Consumer App Growth & Retention
Analyze install-to-value funnels, active use, cohort retention, trial and paid conversion, monetization, releases, and acquisition sources.
Interactive sample in preparation
What you get
A useful first version with the main workflow already mapped out.
- Install-to-paid funnel
- Retention cohort heatmap
- Channel and version comparison
- Release annotations
Sample data
Twenty synthetic weeks of installs, anonymous users, sessions, screens, critical events, versions, releases, acquisition spend, trials, subscriptions, in-app purchases, refunds, and uninstalls.
Measures included
- DAU/MAU
- D1 retention
- D7 retention
- D30 retention
- Paid conversion
- ARPDAU
Connect your data
Start with the sample rows, then replace them with the systems you already use.
PostHog
API ready
Anonymous app events, sessions, versions, screens, and user properties
Stripe
Direct connector
Web subscriptions, payments, refunds, and recurring revenue
BigQuery
Direct connector
Install, event, campaign, purchase, and cohort models
CSV
File import
App-store purchase, acquisition-spend, and uninstall exports
Make it yours
Describe a change in plain English and keep adapting the tool as the work changes.
- 01Change the app's first-value event
- 02Compare organic and paid acquisition payback
- 03Add a subscriber-versus-free engagement view
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