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.
Tymbre went from a clickable mockup to the App Store in 30 days, built by one person after hours, with AI. Here is the full product: 1,116 launch-period commits, a self-hosted core architecture in Warsaw, adversarial QA, and the lesson that the bottleneck was never the typing.
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.
Claude Code already pulls last week’s numbers, drafts the negatives, and stages a budget change across Google Ads and Meta, wired in through the Model Context Protocol (MCP) and the platforms’ own APIs. Here is how the plumbing works, why Google’s own connector refuses to spend a cent, and where the guardrails still have to come from you.
Model Context Protocol (MCP) turns a large language model (LLM) from smart autocomplete into an agent that can touch your CRM (customer relationship management), analytics, and ad platforms through a single standard. How the handshake works, who adopted it, and the security perimeter it opens.
Seventeen percent of chief marketing officers (CMOs) have cut marketing jobs because of AI. Thirty-six percent expect to within two years. The gap between those numbers is where the restructuring is actually happening.
When a single AI agent hits its ceiling, the work moves to a fleet with an orchestrator on top. The 2026 problem is no longer model quality. It is coordination, guardrails, and reliability.
AI Overviews sit on nearly half of Google queries by most 2026 counts, and have cut clicks to the top organic result by 58%. The traffic that survives is disproportionately the traffic that was going to convert.
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.
Search themes, campaign-level negatives, brand exclusions, and channel reporting quietly turned Google’s most opaque campaign type into a controllable broad-match machine. The controls exist. Most accounts still don’t use them.
Google Analytics 4 (GA4) got good at engagement, e-commerce, and prediction, and stayed bad at pretending to be a database. In 2026 the working setup reads the interface as a privacy-filtered view and moves the source of truth to BigQuery.
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.
Meta made Advantage+ the default and lowered the bar to use it. The performance lift is real. But the number it reports is blended, and the control you give up is not. Here’s how to run it without fooling yourself.
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.
Amazon called its 2026 fee change slight, and for one unit it is. The real cost of selling on Amazon and Walmart sits underneath it: a stack of fulfillment, storage, and ad charges that turns a 6-15% referral into something operators put near 30-40% of gross merchandise value (GMV), and each platform hurts in a different place.
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.
Generative engine optimization isn’t SEO with a new coat of paint. It’s writing for extraction (answer-first, evidence-dense, cleanly structured) so ChatGPT, AI Overviews, and Perplexity pick you as the source. This piece is built the way it tells you to build.
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.
Client-side tracking now loses 20-40% of events, more in Safari-heavy markets. Server-side tagging recovers a real chunk of it, but it’s infrastructure with a bill and a consent trap, not a plugin you switch on.
Google Analytics stops reading its own ad settings and hands the entire decision to Consent Mode. If your consent management platform (CMP) wires the wrong signal, EU conversions and remarketing quietly fall off, and Analytics will still look fine.
AI agents already run bidding, budget shifts, and creative rotation end to end. But 2026 is the year of assisted autonomy: humans on the guardrails, not off the loop. The gap between those two things is where accounts get wrecked or saved.
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.
