Writes about media, tech, and AI business for people who actually run digital. Former agency lead. Skeptic of frameworks that read better than they perform.
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.
Published 2026 benchmarks put LinkedIn cost per click (CPC) anywhere from $5.58 to $10.11, and as high as $15.72 in peak quarters, with cost per lead (CPL) from $15 to $350. The spread isn't noise. It's the whole game. Plan to the range that matches your audience, not the headline that matches nobody's.
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.
Retrieval-augmented generation is how you stop a large language model (LLM) from inventing your product facts. In 2026 the work is a governed pipeline, not a prompt, and the payoff is brand-safe content and support you can actually audit.
US TikTok Shop is forecast at $23.4 billion in 2026, bigger than Target's or Costco's e-commerce. But the top 1% of sellers drive about 60% of that, and half the headline stats are forecasts and second-hand claims. Read it with both eyes open.
The standalone 'prompt engineer' role is fading, but the competency is now baked into marketing operations. What survived is not clever wording. It is structured prompting, real context, and prompts you actually test.
Google Ads scripts still earn their keep in 2026 doing deterministic, boring work: budget alerts, zero-conversion flagging, out-of-stock pausing. AI can now draft them from a sentence. The judgment about the rules is still yours, and that's the whole point.
Third-party cookies stopped carrying your retargeting a while ago. The value moved to first-party audiences, server-side signals, and the automation layers inside Meta and Google. Here's what to keep funding and what to quietly cut.
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.
The average e-commerce conversion rate is somewhere between 1.4% and 2.96%, which tells you almost nothing. AI personalization is a real lever, but the honest number is a 10-30% relative lift, not the miracle in the case study. Here's where it actually shows up.
