Writing & appearances.

AdExchanger Data-Driven Thinking. An AI agent can stay inside its budget and still spend too much, because the evidence arrives after the money is committed: the proof gap. A risk budget limits what may ride on an untested change, a contract assigns a defined loss to a counterparty, and a funded balance sheet has to back the promise to pay. The fourth piece in the series on signals, measurement and authority.

The answer box's refusal log is a writing brief only once you know who asked: the eight refusals that sent me to write an essay were my own test suite, the pages that answered them were already on the site, and a log that mixes evaluation runs with readers is not demand.

Marketing has no shortage of data; the challenge is turning it into decisions that drive growth. The panel covers which marketing metrics matter at the C-level, how attribution, incrementality and ROI are evolving with AI, and how teams move beyond dashboards to prove real business impact.

Recording

A retraction of the 2025 claim that embeddings are privacy-safe: abstraction is not anonymity, embeddings are not anonymous by default and the controller carries the burden of proving otherwise, deletion is tractable in the vector store and unsolved in the model beside it, and the Agentic Audiences schema leaves consent out of its required fields.

A DOOH number is one near-observed event, one auditable claim and three models stacked on top — play, venue, crowd, audience, outcome — and running the Instrumentation Test backwards lands the punchline: DOOH is the one channel where reach and frequency still keep their referent, because a crowd on a concourse was never loggable and everyone always knew it.

Advertising Week AW360 column. Agents will sit between customer intelligence and marketing action — deciding, executing, measuring and adjusting — so the governance question becomes decision rights and action rights, not data access. Accessible data tells an agent what exists; decision-ready intelligence tells it what the data means, whether it may be used, for what, and what action it is permitted to take. DMP to CDP to clean room to warehouse-native each moved control closer to the enterprise; agentic on the warehouse adds decision and action control, with the audit record as what makes the accountability real rather than asserted.

AdCP 3.2's first release candidate adds a vendor_relationship enum — first_party, affiliated, third_party — that forces a seller to declare its relationship to whoever is measuring it, with silence read as undeclared rather than independent.

DMEXCO column. An LLM can infer what a field means, but it cannot prove the data was authorized, that a signal came from a legitimate source, or that an agent stayed inside its delegated authority. Standards exist so markets can coordinate, not so machines can read — so agent autonomy changes what standards are for rather than removing the need for them.

Two seasons of the Friday Thought Experiment put 16 questions and 64 options to the same room and collected 786 ballots across all sixteen. Read as one ledger, they were one question asked sixteen ways: when an agent acts for you, who can say no, and who can be held to the answer? Season 1 found the institution that question needs. Season 2 found where the money settles once it exists. In between, the room changed its mind in public, and the reversals are the most useful data in the set.

Season 2's sixth poll asked what wins the bid when every seller can claim performance, and 37 ballots put Verifiable outcomes on top with 54%. Lowest price took 21%, Proprietary data 13%, Exclusive supply 10%. The finding isn't the winner, it's the comparison: seven days earlier the same room priced verifying results at 21% when it appeared as a job an intermediary does, and the identical idea took two and a half times the support once it was worded as a property of the offer. Sold as a service, proof polls like overhead. Built into the offer, it wins the bid. The week's term is the Evidence Premium: the price gap between a claim a buyer has to take on faith and the same claim carrying proof the buyer's own side would accept. It is not collected by whoever has the best number, it goes to whoever can produce a number the counterparty accepts without reopening the negotiation, and almost no seller holds that arrangement. The accreditation layer already built this machinery one layer down — research proves a method is valid, accreditation proves a number is transactable — and the MRC's annual audit clock says the premium is a subscription rather than a purchase. Nothing accredits an agent-generated claim yet, which is why the 21% who picked price are reading the next two years correctly. My vote went to Verifiable outcomes, with an interest to declare and a concession about who ends up funding the check.

In 2025 the industry agreed it needed a shared layer for exchanging user context between agents, LiveRamp proposed one, donated it to IAB Tech Lab in late 2025, and it was renamed Agentic Audiences by early 2026 and filed under AAMP. Read at the repository rather than the press release, that layer has eleven commits since its creation in October 2025, no releases and no tags, two pull requests still open, a spec still headed Draft v0.1, and a wire format string that still carries the retired name. Its one working integration — the OpenRTB community extension on Segment.ext.aa and the Prebid.js RTD module — shipped inside a four-week window between March 22 and April 14, 2026 and has had nothing added since. Meanwhile the job got done twice somewhere else: AdCP's Trusted Match carries contextual embeddings at serve time against a 50ms provider timeout inside the router's latency budget, and AAMP's in-bidstream runtime ARTF reached v1.0 on July 20, 2026 with gRPC bid mutations under tmax. Neither references the other's embedding vocabulary. The mechanism is not a governance failure, it is a latency budget: an embedding is only worth carrying if it arrives before the auction closes, so every decision about dimensions, quantisation and timeout behaviour is a property of a runtime, and whoever holds the clock ends up holding the vocabulary. A neutral layer donated to a standards body is not the same thing as a layer that ships. The general test, applied here to AdCP as well, is commits, tagged releases and whether the one integration that exists is still maintained — and it closes with a checkable prediction about what would prove Agentic Audiences is maintained rather than parked.

