PostHog Metric
Product Analytics
Bounce Rate = (Single-Page Sessions / Total Sessions) x 100
Bounce rate in PostHog measures the percentage of sessions where a user visits a single page or screen and leaves without triggering any additional events. It indicates how effectively your entry points engage users enough to explore further.
Full guide: definition, formula, and benchmarksPostHogProduct AnalyticsBounce Rate
Bounce rate in PostHog measures the percentage of sessions where a user visits a single page or screen and leaves without triggering any additional events. It indicates how effectively your entry points engage users enough to explore further.
How to calculate bounce rate
Why bounce rate matters for PostHog users
A high bounce rate means users are arriving but not engaging. In a product context, this often signals onboarding friction, confusing landing states, or a mismatch between user expectations and the experience they encounter. The root cause varies by entry point and user segment.
Positioning bounce rate in your metric tree alongside activation and retention metrics reveals whether first-impression quality is a bottleneck in your growth funnel. Statistical correlations show which entry points and user segments have the most impactful bounce problems.
Understand and act on bounce rate with KPI Tree
KPI Tree syncs bounce rate data from your warehouse and tracks it per page, feature area, and acquisition source. Position it alongside activation metrics in your onboarding tree.
Assign RACI ownership to your product designer or UX lead. Set alerts when bounce rates spike on key entry points and track design changes aimed at reducing first-visit abandonment.
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
Session Duration
Product AnalyticsMetric Definition
Average Session Duration = Total Session Time / Total Sessions
Session duration measures the average time users spend in your product during a single PostHog session, calculated as the time between the first and last event. It indicates engagement depth and whether users spend enough time to derive value from your product.
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.
Page/Screen Views
Product AnalyticsMetric Definition
Page and screen views measure the total number of times specific pages or screens are viewed within your product, as tracked by PostHog. This metric reveals which areas of your product receive the most attention and how users navigate through your interface.
Conversion Rate
Product AnalyticsMetric Definition
Conversion Rate = (Users Completing Action / Total Users in Cohort) x 100
Conversion rate in PostHog measures the percentage of users who complete a defined conversion action - such as signing up, activating a feature, upgrading to a paid plan, or completing a key workflow. It quantifies how effectively your product converts users at each stage of the journey.
Time to First Value
Product AnalyticsMetric Definition
Time to first value measures the duration between a user's first interaction with your product and the moment they complete a defined value-delivering action - their "aha moment" - as tracked in PostHog. It quantifies how quickly your product demonstrates its worth to new users.
Explore bounce rate across integrations
All PostHog metrics
A/B Test PerformanceChurn RateCohort Retention AnalysisConversion 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
Map what drives your metrics, measure progress at any grain, prove what works statistically, and deliver personalised action plans to every team member.
