29:23David Lee explains how to measure cohort retention by grouping new users, choosing a meaningful active-user action, and matching the measurement period to how often the product should be used. He shows how to read retention tables and curves, arguing that whether a curve flattens matters more than its height because retained users can accumulate over time. He warns against misleading metrics, including overly broad time periods, shallow actions, isolated retention figures, and misunderstood analytics dashboards. He closes with ways to improve retention through product changes, better user targeting, onboarding, and network effects, and shows how retained cohorts build a growing user base.