Season 2's seventh poll asked who owns the customer relationship when an agent chooses the brand, and the four options turn out to be four different senses of the word own. The consumer owns the intent, the brand owns the fulfilment, the agent platform owns the interface, the data holder owns the record — and only one of those can be exercised without anyone's permission. The week's term is Interface Capture: the party that receives the intent accumulates the relationship whoever fulfils the transaction and whoever signs the contract, because it is the only party that can open the next conversation without asking. The test is not who was present at the sale, it is who can start the next one unilaterally. Shopify publishes the list of checkout blocks that do not load in an agentic direct checkout, and it is loyalty, the consent block and the client-side pixel — the merchant's entire apparatus for turning a buyer into a customer. Meanwhile the Agentic Commerce Protocol does hand the merchant the buyer's real name, email, phone and address. The record arrives; the permission does not. Booking Holdings now files that mechanism in its own risk factors, two federal appeals courts decided the compellability and the defensibility of the position a day apart in August 2026 and the interface won both, and AdCP's own data-protection analysis assigns the first-party role to the interface holder rather than the brand. My vote went to the brand, which is the party with the best claim in equity and the worst claim in mechanism, and I say why I am not changing it.

Season 2's fifth poll asked which intermediary function stays valuable once agents transact directly, and 19 ballots put Assuming risk on top with 42%. Finding counterparties and Verifying results tied at 21%. Negotiating price finished last at 16% — one week after a third of the room called price the hardest thing agents will negotiate. That gap is the essay: hard and worth paying a middleman for are different properties. The week's term is the Risk Residue. Strip the information work out of intermediation — the finding, the matching, the price discovery — and software does all of it at zero marginal cost. What is left is balance-sheet work, because software cannot absorb a loss. Absorbing a loss needs capital, a legal person to hold it, reserves priced against the miss, and an incentive not to lie about all three. The intermediary of the agent era looks less like a marketplace with better matching and more like a small clearinghouse: escrow, guarantee, spread. Verification is the interesting near-miss — scarce only while it stays independent, because an agent employed by one side of the trade cannot check the other side's numbers. My vote went to Assuming risk, and I changed it mid-week from Negotiating price, which is the argument this essay has with itself.

The Season 2 finale. Eight Fridays asked where advantage, money and power move once agents can act, and the closing question puts the season's own weeks on the ballot: objectives were Week 1, access Weeks 2 and 7, execution Weeks 3 and 4, verification Weeks 5 and 6. The room is ranking its own arguments without being told that is what it is doing. Two findings come out of the ledger rather than the news. The season's opening answer lost to itself — proprietary data took 78% of Week 1 when the question was what creates an edge, and 13% of Week 6 when it was what wins a bid — and two of the finale's four control points were already on the Week 1 ballot in different words, finishing at 4% and 7%, two of the three lowest scores of the season. The room prices what it imagines holding and discounts what it imagines going through. The week's term is Where the Surplus Settles, and the criterion is not refusal but binding refusal: surplus settles where the refused party has no substitute it can route to. That rules out the tidy version of this argument. Verification is not structurally excluded from capture, since credit rating agencies are pure examiners running operating margins around 64%; an examiner captures in proportion to how much its verdict moves the price, and in advertising it moves none — DoubleVerify measured 9.5 trillion transactions in FY2025 at seven cents per thousand, falling. Amazon told Perplexity no in writing, in code and in court and lost, not for want of authority but for want of a way to tell who was at the door, which makes refusal an identity problem before it is an access one. And binding refusal attracts the state: three federal courts found access rents and three declined to remove them, while the ad tech remedy left the asset in place and took away the refusal.

Contextual won its argument and kept selling the win as a targeting method — the smaller thing it turned into. The larger one: it is now the decisioning layer the supply side runs on, curated deal IDs carry 73% of bidding opportunities, and the next cycle goes to packaging that can answer for itself when an agent interrogates it.

AdExchanger Data-Driven Thinking. AI can interpret data and bridge systems, but it cannot establish trust — as agents move from assisting to deciding, standards must cover provenance, permission, delegation, and auditability, making trust a real-time execution layer rather than an after-the-fact audit.

Rick Bruner's account of bringing experimentation to AdCP credits Evgeny's proposal to extend the mechanism to H3 cells.

Nate Woodman's analysis of the AdCP time-unit proposal he and Evgeny co-wrote, quoting Evgeny from the proposal thread.

This site's ask box declined a question on how to measure DOOH and place-based media eight times, in what turned out to be its own test runs. The answer: a DOOH number is one near-observed event, one auditable claim, and three models stacked on top — a chain the channel has been honest about since 1933. Run the Instrumentation Test in reverse and the punchline lands: the channel everyone calls unmeasurable is the one where reach and frequency still mean something.

Season 2's fourth poll asked what buyer and seller agents will negotiate hardest, and 55 ballots produced the tightest finish of the season: Success criteria at 34%, Price at 32%, Audience definitions and Liability at 16% each. Read as a block, two-thirds of the room said the hardest negotiation is no longer the number — it's the nouns around the number. That's the week's term: Negotiating the Nouns. Automated negotiation is mostly semantic negotiation wearing a price tag. Price is the one term on the ballot machines already clear — fifteen years of real-time auctions settled it to the millisecond — and it stayed easy only because every other term was held still by convention: the audience was a list name on an insertion order, success was handled at the QBR, liability was boilerplate nobody read. An agent can't execute ambiguity. Every term has to parse before a dollar moves, so the negotiation migrates from the price line into the definitions — what counts, whose count settles it, over what window, against what baseline. My vote went to Success criteria, and it won by two points; the 32% who picked Price weren't wrong either, because every noun left unsettled eventually presents its invoice as a price dispute.

