PostHog Metric
Product Analytics
Drop-off analysis identifies the specific steps within PostHog funnels where users disengage or fail to proceed. It quantifies attrition at each stage to pinpoint the features, screens, or interactions that cause users to abandon their journey before reaching the desired outcome.
Drop-Off Analysis
Drop-off analysis identifies the specific steps within PostHog funnels where users disengage or fail to proceed. It quantifies attrition at each stage to pinpoint the features, screens, or interactions that cause users to abandon their journey before reaching the desired outcome.
Why drop-off analysis matters for PostHog users
A funnel with a 10% overall conversion rate has a 90% drop-off problem, but the aggregate number does not reveal where users are lost. Drop-off analysis shows whether users abandon during onboarding, at a feature gate, during a complex workflow, or at the pricing page.
Mapping drop-off points in your metric tree isolates the specific steps that need attention. This transforms funnel optimisation from broad experimentation into targeted improvement focused on the steps with the highest attrition and the greatest conversion potential.
Understand and act on drop-off analysis with KPI Tree
KPI Tree connects step-level funnel data from your warehouse and tracks progression and drop-off rates at each stage. Visualise the funnel as a sequential branch in your metric tree.
Assign RACI ownership to the product manager responsible for each funnel stage. Set alerts when drop-off at any step exceeds acceptable thresholds and track design changes aimed at reducing friction at those points.
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
Funnel Conversion Analysis
Product AnalyticsMetric Definition
Funnel conversion analysis tracks user progression through defined multi-step journeys in PostHog - from initial action through intermediate steps to final conversion. It measures the conversion rate at each step and identifies where the largest opportunities for improvement exist.
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 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.
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.
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.
All PostHog metrics
Empower 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.