PostHog Metric
Product Analytics
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.
PostHogProduct AnalyticsPage/Screen Views
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.
Why page/screen views matters for PostHog users
Page views reveal the actual usage patterns of your product, which often differ from the intended flows. A settings page with unusually high views may indicate confusion rather than configuration activity. A feature page with minimal views may need better discoverability, not better functionality.
Mapping page views into your metric tree connects navigation behaviour to conversion and retention outcomes. Correlations reveal which pages and screens users visit before converting, churning, or upgrading, informing navigation and product design decisions.
Understand and act on page/screen views with KPI Tree
KPI Tree connects page view data from your warehouse and tracks views per page, user segment, and session context. Position alongside engagement and conversion metrics in your product tree.
Assign RACI ownership to your product designer. Set alerts when page view patterns shift unexpectedly and track navigation and layout changes against their impact on user flow.
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.
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.
User Flow Analysis
Product AnalyticsMetric Definition
User flow analysis maps the paths users take through your product in PostHog, from entry point through feature interactions to exit or conversion. It identifies the most common navigation patterns, unexpected detours, and the paths that most frequently lead to activation, retention, or churn.
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.
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.
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 UsersSession 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.