Season 2's third poll asked what autonomous buying agents will ultimately buy, and 73 ballots produced the clearest majority of the season: Outcomes at 57%, with Impressions at 27%, Audiences at 8%, Attention at 6%. The room voted for the one unit on the list that nobody can currently sell, because selling an outcome means warranting it, and warranting it means pricing the failure case. That pricing function — Outcome Underwriting — is the institution the whole result quietly depends on: a definition both sides accept, a measurement both sides trust, a settlement window, and someone who pays when the outcome doesn't happen. The first three are measurement work. The fourth is capital. Outcome optimization exists inside the walled gardens; outcome insurance does not. Owned loops reprice faster and sometimes carry action-level variance, but no scaled platform guarantees the advertiser's business result. My vote went to Outcomes anyway — for where the market ends, not for what's tradable now — and the 27% who voted Impressions weren't nostalgic; they named the only unit with a working settlement stack, which is why it gets demoted to the receipt rather than killed.

The Season 1 finale. Eight Friday polls were one question asked eight ways — who issues the credential that lets an agent act? — and the room's own ballots supply eight structural constraints on the answer. Run the three candidates against all eight and only one survives: protocols carry the credential, constitutions bound it, contracts create it. The issuing layer is an Answerer of Record — the agentic successor to adtech's seller-of-record — because trust is conferred, never computed.

I rebuilt the retrieval system behind Ask Evgeny in one day: traces on every query, a 975-node knowledge graph, authority buckets on every position, and three model upgrades running in shadow. The most important thing that shipped is the feature that measured itself and refused to launch.

Season 2 opened by proposing that once every advertiser has a capable buying agent, advantage moves to the quality of the mandate. Forty-two operators voted, 78% chose proprietary data, and the mandate came last at 4%. The room is right about the market as it stands, and the reason has nothing to do with which asset actually decides the outcome.

AppLovin and Criteo show why measuring an outcome is easier than putting a balance sheet behind the miss. The open web can define an outcome, measure it and settle a campaign. What it cannot do is guarantee that outcome across company boundaries, and neither, it turns out, can the walled gardens: AppLovin's 10-K says no fixed price per action, and Meta's own documentation says the cost cap is not guaranteed. AppLovin's advantage is a closed loop that lets one company observe performance, adjust price and keep the spread. Criteo came closest to carrying real risk on the web, buying impressions and selling clicks, and its loop depended on identifiers controlled by browsers. The open web is not dead. It still lacks a credible counterparty behind the miss.

Advertisers already own the cheapest hedge in media: the pause button. So the open web's first real performance insurance will protect the sell side, not the buy side — the publisher's receivable, the intermediary's spread, the counter's restatement — assembled from narrower protections around payment, counting and residual performance risk rather than one policy. The near-term contract names its counting source, escrows the money and bonds the count. The parametric policy on the landlord event itself comes last, once the loss history exists.

Season 2's second poll asked what becomes the new shelf space once agents decide what gets considered, and 16 ballots produced a tie: Retrieval results and Paid recommendations at 31% each, Training data and Default integrations at 18%. Sixteen votes was the smallest turnout of the run to that point and settles nothing, but the grouping is worth a paragraph — the room picked the two routes into a consideration set that an operator can change inside a planning cycle without anyone else's approval. The Restock Test sorts all four by how long a change takes to land and whose approval it needs. My vote went to paid recommendations, for one reason: it's the only one of the four with a price, and a price drags an owner, an auction, and a contract along behind it.

Two agentic advertising standards shipped within 48 hours of each other in late July — AdCP tagged v3.1.8, IAB Tech Lab announced AAMP 2.3. The trade press calls it a war and mislabels the battlefield. Read at the repository level, the real difference isn't altitude (both negotiate deals; both touch the impression path). It's ancestry: AAMP retrofits agents onto advertising's existing rails — OpenDirect, OpenRTB, the ad servers and DSPs already in production — while AdCP writes a new campaign-lifecycle protocol with trust in the wire format. Every claim verified against the repos and specs, both directions, with the press-release-vs-repository deltas printed for each side.

Amazon opened AMC to all sponsored-ads advertisers in Sept 2025. What's free, what still costs, what the 100-user threshold hides, and what expires Dec 2026.

Friday's poll asked what agents will optimize for, and 54% of 51 ballots said Business Outcomes — more than Lowest Cost and Highest ROAS combined. This essay's answer to why: Business Outcomes was never a fourth number competing with the other three. Lowest Cost, Highest ROAS, and User Satisfaction are each a single scalar an optimizer can directly maximize — and a single scalar is exactly what gets gamed. Business Outcomes can't be scalarized the same way, which is the point: the room didn't vote for a better objective function. It voted against handing the agent one at all.

People search 'CDP vs. reverse ETL' like it's a product bake-off. It's a category error — one is a suite, the other is a pipe. The real question is where the customer truth should live, and once you answer that, the comparison resolves itself. A decision table, three scenarios, and the trap on each side.

A complete build recipe: GA4, Search Console, Claude, and GitHub wired into an editorial agent that reads a month of data, writes five ranked recommendations, grades its own previous advice, and pings you — on two cadences, for pennies. Five APIs, zero dashboards, one afternoon.

