Measurement frameworks that tie engagement to retention and revenue. Cohort analysis, experimentation roadmaps, and AI-powered workflows that multiply your team’s testing velocity instead of replacing your team.
If your engagement metrics can’t be tied to retention and revenue, you don’t have measurement — you have dashboards. I build the frameworks that connect behavior to business outcomes: cohort analysis, LTV models, churn-risk scoring, and funnel monitoring that flags problems while they’re still cheap. At Verizon, that discipline surfaced a $3M-per-month payment leak that nobody was looking for.
Then we make the whole system faster. I build structured testing programs — the roadmap, the hypotheses, the decision rules — and AI-powered workflows for campaign development and analysis that multiply your team’s velocity instead of replacing your team. I’ve deployed predictive decisioning at 20M+ customer scale and use AI daily in my own work; this is practiced, not aspirational.
You end up with a learning agenda your team runs without me. That’s the point.
Measurement frameworks, cohort views, and a living testing roadmap — plus AI workflows for briefs, variants, and analysis that make your team faster every week I’m gone.
If a metric can’t change a decision, we don’t track it.