PostHog Metric
Product Analytics
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.
PostHogProduct AnalyticsEvent Frequency Analysis
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.
Why event frequency analysis matters for PostHog users
Knowing that a feature is used is less valuable than knowing how intensely it is used. A feature with 1,000 users who each use it once is fundamentally different from one with 200 users who each use it 20 times. Frequency reveals the depth of value a feature provides.
Mapping event frequency into your metric tree connects usage intensity to retention and revenue outcomes. Statistical correlations reveal the frequency thresholds that predict long-term retention, helping you define what "healthy usage" looks like for each feature.
Understand and act on event frequency analysis with KPI Tree
KPI Tree connects event frequency data from your warehouse and maps usage distributions per feature. Track frequency histograms and identify the thresholds that correlate with retention.
Assign RACI ownership to your product analyst. Set alerts when usage frequency patterns shift and track product changes aimed at increasing usage depth for key features.
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
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.
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.
Session Frequency
Product AnalyticsMetric Definition
Average Session Frequency = Total Sessions / Unique Users (per period)
Session frequency measures how often individual users return to your product within a defined period, based on PostHog session data. It distinguishes between users who visit daily, weekly, or sporadically, revealing the cadence of habitual product usage.
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.
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.
All PostHog metrics
A/B Test PerformanceBounce RateChurn RateCohort Retention AnalysisConversion RateDaily Active UsersDrop-Off 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
Map what drives your metrics, measure progress at any grain, prove what works statistically, and deliver personalised action plans to every team member.