A complete build recipe for putting a grounded answer engine on top of your own writing: chunk the corpus, embed it, retrieve with a multi-lane hybrid, generate with hard grounding rules, track when your own positions change so the system never quotes a retracted stance as current, and expose it two ways — as an MCP connector any chat client can use, and as a chat box on your own site. Every part runs on one Cloudflare Worker for near-nothing. The honest version: the architecture, the guardrails that keep it from lying, the four bugs that actually cost me an afternoon, and the loop that makes it smarter every time you publish.

The same campaign, 54 defensible iROAS values, 83% flipping sign on methodology alone. Eight audit questions — and the failure mode each one catches.

The agent doesn't click, doesn't see ads, and buys anyway. A breaks/survives/emerges triage of commerce measurement, and the instrumentation to build now.

The W3C Attribution API debate, read as a constitutional question. Mozilla's Martin Thomson says the quiet part precisely: the test of any privacy technology is not the information flows — it is who decides. The browser is bidding to become the counterparty that grants measurement its standing, and every operator concern in the spec follows from that one move.

The signal architecture that makes one conversion land once across Google, Meta, and OpenAI ads — why the three platforms are complementary, why you can't dedupe walled gardens but can out-hub them, and the incrementality question underneath all of it.

A category got named on Monday, shipped on Tuesday, and acquired on Wednesday. But the fourth-generation CDP is the entry point, not the story: the CMO's job is moving from campaign execution to constraint design.

Before any CMO deployed an agent, a billion customers did. The click did not die of natural causes — the answer layer intercepted intent, then started selling media against it. And a whole measurement industry formed before anyone validated the metric.

A natural-language brief in Claude became live CTV spend through a protocol handshake. Ten surfaces are becoming agentic counterparties — but autonomy and interoperability are inversely correlated, so far, and the consolidation ledger shows exactly what agents are hungry for.

Measurement stops explaining the past and starts issuing permissions. The post-agentic CMO's deliverable is not a channel plan — it is guardrail architecture. Here is the ownership split, the operating loop that already works, and the ten-question procurement test.

Adtech versus martech was never a strategy — it was a custody arrangement: two industries built on two copies of one customer, one reaching through rented access, the other through owned relationships. The agentic CDP did not end the split; it exposed how little of it was strategic. One governed customer memory — read, written, and learned against by agents on both sides — is absorbing the operating boundary between paid and owned. Sequel to 'The Composable CDP: How Customer Data Stopped Moving.'

An AdExchanger column just named the shift the whole industry is feeling: from an audience economy to a context economy. It is right, and it is the direction a season of this site's writing has been pointing. But 'understand the moment and act on it instantly' is one governance layer away from being a faster surveillance economy — and that layer is the whole ballgame.

Curation went from an SSP side product to the organizing fight of programmatic in under two years: every exchange has a named platform, the data specialists got absorbed by credit bureaus and holdcos, retail media and CTV fused into curated marketplaces, and now the agencies are building marketplaces of their own — Stagwell's, announced this week, assembles bespoke supply with AI agents fed by The Trade Desk's own quality data. This is the audience economy reorganizing itself on the supply side. The question is not whether the packaging adds value. It is who signs the package — and what happens to a shelf of pre-cut deals when buyers gain an agent that can assemble supply per brief.

At Cannes, OpenAI declared the shift from the attention economy to the intelligence economy — and put a rate card on the answer. Six months of verified record tell a stranger story: the product is a familiar sponsored card, the price fell as the pitch rose, the minimums collapsed from $200K to zero, and every trust metric is self-reported with no referee. Meanwhile the ecosystem split seven ways on the same question: OpenAI all-in, Microsoft selling quietly, Google hedges by surface, Meta monetizes around the assistant, Grok announces, Perplexity exited over trust, and Anthropic bought Super Bowl airtime to refuse. These aren't seven marketing strategies. They're seven objective functions — and the forecast gap between OpenAI's $2.5 billion and the category's sub-$1 billion is where the argument gets settled.

Snowflake just shipped a governed agentic loop between the warehouse and Meta — conversion signals out, campaign context back, an agent that prepares and a human who approves. It is the closest thing yet to this site's thesis running in production. It is also the exact pattern this site warned about: the loop closed, but it closed inside one walled garden, on one vendor's proprietary surfaces.

AdCP's sell side is a deal machine beside the wrapper, not inside it — the architecture, the deal loop, five publisher decisions, the caveats nobody prints.

Season 1's last poll asks which standard matters most in five years: Identity, Measurement, Agent Protocols, or Trust & Accountability. This essay's answer: three of the four only reduce friction — a market can run without them, just more slowly and at more risk. Only one clears or blocks the transaction outright. That's the test that actually separates a standard from infrastructure, and it's independent of which option the room eventually picks.

Friday's poll asked what becomes scarce in a market run by agents. The obvious answer is the last decade's winner — the biggest data. Wrong layer. Every cycle relocates scarcity rather than abolishing it, and an agentic market makes data, compute, and distribution all self-suppliable — leaving one asset a machine is structurally incapable of minting for itself: trust.

Friday's poll asked which marketing metric breaks first once agents become the primary buyers. This essay's answer is Attention, and for a mechanical reason: it was never a measurement of the market — it was an inference about something no one could directly observe. Reach & Frequency and Attribution make the same category error one layer removed. ROAS survives by accident, not merit. And the record that replaces all three isn't a better guess — it's the first time anyone could just read the answer instead of inferring it.

