PostHog Metric
Product Analytics
User journey analysis maps the complete multi-session experience of PostHog users over their lifecycle - from first visit through onboarding, feature discovery, habitual usage, and expansion or churn. It reveals the long-term patterns that distinguish users who succeed from those who leave.
User Journey Analysis
User journey analysis maps the complete multi-session experience of PostHog users over their lifecycle - from first visit through onboarding, feature discovery, habitual usage, and expansion or churn. It reveals the long-term patterns that distinguish users who succeed from those who leave.
Why user journey analysis matters for PostHog users
User flow analysis covers single sessions. Journey analysis spans the entire relationship. A user might have a positive first session but never return. Another might struggle initially but become a power user after their third visit. These patterns are only visible across multiple sessions.
Mapping user journeys into your metric tree connects lifecycle-level behaviour to business outcomes. This reveals the multi-session paths that predict long-term retention and revenue, informing which early experiences to optimise for lasting impact.
Understand and act on user journey analysis with KPI Tree
KPI Tree connects multi-session journey data from your warehouse and maps progression patterns across the user lifecycle. Track journey milestones and the paths between them.
Assign RACI ownership to your growth product lead. Set alerts when journey patterns shift - such as users taking longer to reach key milestones - and track lifecycle experience improvements against their long-term impact.
Get started with your PostHog data
Pull 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
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.
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.
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.
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.
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
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