I am a mathematician trained to catch instruments that lie. Now I examine advertising accounts the way a doctor examines a patient who feels fine. They call me Doctor Ads. What I find, I sign.
Not because anyone is lying to you. Each layer between you and the raw data simply rounds in its own favor: the platform grades its own spending, the agency summarizes its own work, the deck simplifies for the board. By the time a number reaches you, it has been polished three times. And part of every ad budget quietly buys nothing. Someone with no stake in the answer has to check which part.
Across 116,000 ads I examined, Google's own "Poor" label out-clicked "Excellent" three to one. The labels point backwards. See the finding →
Profit Forensics: I take one ad account apart and show which dollars buy customers and which buy nothing. Signed.
Examine my account →The Lab: findings from 9.5 million anonymized search queries, published as I go.
Read the research →A few seats for boards and founders: marketing, go-to-market and pricing decisions, checked against the numbers.
Discuss advisory →I share what the data shows: conference keynotes and private sessions for teams and boards.
Discuss a talk →The Ad Profit Lab: real patterns from real ad accounts, and what to do about them. No schedule, no noise. When the data shows something worth your time, I write.
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