Friday's poll asked who should be accountable for an agent's decision, and the room put half its ballots on The Agent Owner, with Shared Responsibility a distant second. This essay takes that answer seriously and then sharpens it: shared responsibility is what accountability looks like before a contract assigns it. In practice, accountability follows the action space — the vendor owes enforceable rails and honest measurement, the user owes informed approval, but ownership concentrates on whoever authors the constraints the agent acts inside. Which is why my vote went to The Agent Owner, and why the fix is infrastructure, not sentiment: versioned operating rules plus an append-only decision ledger turn 'shared' from a shrug into an audit trail.

DMEXCO column. As agents make decisions in real time, measurement must shift from delayed reports to live, machine-readable feedback — a pricing signal, not a post-campaign scorecard.

The often-overlooked intersection of AI, data governance, privacy, and regulations (GDPR · CCPA). Why vector databases don't fix the compliance problem — they just relocate it.

The crowd voted 'more than ever' — but the real question isn't whether AI kills standards. It's which standards survive when meaning goes to zero and accountability becomes the scarce thing.

What running a live AdCP signals agent teaches you that reading the spec never will. Revised September 2026: a privacy gap I filed against Trusted Match shipped in AdCP v3.1.22 — on stricter terms than I proposed, in a maintainer PR rather than mine — and two threads listed here as open proposals have since closed as completed.

Friday's poll asked when an AI recommendation becomes an AI decision. Most said 'when humans stop reviewing.' Right answer, wrong tense — in agentic ad tech that line is already behind us, and the surviving signature isn't a decision-maker, it's a name for the post-mortem.

A framework for packaging buyer intent, semantic meaning, provenance, privacy policy, activation rules, and measurement logic into executable advertising signal containers.

A framework for the warehouse-native generation of customer data: what 'no data egress' actually buys, why reverse ETL became the last mile, how multi-cloud clean rooms split the work, and where the lock-in really went.

Friday's poll asked what the first truly AI-native fraud is. The crowd answered with familiar villains. The trap was the question: the new scarcity isn't authenticity, it's accountability.

AdTech platforms now own more capability than ever. The winners will be the ones that turn capability into one buyable story through commercial architecture.

AdExchanger Data-Driven Thinking. How agent-mediated measurement collapses the gap between exposure and outcome.

Interview with Brett House and Rio Longacre on CTV, his career from publishers to platforms, and the future of television.

Apple Podcasts · Spotify

What linear TV still needs from AdCP 3.0 — measurement standards, identity bridges, and a cross-screen ledger.

AdExchanger Data-Driven Thinking. Why "audience yes/no" must yield to graded similarity scores in vector space.

DMEXCO column. The semantic shift from named segments to learned embeddings — and what it means for buyers.

Ad tech's standards run in silos, and the Agentic Era makes that gap impossible to ignore — a map of how OpenRTB, AdCOM, OpenDirect, Deals API and GPP each extend into the agentic stack. Revised September 2026: the layer this map named UCP had already been donated to IAB Tech Lab and renamed Agentic Audiences before publication, the roadmap belongs to one body of two now in open conflict, and the serve-time matching job the map reserved for a separate layer now runs inside AdCP's Trusted Match.

A reproducible Rube + Claude + Slack recipe. From inbox to scored lead in under 30 seconds.

Video clip from Marketecture Media's Hot Takes, recorded at IAB ALM 2026, on agentic advertising, MCP and the AdCP and UCP standards.

Vector alignment as practical infrastructure — projectors, capability discovery, and the handshake between buyer and seller agents.

Field notes from IAB ALM 2026 — AI has stopped being a checkbox and become the substrate of media operations.

Start building it. A bi-monthly tutorial series on shipping real GTM agents in Rube, Claude, n8n.

How UCP and AdCP retire ad-tech's "Tower of Babel" — Architect (intent) and Engineer (math) of the agentic stack.

CES 2026 read — generative interfaces, on-device intelligence, and the platform-level inevitability of AI.

Post on AdCP governance that also flags the AdCP community meetup in New York on 18 December 2025 at Horizon Media.

DMEXCO column. Why structured employee advocacy outperforms paid social on reach, trust, and acquisition cost.

From post-mortem PowerPoints to continuous learning systems. The 90-day learning lag is killing performance — and attribution theater has us making million-dollar calls on correlation dressed up as causation. Here's what changes when learning happens in milliseconds, not months.

From rule-based bidding to intelligent real-time decisions. Why a luxury brand's AI refused to bid against layoff articles — and what changes when programmatic systems start to reason in 100 milliseconds instead of executing rules.

How AI is transforming static strategies into living intelligence. A real CPG case found $3M in incremental revenue from a behavioral pattern no human would ever connect — and the campaign-planning era that made it possible is over.

Part 1 of 4. The quiet revolution from tools that execute to systems that think — and the human role that survives it.

Connect once. Operate anywhere.

Part 1 of 4. The quiet revolution from tools that execute to systems that think — and the human role that survives it.

DMEXCO column. The protocol genealogy — from OpenRTB to AdCP — and why the AI-native standard ships now.

Ghosting persists. A call for industry-wide integrity — replying matters, even when no one's watching.

Dense numerical representations as the post-ID connective tissue — lookalikes, contextual targeting, cross-media without identifiers.

DMEXCO column. An outcomes-first model for AI-led marketing — precision, personalization, and predictive impact.

