KPI Tree

PostHog Metric

Product Analytics

Goal Completion Rate = (Users Completing Goal / Total Users in Cohort) x 100

Goal completion rate measures the percentage of PostHog users who achieve a predefined product objective - such as completing onboarding, creating their first project, inviting a team member, or reaching a usage milestone. It quantifies how effectively your product guides users toward its intended value.

Full guide: definition, formula, and benchmarks
PostHogProduct Analytics

Goal Completion Rate

Goal completion rate measures the percentage of PostHog users who achieve a predefined product objective - such as completing onboarding, creating their first project, inviting a team member, or reaching a usage milestone. It quantifies how effectively your product guides users toward its intended value.

How to calculate goal completion rate

Goal Completion Rate = (Users Completing Goal / Total Users in Cohort) x 100

Why goal completion rate matters for PostHog users

Goals represent the outcomes your product is designed to deliver. A user who signs up but never completes their first meaningful action has not experienced your product's value. Goal completion rate measures the gap between signing up and getting value.

Positioning goal completion in your metric tree connects it to downstream retention and revenue. Users who complete key goals retain at significantly higher rates. Correlations quantify exactly how much each goal contributes to long-term retention, prioritising which goals to optimise.

Understand and act on goal completion rate with KPI Tree

KPI Tree syncs goal completion data from your warehouse and tracks rates per goal, user segment, and acquisition source. Position goals as key outcome metrics in your activation tree.

Assign RACI ownership to the product manager responsible for each goal. Set alerts when completion rates decline and track product changes aimed at removing barriers to goal achievement.

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MCP

Pull metrics from PostHog directly through the Model Context Protocol.

Data Warehouse
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Connect your existing warehouse where PostHog data already lands.

Professional Services
FivetranSnowflakedbt

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

Conversion Rate

Product Analytics

Metric 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.

View metric

User Activation Rate

Product Analytics

Metric 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.

View metric

Funnel Conversion Analysis

Product Analytics

Metric 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.

View metric

Time to First Value

Product Analytics

Metric 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.

View metric

Feature Adoption Rate

Product Analytics

Metric 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.

View metric

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