PostHog Metric
Product Analytics
Cohort retention analysis groups PostHog users by their signup or first-use date and tracks what percentage remain active over subsequent days, weeks, and months. It reveals retention curves per cohort, showing whether product changes improve or degrade long-term user retention.
Full guide: definition, formula, and benchmarksPostHogProduct AnalyticsCohort Retention Analysis
Cohort retention analysis groups PostHog users by their signup or first-use date and tracks what percentage remain active over subsequent days, weeks, and months. It reveals retention curves per cohort, showing whether product changes improve or degrade long-term user retention.
Why cohort retention analysis matters for PostHog users
Aggregate retention metrics can mask deteriorating trends. Your overall retention may appear stable while recent cohorts are retaining at progressively lower rates - a trend that will surface as a crisis once older, better-retaining cohorts age out. Cohort analysis provides the early warning.
Mapping cohort retention into your metric tree connects retention curves to the product changes, feature releases, and onboarding modifications that occurred when each cohort joined. This reveals whether specific changes improved or harmed retention.
Understand and act on cohort retention analysis with KPI Tree
KPI Tree connects cohorted user data from your warehouse and tracks retention curves per acquisition cohort. Position cohort retention alongside product change timelines in your tree.
Assign RACI ownership to your growth analytics lead. Set alerts when new cohorts underperform historical retention benchmarks and track investigations into product or acquisition changes that may explain the decline.
Get started with your PostHog data
MCPPull metrics from PostHog directly through the Model Context Protocol.
Connect your existing warehouse where PostHog data already lands.
Our professional services team can build you turn-key AI foundations in a matter of weeks. Data warehouse on Snowflake/BigQuery, ELT with Fivetran, all modelled in dbt with a semantic layer.
Related PostHog metrics
User Retention Rate
Product AnalyticsMetric Definition
Retention Rate = (Users Active in Period / Users Active in Previous Period) x 100
User retention rate measures the percentage of users who return to your product within a defined period after their first use, based on PostHog event data. It is the inverse of churn and the primary indicator of whether your product delivers sustained value over time.
Churn Rate
Product AnalyticsMetric Definition
Churn Rate = (Users Lost During Period / Users at Start of Period) x 100
Churn rate measures the percentage of users who stop using your product within a defined period, based on PostHog event data. It quantifies user attrition by identifying users whose activity drops below a defined threshold, providing a behavioural measure of retention failure.
User Activation Rate
Product AnalyticsMetric Definition
Activation Rate = (Users Completing Activation Actions / Total New Signups) x 100
User activation rate measures the percentage of new signups who complete a defined set of activation actions in PostHog within a specified timeframe. Activation actions typically represent the behaviours that correlate with long-term retention, such as completing onboarding, creating a first project, or inviting a colleague.
Daily Active Users
Product AnalyticsMetric Definition
Daily active users counts the unique users who trigger at least one qualifying event in PostHog within a calendar day. It serves as the foundational measure of product engagement, indicating how many users find enough value in your product to return and use it daily.
Feature Adoption Rate
Product AnalyticsMetric Definition
Feature Adoption Rate = (Users Who Used Feature / Total Eligible Users) x 100
Feature adoption rate measures the percentage of eligible users who have used a specific feature within a defined period after its release or their first login. It quantifies how effectively your product introduces users to new and existing capabilities.
Explore cohort retention analysis across integrations
All PostHog metrics
A/B Test PerformanceBounce RateChurn RateConversion RateDaily Active UsersDrop-Off AnalysisEvent Frequency AnalysisFeature Adoption RateFeature Flag Impact AnalysisFeature StickinessFunnel Conversion AnalysisGoal Completion RateMonthly Active UsersPage/Screen ViewsSession DurationSession FrequencySurvey Response AnalysisTime Between EventsTime to First ValueTrend AnalysisUser Activation RateUser Flow AnalysisUser Journey AnalysisUser Retention RateUser Segmentation AnalysisWeekly Active UsersEmpower your team to understand and act on PostHog data
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