A 21-dimension psychographic model — cognition, rationality, attachment, personality, temperament — for >85% engagement prediction.

Freytag's Pyramid, Plutchik's Wheel, and Jung's archetypes in one privacy-safe framework for emotionally-intelligent placement.

Narrative structure × emotional resonance × autonomous agents. How story-aware ads replace impression-level metrics.

DMEXCO column. John Vervaeke's relevance realization applied to media buying and creative strategy.

DMEXCO column. Why context profiles — not user IDs — become the most valuable brand asset of the AI era.

Google's NNN brings Transformer self-attention to Marketing Mix Modeling — moving past Meridian's parametric assumptions to learn temporal dependencies, cross-channel synergies, and creative nuance directly from aggregated data. ~22% lift in predictive accuracy on early benchmarks.

A walk-through of anonymized PII + psychographic profiling + LLM-driven creative for a single high-value persona.

From keyword matching to fluent reasoning. Five categories, twelve evaluation questions, one machine-readable JSON schema.

Introducing the EARO framework — Exposure, Attention, Relevance, Outcome — with 22 metrics across four dimensions.

Model Context Protocol meets Agent-to-Agent. How AIs talk to tools and each other to ship DCO at machine speed.

What John Vervaeke's cognitive-science framework reveals about marketing — and why the next competitive edge isn't reach or recall, but relevance realization. Introduces the EARO framework: Exposure, Attention, Relevance, Outcome.

DMEXCO column. The business case for low-carbon ad operations — and the metrics that prove it.

How agentic systems unify brand safety, audience fit, and performance under one decisioning brain.

DMEXCO column. Concrete decarbonization tactics across creative, supply path, and reporting.

DMEXCO column. A framework for thinking about AGI ethics in commercial deployment.

Contributed tip #2, on password resets and access issues, to a Forbes Technology Council expert panel on common problems tech teams face.

Forbes Tech Council piece on the technology levers — sustainable supply path, attention metrics, low-carbon creative.

Contributed tip #17, a detailed discovery session, to a Forbes Technology Council expert panel on client onboarding.

Forbes Tech Council piece. A practical brand checklist for credible sustainability claims under tightening regulation.

Post announcing he joined DMEXCO's columnist team, resharing DMEXCO's welcome; his debut column was The Future of Privacy and Addressability.

DMEXCO column. Privacy-first addressability — how clean rooms, ATS, and contextual fill the post-cookie gap.

Contributed one of 19 entries, on formulaic content, to a Forbes Technology Council expert panel on AI's challenges in entertainment.

Contributed tip #19, diversifying tech stacks across cloud providers and open-source tools, to a Forbes Technology Council expert panel on managing tech platforms.

Forbes Tech Council piece on why sustainability has graduated from CSR to category-defining brand strategy.

Contributed tip #6, writing an op-ed, to a Forbes Technology Council expert panel on how tech leaders can help shape industry policy.

Mediaspace.global press release on Adweek Wire announcing the 2024 Changemakers’ Awards winners, issued while Evgeny was Global Advisor. A wire release, not Adweek editorial.

Mediaspace.global press release on Adweek Wire opening invitations to the 2024 Changemakers’ Summit, issued while Evgeny was Global Advisor. A wire release, not Adweek editorial.

Contributed tip #2, sharing stories about your team, to a Forbes Technology Council expert panel on social media for tech brands.

Medium recap of Advertising Week NYC — the trends that mattered and the conversations worth replaying.

A 7-step audit for European and Asian AdTech vendors entering North America. The PMF and GTM playbook.

Medium analysis of Publicis' strategic pivot from holding-company to AI-native intelligent system.

M3X feature on AGI alignment — the choice between machines that augment human wisdom and those that don't.

M3X feature. Three years after the funnel was declared dead, what actually survives — and what replaces it.

Forbes Tech Council piece. Where blockchain is genuinely useful in ad-tech — supply-path integrity and creative provenance.

Medium feature on Web3 mechanics in advertising — provenance, micropayments, decentralized identity.

Medium primer. The mathematical underpinnings of RBA and the modern Bayesian Meridian MMM stack.

Medium feature. Connected TV measurement options — incrementality, attention, deterministic identity stitching.

A call for artificial rationality, wisdom, and embodiment — not just artificial intelligence — as AGI approaches.

Contributed strategy #6, AI-driven personalization, to Aleks Farseev's Forbes Technology Council roundup of AI marketing strategies.

Contributed entry #2, agriculture, to a Forbes Technology Council expert panel on fields generative AI is changing.

Medium piece on the attention metric — why it's real, how to measure it, and where it changes media plans.

Eight-second Mediaspace.global clip of Evgeny, its Global Advisor and CRO, filmed in Cannes in June 2024 to promote its Leadership Club.

Mediaspace.global announces Evgeny as Global Advisor and CRO, effective 18 June 2024.

Forbes Tech Council piece. The audit checklist for AI bias in audience modeling and creative generation.

Contributed point #10, secure communication between systems, to a Forbes Technology Council expert panel on network segmentation.

Medium feature on the Coalition for Content Provenance and Authenticity standard — and what brands should do now.

Medium piece on the gap between LLM confidence and truth — implications for marketing claims and brand safety.

Medium feature on diffusion models in creative production — when they help, when they don't.

Medium technical piece on LangChain for AI orchestration — patterns, pitfalls, and production deployment.

Medium technical piece on how LoRA and PEFT make LLM customization affordable for vertical applications.

