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Where does activation break?
Build an onboarding funnel and segment every step by account, plan, cohort, or acquisition context.
Put PostHog events beside application and revenue data. Build funnels and cohorts that can answer not only what happened, but which accounts retained, expanded, or churned.
A useful data stack earns its keep by answering concrete questions. These are the decisions this solution is designed to support.
Build an onboarding funnel and segment every step by account, plan, cohort, or acquisition context.
Compare feature adoption with later activity, subscription status, and expansion to find meaningful behavior.
Combine declining usage with account and billing signals to investigate churn before the renewal decision.
Sync PostHog beside the production database that holds users, workspaces, plans, and account state.
Model identity, sessions, activation events, and account-level behavior so analysis survives taxonomy changes.
Ask for funnels, cohorts, and comparisons in plain English, then inspect or refine the underlying SQL.
Turn the useful queries into a product dashboard shared across product, growth, and leadership.
Each solution uses the same connected platform: sync the sources, model the business logic, query with the agent, and turn the result into a dashboard or application. Adopt the modules you need now without rebuilding the context at every layer.
Product analytics uses behavioral data to understand how people adopt, use, and retain a product. Useful analysis includes activation funnels, cohort retention, feature adoption, and frequency of use.
Event tools know behavior, while your application database knows the account. Joining them lets you analyze usage by workspace, plan, lifecycle, and other business dimensions.
Yes. With PostHog, application, and Stripe data modeled together, you can compare behavior with conversion, retention, expansion, and churn.
Open source, self-hostable, and free to start. Connect a source and put the first useful answer on screen.