KPI Tree

PostHog Metric

Product Analytics

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.

PostHogProduct Analytics

Funnel Conversion Analysis

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.

Why funnel conversion analysis matters for PostHog users

Overall conversion rate masks the specific steps where users disengage. A signup-to-activation funnel might lose 40% of users at the workspace setup step but only 5% at email verification. Without step-level analysis, you optimise blindly. With it, you focus resources on the steps with the greatest leverage.

Mapping funnel steps into your metric tree makes each step visible with its own metrics and owner. When overall conversion drops, the tree immediately reveals which step caused the decline, enabling rapid, targeted response.

Understand and act on funnel conversion analysis with KPI Tree

KPI Tree connects funnel data from your warehouse and arranges steps into a sequential tree. Track step-level conversion rates segmented by user type, acquisition source, and device.

Assign RACI ownership to the team responsible for each funnel stage. Set alerts for conversion drops at any step and track optimisation actions tied to the specific stage causing degradation.

Get started with your PostHog data

Query using MCP
MCP

Pull metrics from PostHog directly through the Model Context Protocol.

Data Warehouse
SnowflakeBigQueryDatabricksRedshift

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.

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Drop-Off Analysis

Product Analytics

Metric Definition

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.

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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.

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Goal Completion Rate

Product Analytics

Metric Definition

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.

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User Flow Analysis

Product Analytics

Metric 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.

View metric

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