Cohort Analysis and Retention Metrics Questions

Cohort analysis and retention metrics cover methods for grouping users into cohorts by acquisition date, behavior, channel, geography, or other attributes and tracking their behavior over time. Candidates should be comfortable defining cohorts, computing retention curves and retention tables, and calculating key metrics such as day one retention, day seven retention, rolling retention, repeat engagement, churn rates, and cohort lifetime value. Understand how to interpret retention curve shapes and cohort trends to diagnose product market fit, onboarding problems, or channel quality, and how retention drives unit economics and revenue. Practical skills include writing queries in structured query language to segment users and produce cohort tables, plotting retention curves, comparing cohorts across acquisition channels, running cohort based experiments and A B tests, and using cohort insights to prioritize product changes and growth experiments.