compounds for the broker, not for the brand. Every cycle makes the platform’s targeting sharper, its next auction smarter, its grip on the attention tighter. The brand pays each time and owns none of the learning. In this system the customer is not a relationship. The customer is the target the machine gets better at hitting.
12. There is a moral structure underneath this, and the book makes it impossible to miss. Maven became controversial not because AI was analysing data, but because AI was being placed inside a chain that could end in force — and every protest around it came down to one question: should a human remain in the decision? Adtech’s stakes are not lethal, and the comparison should not be overdrawn. But the structural question is the same one. In the adtech kill chain, who decides what the customer sees — and who carries the cost of being targeted? The customer sits in neither seat. Consent was never one of the four steps.
13. This is why the answer cannot be a gentler chain. You cannot make a kill chain benevolent by attaching an ethics review to it, because the problem is not the intent — it is the shape. A chain is linear. It ends on a Finish. It treats whatever sits at the end as a target. A more considerate targeting chain still targets. To change what the system does to the customer, you have to change its geometry, not its manners.
14. So the part of my first instinct that was right was the part about operating doctrine — AI should become the system underneath marketing, not a feature beside it. What was wrong was the shape, and the target. In marketing, the customer was never the enemy. The enemy is attention decay; the enemy is reacquisition; the enemy is paying twice for a customer the brand already had. A kill chain aims the most powerful instrument marketing has ever had at the wrong thing. What marketing needs is a relationship loop — a cycle with no Finish, in which the transaction is a waypoint and the customer persists into the next turn. That is what NeoMarketing is built to be: not a faster chain aimed at customers, but the operating layer that recovers them before any chain can reach them.

Figure 1. Two shapes for AI in marketing. The adtech kill chain is linear and ends on a Finish — the customer is the target. The NeoMarketing loop is cyclical and has no Finish — the customer persists at the centre, and the learning compounds for the brand.

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The Loop, Not the Chain

15. NeoMarketing is the counter-architecture, and it is defined by its shape before anything else. Where the kill chain is linear and ends on a Finish, the loop is cyclical and has none. The transaction is not the terminus — it is a waypoint, and the customer persists into the next turn. Same raw materials as adtech: AI, signals, decisions, speed. Opposite geometry — and the geometry is the doctrine. A chain is built to complete a conversion. A loop is built to keep a customer.
16. The loop also runs on a different question. The kill chain asks: who can we find, fix, and finish? NeoMarketing asks: whose attention is decaying, and what should we do before the relationship breaks? The first question treats the customer as something to be located and converted. The second treats the customer as a relationship to be kept. Every difference that follows — economic, operational, moral — descends from that single change of question.
17. The loop has four beats of its own, a deliberate inversion of Find, Fix, Finish, Feedback. Sense the customer’s state — read where a known customer sits on the attention axis, rather than find a stranger. Orient on the relationship context — the prior history the kill chain discards. Act with the next intervention — recover attention, rather than extract a conversion. Compound — record the Decision Trace and let it grow the brand’s asset, not a broker’s model. A chain ends. A loop returns, and is larger each time it does.
18. NeoMarketing occupies a specific place in the stack: Post-CRM, and Pre-Adtech. It begins where CRM’s reach has faded — where a customer has stopped responding to ordinary owned-channel messaging — and it operates before the brand pays the adtech reacquisition tax. CRM works while attention holds. Adtech works once the brand is willing to pay twenty to twenty-five percent. Between them sits the customer who has gone quiet but should never be handed to the kill chain at all. That customer is the loop’s whole reason to exist.
19. Seen step for step, the contrast between the two architectures stops being rhetorical and becomes structural. Every row in the comparison below is a design decision, and at each step NeoMarketing makes the opposite one — not because the opposite sounds better, but because the loop is solving a different problem from the chain. The chain exists to complete a conversion. The loop exists to keep a customer.

Figure 2. The kill chain and the loop, step for step. Every row is a design decision; the loop makes the opposite one at each step.