Forbes Tech Council piece. Retrieval-Augmented Generation explained for marketing leaders — practical applications.

Contributed entry #11, proactive patient care, to a Forbes Technology Council expert panel on AI in healthcare.

Contributed entry #5, digital transformation, to a Forbes Technology Council expert panel on C-suite discussions that benefit from tech leaders.

Medium primer on transformer architecture — attention mechanisms, scaling laws, and downstream business implications.

Medium reading list. Part II — applied works on leadership, decision-making, and the long arc of careers.

Medium reading list. Part I of a curated set — foundational texts on systems, strategy, and human nature.

Medium feature on the next generation of CTV experiences — context-aware, agent-mediated, and pleasantly personalized.

Medium piece on what comes after Moore's Law — specialized accelerators, system-on-chip, and the new compute economics.

Forbes Technology Council post, as Verve Group's EVP and GM International, on how AI can change CTV advertising.

Medium primer on Retrieval-Augmented Generation in plain language — the architecture and why marketers should care.

Contributed entry #7, finding the right talent, to a Forbes Technology Council expert panel on challenges tech startups face.

Medium piece on emotion-aware personalization — using AI to move from segment-level to moment-level relevance.

Forbes Tech Council piece on the structural changes AI introduces — workflow, headcount, capability.

Medium piece on the math of brand trust — how the trust premium compounds into LTV and acquisition cost.

Medium piece on multi-cloud data collaboration patterns that solve PII and regulatory constraints.

Medium piece on what Gen Z and Alpha actually pay attention to — and how brands earn it.

Medium piece on display's future — why it survives, where it loses share, and what wins instead.

Medium piece on voice and visual search adoption — the SEO and content implications brands need to plan for.

Forbes Tech Council piece reviewing 2023 predictions that materialized — and the leading-indicator signals to watch.

Medium piece on operational resilience in ad-tech — the architecture patterns that survive identity, regulatory, and macro shocks.

Medium 2024 outlook. The AI × privacy collision and the strategic moves for the year ahead.

Medium piece on how instant-answer AI changes search marketing — the strategy shifts that follow.

Medium piece on professional ghosting — why it persists and the simple practices that fix it.

German-language guest article, as Verve Group's EVP and GM International, on whether contextual solutions can keep advertising personalised.

Summary in marketing-boerse

Podcast guest, as Verve Group's EVP and GM International, on AI as an addition to human talent rather than a replacement.

Written recap (Sphere)

AR/VR, Web3, regulation, and generational power shifts. The five-year outlook for the ad industry.

When AI delivers answers directly instead of links, SEO becomes about AI comprehension — not keyword density. Eight strategic shifts marketers must make as the SERP gives way to the response.

Why recruiter silence and unacknowledged pitches erode the ethics of business — and how to push back.

Year-end review of 2023 in ad-tech — the predictions, the outcomes, and the lessons for 2024 planning.

The Drum's 2024 privacy outlook quotes Evgeny, as Verve Group's EVP and international GM, among its predictions.

Forbes Tech Council piece reviewing the 2023 ad-tech forecast — which predictions hit, which missed, and why.

A 2024 outlook across AI, privacy, addressability, retail media, and creator economy.

Why on-device, privacy-preserving ML may finally find its mainstream year — and the five mobile use cases that prove it.

A practical read on Chrome's cookie deprecation — strategic posture for buyers and sellers in transition.

Contributed a two-paragraph prediction on multi-channel contextual solutions, as Verve Group's EVP and GM International, to ExchangeWire's multi-expert contextual advertising predictions for 2024.

Why contextual is back — and how AI-optimized contextual finally beats behavioral on attention and outcomes.

The strategic read on App Tracking Transparency — Apple's privacy posture as competitive intelligence.

Ten transformative trends — shoppable TV, retail media × streaming, data-driven decisioning — for 2024 planning.

A curated reading list — Peterson, Tobaccowala, and 100 books for the long-game thinker.

Forbes Tech Council piece on context-aware activation during tentpole sports moments — the playbook for live events.

The post-cookie playbook — zero-party data plus clean rooms as the durable identity stack.

One of 25 industry experts in PMW's roundup on the IPA Bellwether report, per Verve Group's press page; the article itself is behind PMW's sign-in.

Verve Group press note

PMW piece on the PII paradox — why more first-party data isn't always strategic advantage under tightening regulation.

Advertising Week piece on the contextual renaissance — NLP, vision models, and the post-cookie targeting stack.

Verve Group release on Moments.AI in the Match2One platform quotes Evgeny as EVP and GM International.

Verve Group and Turkcell demand partnership release quotes Evgeny on Verve's privacy-centric approach to programmatic advertising and cookieless targeting.

Expert roundup on the IPA Bellwether Q2 2023 outlook quotes Evgeny, as Verve Group's EVP and GM International, on pulling budgets back too far.

Forbes Technology Council post, as Verve Group's EVP and GM International, on why ad tech today and tomorrow needs durability.

Panelist at The Art of Data, a Verve Group and Getty Images event in Cannes during Cannes Lions 2023 that paired a fireside chat on editorial photography with a panel on engaging audiences through emotion.

Event photo (Getty Images)

Digiday's guide to Cannes 2023 quotes Evgeny as Verve Group's general manager for international.

Article on zero-party data quotes Evgeny, as Verve Group's EVP and GM International, on contextual targeting.

