Product Analytics

This helps you define funnels, run cohort analysis, measure retention curves, and build metrics frameworks that actually matter. It comes with opinionated guidance on event taxonomy (object_action naming), when to segment data, and how to read retention tables without fooling yourself. The best part is the principle hierarchy: instrument before you need data, define success metrics before shipping features, and never trust aggregate numbers when segments tell the real story. It includes benchmarks for D1/D7/D30 retention by product category and explains why a retention curve's shape matters as much as the final number. Solid for anyone who needs to move past vanity metrics.