PostHog Metric
Product Analytics
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.
Full guide: definition, formula, and benchmarksPostHogProduct AnalyticsSession Duration
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.
How to calculate session duration
Why session duration matters for PostHog users
Session duration provides context for feature usage data. A user who spends 30 seconds in your product likely completed a quick task or bounced. A user who spends 30 minutes is deeply engaged. The optimal duration depends on your product type - a dashboard tool may target short, frequent sessions while a creative tool may target long, immersive ones.
Positioning session duration in your metric tree alongside conversion and retention metrics reveals the engagement depth that predicts positive outcomes. This helps define what a "healthy session" looks like for your product.
Understand and act on session duration with KPI Tree
KPI Tree syncs session duration data from your warehouse and tracks it per feature area, user segment, and acquisition source. Position alongside other engagement metrics in your product tree.
Assign RACI ownership to your product lead. Set alerts when average session duration shifts significantly and track product changes against their impact on session depth.
Get started with your PostHog data
MCPPull metrics from PostHog directly through the Model Context Protocol.
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Related PostHog metrics
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.
Bounce Rate
Product AnalyticsMetric Definition
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.
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.
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.
Explore session duration across integrations
All PostHog metrics
A/B Test PerformanceBounce RateChurn RateCohort Retention AnalysisConversion RateDaily Active UsersDrop-Off AnalysisEvent Frequency AnalysisFeature Adoption RateFeature Flag Impact AnalysisFeature StickinessFunnel Conversion AnalysisGoal Completion RateMonthly Active UsersPage/Screen ViewsSession 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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