ANA piece on the asymmetry between human and machine connection — and what it implies for brand strategy.

Quoted, as Verve Group's EVP and GM International, on privacy-centric targeting after cookies, among 17 industry reactions to the Q1 2023 IPA Bellwether report.

Purpose, People, Platform, Process, Performance — Paul Roetzer's five-P framework applied to programmatic.

Five high-impact AI applications — personalization, targeting, prediction, conversational UX, content creation.

Secure multi-party data environments — the substrate for targeting, attribution, and personalization without raw PII.

Decentralization, authenticity, transparency, and privacy — how Web3 primitives reshape brand-consumer trust.

How proactively-shared customer data fuels personalization, product roadmap, and durable trust.

Verve Group announces Evgeny's appointment as EVP and GM, International Sales.

Adweek Wire · SalesTechStar · VideoWeek roundup · AdExchanger roundup

How to evaluate the next role — Vision, Mission, Purpose, Culture, Team, Leadership, Challenges, Opportunities.

When hundreds of LinkedIn job titles carry the word, it is time to define it. Addressability is the capacity for an entity to be targeted and found: the $100B+ of post-cookie open-web spend that depends on it, the three-letter acronyms that run it, and the four addressability paths and which ones survive 2023.

The four pillars of the marketing loop — Targeting, Delivery, Measurement, Optimization — rebuilt for the post-cookie era.

How to bring your authentic self into a corporate environment after a personal transformation.

A career pause in the Mexican jungle. What time, routine, and reading do to the mind.

Byline, as Lotame's EVP of global data solutions, on how CPG brands can navigate a cookieless world with help from data partners.

PubMatic's Audience Encore launch release quotes Evgeny as Lotame's EVP of global data solutions.

ExchangeWire

Lockdown as opportunity. How to use reclaimed time for fitness, reading, and being present.

Report on second-party data growth quotes Evgeny, as Lotame's head of global data solutions, on the impact of privacy regulation.

Lotame release on 1,200% year-on-year growth in second-party data adoption quotes Evgeny as head of global data solutions.

Aithority

Written interview with Evgeny as Lotame's global VP of data solutions and international.

MarTechSeries feature quoting it

Laurie Sullivan's profile and Q&A on what mathematics taught Lotame's newly appointed head of global data solutions.

Lotame and AnalyticsIQ partnership release quotes Evgeny as Lotame's global VP of data solutions.

Movers & Shakers item on Evgeny's promotion to a global data role at Lotame in New York.

AdNews, 24 May 2019 · The Marketing Blog · Archived copy

Byline, as Lotame's APAC vice president, on three questions marketers should ask about data quality.

Named contribution, as Lotame's VP data solutions APAC, to AdNews's 2019 ad tech predictions, forecasting data accuracy guarantees becoming a new currency for targeting.

Archived copy

Marketers should demand upfront transparency and measurement guarantees on audience-targeting accuracy — not accept opaque data sourcing.

Taboola's release on bringing its data marketplace to Japan quotes Evgeny on Lotame's participation.

Opinion piece, as Lotame's VP of data solutions, on how to define data quality and keep data accurate.

Archived copy

Pippa Chambers' Q&A with Evgeny, as Lotame's VP data solutions APAC, on where the market stands on its DMP journey.

Archived copy

Report on Lotame's APAC promotions, including Evgeny's to regional VP of data solutions; he is quoted on growing Lotame's presence in APAC.

Named contribution, as Lotame's senior director of data solutions APAC, to AdNews's 2018 ad tech predictions: verified, bot-free, on-target data becoming an industry benchmark.

Archived copy

Report from the APAC AdTech Meetup, which Evgeny co-organised with AdNews digital editor Pippa Chambers.

Archived copy

Opinion column, as Lotame's senior director of data, on whether marketers are collecting more data than they can use.

Cited by SmartDataCollective · Archived copy

Speaker on the Rethinking TV session at Advertising Week Asia 2017, as Lotame's senior director of data solutions.

Five practical tips — DMPs, third-party data, segmentation, look-alikes, data-driven action — for profitable consumer relationships.

Decoding two over-used terms — and why the DMP is the central nervous system of an interoperable mar-tech stack.

How DMPs power PMP packages, custom audiences, private data marketplaces, and the four scenarios that matter.

Report from the Sydney Ad Tech Meetup on attribution, which Evgeny co-organised with SpotX's Christopher Blok; he is quoted.

Archived copy

Why the DMP is the foundation for multi-touch attribution and the connective tissue across marketing channels.

Deterministic vs probabilistic matching. The eight questions to ask every cross-device vendor before signing.

Pippa Chambers' industry profile of Evgeny as Lotame's director of platform solutions APAC.

Archived copy

Evgeny leaves RadiumOne for an APAC role at Lotame; he is quoted.

MediaPost · Archived copy

Report from the ad fraud panel at the Ad Tech meet-up Evgeny co-organised with SpotXchange's Christopher Blok; he framed the discussion and is quoted.

Archived copy

Report on News Corp's programmatic plans notes the company was still replacing Evgeny after he left for RadiumOne.

Archived copy

Report notes Evgeny's January move from News Corp's publisher trading desk to RadiumOne as APAC operations director.

Archived copy

Report on the RadiumOne Australia launch names Evgeny as part of the team.

AdNews, 7 Apr 2014 · Archived copy

Report on programmatic hiring names Evgeny's move from News Corp's publisher trading desk to RadiumOne.

Archived copy