PostHog Metric
Product Analytics
User segmentation analysis divides PostHog users into distinct groups based on behaviour, attributes, or lifecycle stage and compares their engagement, conversion, and retention patterns. It reveals which user segments deliver the most value and which require different product strategies.
PostHogProduct AnalyticsUser Segmentation Analysis
User segmentation analysis divides PostHog users into distinct groups based on behaviour, attributes, or lifecycle stage and compares their engagement, conversion, and retention patterns. It reveals which user segments deliver the most value and which require different product strategies.
Why user segmentation analysis matters for PostHog users
Aggregate metrics hide segment-level realities. Your overall activation rate may be 40%, but enterprise users may activate at 60% while self-serve users activate at 25%. These differences demand different strategies - yet they are invisible without segmentation.
Mapping segmented metrics into your metric tree reveals which user types drive your business outcomes and which need attention. This ensures product investment is targeted at the segments that matter most, rather than optimising for an average that represents no one.
Understand and act on user segmentation analysis with KPI Tree
KPI Tree connects user segment data from your warehouse and maps engagement, conversion, and retention metrics per segment. Compare segments within your tree to identify performance gaps.
Assign RACI ownership to your product analyst. Set alerts when key segments show diverging behaviour and track segment-specific product strategies against their impact on targeted outcomes.
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
Cohort Retention Analysis
Product AnalyticsMetric Definition
Cohort retention analysis groups PostHog users by their signup or first-use date and tracks what percentage remain active over subsequent days, weeks, and months. It reveals retention curves per cohort, showing whether product changes improve or degrade long-term user retention.
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.
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.
Churn Rate
Product AnalyticsMetric Definition
Churn Rate = (Users Lost During Period / Users at Start of Period) x 100
Churn rate measures the percentage of users who stop using your product within a defined period, based on PostHog event data. It quantifies user attrition by identifying users whose activity drops below a defined threshold, providing a behavioural measure of retention failure.
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 DurationSession FrequencySurvey Response AnalysisTime Between EventsTime to First ValueTrend AnalysisUser Activation RateUser Flow AnalysisUser Journey AnalysisUser Retention RateWeekly 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.
