PostHog Metric
Product Analytics
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.
Full guide: definition, formula, and benchmarksPostHogProduct AnalyticsFeature Adoption Rate
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.
How to calculate feature adoption rate
Why feature adoption rate matters for PostHog users
Features that go unused represent wasted development investment. Low adoption may indicate poor discoverability, confusing UX, or a feature that does not solve a real problem. Understanding which features achieve high adoption - and why - informs product development priorities.
Mapping feature adoption into your metric tree connects it to retention and revenue outcomes. Correlations reveal which features have a statistically significant relationship with retention, helping you distinguish between features users like and features that keep users.
Understand and act on feature adoption rate with KPI Tree
KPI Tree syncs feature usage data from your warehouse and tracks adoption rates per feature and user segment. Position adoption metrics alongside retention and engagement in your product tree.
Assign RACI ownership to the product manager responsible for each feature. Set alerts when adoption stalls below targets and track improvements to discoverability, onboarding, and UX.
Get started with your PostHog data
MCPPull metrics from PostHog directly through the Model Context Protocol.
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Related PostHog metrics
Feature Stickiness
Product AnalyticsMetric Definition
Feature Stickiness = (Feature DAU / Feature MAU) x 100
Feature stickiness measures the ratio of daily active users to monthly active users for a specific feature, expressed as a percentage. A higher ratio indicates that users who discover a feature return to use it regularly, suggesting it provides ongoing value rather than one-time utility.
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.
Feature Flag Impact Analysis
Product AnalyticsMetric Definition
Feature flag impact analysis evaluates how PostHog feature flags and gradual rollouts affect engagement, conversion, retention, and revenue metrics. It measures the business impact of enabling or disabling features for specific user segments, providing evidence for rollout decisions.
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.
Event Frequency Analysis
Product AnalyticsMetric Definition
Event frequency analysis examines how often users trigger specific PostHog events within defined time periods. It reveals usage intensity patterns - distinguishing between casual users who perform an action once and power users who perform it dozens of times - and identifies the frequency thresholds that predict retention.
Explore feature adoption rate across integrations
All PostHog metrics
A/B Test PerformanceBounce RateChurn RateCohort Retention AnalysisConversion RateDaily Active UsersDrop-Off AnalysisEvent Frequency AnalysisFeature 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
Map what drives your metrics, measure progress at any grain, prove what works statistically, and deliver personalised action plans to every team member.
