Deep dives on programmatic, measurement, creative automation and growth — written from inside the industry, updated weekly by survey.
Multi-touch attribution and marketing mix modeling answer different questions. Here's how operators choose, combine, and validate each in 2026's privacy-broken landscape.
How to detect, diagnose, and fix creative fatigue across paid social and programmatic using AI signals, decay curves, and a rotation system that scales.
How to build a scalable multi-RMN media strategy in 2026—covering network selection, offsite activation, incrementality measurement, and walled-garden traps to avoid.
Attention metrics measure whether ads are actually noticed, not just rendered. A practical operator guide to AU, APM, vendors, and how to activate in-flight.
A practical operator's guide to dynamic creative optimization in 2026—covering DCO mechanics, AI fatigue detection, tooling trade-offs, and performance benchmarks.
Learn how incrementality testing works in 2026—holdouts, geo-lift, ghost bids—and how to integrate it with MMM and attribution to prove real ad ROI.
A media buyer's honest breakdown of where AI genuinely improves paid media performance — bidding, allocation, creative testing, and the new agentic layer — and where “AI-powered” is still just a label.
A practical GEO/AEO playbook — what actually earns AI citations in 2026, what the llms.txt evidence really says, and how to measure whether any of it is working.
A practical detection guide for mobile user-acquisition fraud — the signals that expose emulator farms, click spam and synthetic installs, and why spoofing broke the old playbook.
A short weekly brief on AI marketing tools, programmatic shifts, and measurement — written for operators, not tourists. No spam, unsubscribe anytime.