Every Mediovsky piece tagged Strategy.
Claude’s newest models weave an invisible mark into their text, with no documented opt-out. In Anthropic’s explanation the mark measures one thing, how many words the model chose: faint on a proofread draft, loud on prose it wrote end to end.
Thirty conversions a month. Fifty events a week. Every consolidation argument in the industry rests on those numbers, and neither platform states them as structural requirements. Google says something quieter and more useful, and once you read what it actually says, the real cost of splitting a campaign turns out to be arithmetic you can do yourself.
The number on your dashboard divides all the revenue by all the spend, which describes money you already committed. The decision in front of you is about the next increment, and that return is always lower than the average and falling. Here is how to find where your curve bends, and what to do at the point the two numbers disagree.
From August 2, three separate regimes (the EU AI Act, New York’s synthetic-performer law, and Amazon’s marketplace policy) start forcing you to disclose AI-generated creative. The panic that the label tanks conversion is repeated everywhere and proven nowhere. Here is what each rule actually covers, and how to decide where a human face still earns its cost.
AI, Digital, Automation, Measurement. Every business already runs on all four, and is fragile in the exact one nobody is watching. ADAM is a diagnostic that plots you on a 4×5 matrix, names your weakest pillar, and forces one decision per quarter. Here is the whole framework, and the free playbook.
Last-click and even a mix model can flatter the spend that only harvested demand it never created. Incrementality testing is the causal tie-breaker: geo experiments and holdout lift tests that show which dollar actually caused a sale.
US retail media hits roughly $71 billion in 2026, but Amazon and Walmart take nine of every ten new dollars. The channel is huge, growing fast, and more concentrated than any other in digital.
Packaged customer data platforms and warehouse-native, composable stacks now do most of the same jobs. The real fork is not buy vs build. It is where you put identity and consent, and how fast you need to act on them.
In 2026 the marketing teams pulling ahead with AI are not the ones with the most tools. They are the ones that redesigned how the work is done, who decides, and how the payback gets proven.
In 2026 the billboard reports back. Programmatic buys the majority of digital out-of-home, measurement moved from impressions to incrementality, and outdoor screens now compete for performance budgets, not just awareness lines.
Streaming is now nearly half of US TV viewing, but connected TV still draws only about 8% of ad spend. The gap is the last piece of underpriced reach in video, if you can survive the measurement and frequency chaos to claim it.
Gmail and Yahoo turned deliverability into the price of entry, and behavior-led flows now compound where broadcast sends stall. What actually moves email revenue in 2026, and what to distrust in the return-on-investment decks.
Pay 10% on every affiliate sale and a chunk of those buyers were coming anyway. The 2026 shift is away from coupon volume toward deeper partnerships, but the number that decides whether the program pays is the one nobody prints on the invoice.
Independent audits keep finding the same thing: only about half of a programmatic display dollar reaches the site that ran the ad. The rest is the ad tech tax, and in 2026 the way to claw it back is structural, not another blocklist.
The 2026 workflow-automation choice is not really n8n versus Make. It is knowing which marketing tasks belong to a no-code canvas, which need real code, and which should stay in a human’s hands.
Privacy killed the click-level view, and marketing mix modeling (MMM) returned to fill the hole. But the brands getting it right don’t run MMM instead of attribution. They run three layers, each doing the one job it’s actually good at.
The most cited number in marketing came from analyzing 996 campaigns and taking the mean. It was never a law, and applying it to a three-year-old brand burning runway is how good research becomes bad strategy. The rule is real. The dogma is the problem.