20. None of this makes the loop the easy choice. The kill chain is the path of least resistance — already built, already funded, already the default; a brand can buy into it this afternoon. The loop has to be assembled, and run, on purpose. But the two shapes build different things. Every turn of the chain rebuilds the broker’s asset. Every turn of the loop builds the brand’s. That is the trade this essay is really about — and it is worth the harder path.
21. A shape, though, is only a promise until something runs inside it. The loop has to sense real attention states, orient on real relationship context, and act through real channels — and that calls for engines built for exactly those tasks. NeoMarketing has two of them. The next part goes inside the loop: what it senses, why it is structurally cheaper than the chain, and what Atrium and Meridian each do to keep the wheel turning.

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Inside the Loop

22. Begin with what the loop senses. The kill chain senses intent — signals that someone is in-market now. The loop senses something earlier and quieter: attention. Revenue decay begins as attention decay. A customer does not usually stop buying and then stop paying attention; they stop paying attention first, and the lost transaction arrives months later. By the time a customer registers as lapsed in the data, the relationship has been weakening, unnoticed, for a long time. The loop is built to see that early — to treat attention as its own axis, rather than wait for the transaction to fail.
23. This is why the loop tracks state, not just tier. A customer has a transaction tier — what they have bought — and an attention status — whether they are still listening. Rest is not a tier at the bottom of a ladder; it is the attention-lost condition, and it appears across every tier. A Rest-from-Best customer and a Rest-from-One customer have lost attention in the same sense but carry very different recoverable value. The loop senses both axes. The kill chain, and the dashboards built in its image, see only the transaction.
24. The loop is also structurally cheaper, and the reason is the starting point. The kill chain starts cold — it rediscovers the customer from behavioural exhaust, having discarded everything the brand already knew. The loop starts warm. It begins from prior relationship context: last category, message history, channel response, purchase tier, attention status. A warm start is both lower-tax and faster, because it does not pay to rediscover what the brand already owns. Where adtech reacquisition runs at a twenty to twenty-five percent tax, the loop runs at a fraction of it — on customers the brand already has.
25. Two engines turn the loop. The first is Atrium, the attention engine, for Rest and Next customers. It earns attention back through NeoMails and the units that ride inside them — Magnets, Mu, ActionAds — and through NeoNet, the cooperative recovery network. Atrium does not open with ‘buy now.’ It opens with a reason to engage, and it drives the cost of acquisition towards zero by recovering customers the brand has already paid for once — and should never have to pay for twice.
26. The second is Meridian, the outcomes engine, for Best customers. Where Atrium recovers attention, Meridian converts it: it uses M-Agents, Context Graphs and the Decision Trace to turn a recovered relationship into the next transaction, and the one after that. Meridian is not a targeting machine; it is an outcomes-underwriting machine — accountable for the lifetime value it produces, not the impressions it serves. Atrium compresses time-to-attention. Meridian compresses time-to-transaction. Together, they are the loop running.
27. And here the loop’s defining property appears. A chain is a cost: each turn starts cold, ends terminal, and the learning it generates compounds for the broker. A loop is an asset: it compounds for the brand. Atrium recovers attention at low cost; Meridian converts that attention into outcomes and lifetime value; the lifetime value funds the next round of attention investment; and every turn leaves behind a richer Decision Trace and a larger owned-attention surface. The wheel does not merely turn — it carries more each time it does.

Figure 3. The loop compounds. Atrium recovers attention; Meridian converts it into outcomes; lifetime value funds the next round of attention; and every turn leaves the brand a larger asset — owned attention, Decision Trace, lifetime value — than the turn before.

28. AI is going to become the operating doctrine of marketing. That much of the Project Maven instinct was right, and it is already happening. The only open question is the shape it takes. The kill chain is built and waiting; the relationship loop has to be chosen, and built, on purpose. That is the work NeoMarketing exists to do. Marketing does not need AI to target customers faster. It needs AI to stop losing them in the first place. Adtech already built marketing’s kill chain. The loop is what marketing has to build now.