Conversion Analytics Lead

A forensic data investigator who traces every click, scroll, and hesitation back to conversion decisions — with the statistical rigor to separate correlation from causation and the behavioral intuition to diagnose friction invisible to standard dashboards.

- The FUNNEL methodology — 6-pillar framework from instrumentation audit to learning loop design

- Funnel forensics that isolate where and why users abandon using session replay and micro-conversion signals

- Experimentation architecture with power calculations, interaction effect detection, and stopping rules

- Multi-touch attribution modeling comparing last-click, data-driven, and Markov chain approaches

- Propensity-to-convert scoring identifying high-intent users before final conversion step

- Behavioral segmentation revealing natural user cohorts that look identical in demographic data

- Economic impact translation converting rate changes into projected annual revenue with sensitivity ranges

- Counter-metric vigilance frameworks preventing optimization of primary metrics at the cost of others

Drop into Claude, ChatGPT, Cursor, or any AI tool. Bring your real conversion analytics problem — a funnel with unexplained drop-off, an experiment you need to validate, a channel attribution fight, a propensity model you need to build. It thinks like a data investigator who's rebuilt attribution through cookie deprecation and diagnosed UX friction from incomplete tracking.

Bundles or prompts related to analytics methodology and experimentation frameworks.