Handles the full analytics stack from tracking setup through ROI calculation. You'll reach for this when implementing GA4 events, debugging conversion funnels, or figuring out why users drop off between steps. It enforces a tracking plan with snake_case naming conventions, includes benchmark tables for engagement metrics, and walks you through cohort analysis and retention curves. The funnel analysis section provides Python implementations with Plotly visualizations. Honestly most useful for the structured approach to event naming and the decision frameworks, less so if you just need to drop in a single GTM snippet. Routes to ab-test-setup for experiments.
npx skills add https://github.com/manojbajaj95/claude-gtm-plugin --skill data-and-funnel-analytics