Growth & Performance Marketing Leader · 15+ years · enterprise retail, DTC, B2B & agency
I lead growth and performance marketing end to end: cross-channel paid media, lifecycle and retention, organic and AI search, and the measurement that keeps all of it honest. I allocate by incrementality and contribution margin, not platform-reported ROAS, I own the number, and I build the work myself as much as I lead it. AI-native in how I operate, not as the pitch.
They are one system. Each one makes sense of the other three.
Organic and AI-search visibility built from zero, with a distinct play per engine: ChatGPT for awareness, Gemini for consideration, Perplexity for research. Crawler access, structured data, answer-first content, and the off-site corroboration citations depend on.
See the lane →Planning and buying across paid social, search, programmatic, video, CTV, and out-of-home, with holdouts, geo tests, and media mix modeling establishing what each channel actually contributes before a budget moves.
See the lane →Retention, loyalty, churn, and win-back, plus the subscription economics underneath them. Acquisition decides how many customers you get; this decides whether getting them was a good idea.
See the lane →The real path buyers take, the steps where intent quietly dies, and experimentation run with enough rigor to tell a real lift from a lucky two weeks.
See the lane →Interactive tools I built. Free, no signup, nothing collected. Use them, argue with them, share them.
Paste a URL and see what ChatGPT, Gemini, and Perplexity can actually read and cite: AI-crawler access, structured data, answer-first content, llms.txt, and a per-engine readiness score.
Analyze a site →Enter one topic and get the prompt clusters buyers actually ask, each assigned to the engine that owns that moment: ChatGPT for the awareness questions, Gemini for branded and comparison, Perplexity for validation research. Plus the asset to build and the schema it needs.
Map a topic →Find where Googlebot burns its budget on pages that never earn: sitemaps full of redirects and dead URLs, noindex pages that still get crawled, canonical waste, and parameter sprawl. Add your Search Console numbers to size the leak.
Check crawl budget →Your platform says the campaign worked. How much of that was going to happen anyway? See the gap between reported ROAS and likely incremental ROAS.
Run the numbers →You know what a customer costs. How long until they pay you back? Model the cohort curve from an activation cliff and an ongoing retention rate, and see what one point of retention does to payback and lifetime contribution.
Model the curve →Churn is four problems added together. Split it into involuntary, never-activated, completed, and dissatisfied, price each one, and see which pool is worth working first and who actually owns it.
Split the number →Ten blunt questions on whether your brand is visible where buying decisions now start, with a score and a fix-first list.
Get your score →US brands will spend $37B on creators in 2025, and the IAB says budgets grow on directional confidence, not proof. Measure them like any channel.
Shopify, Search Console, Meta and Google all changed how they count in the last year. None of it was performance. Here is the log every team should keep.
Incrementality goes unmeasured not because the math is hard but because no one will approve pausing spend. Here is how to get the yes.
15+ years in growth and performance marketing across enterprise retail, B2B services, agencies, and subscription DTC. Player-coach, measurement-obsessed, AI-native. Read the full story →