
Posthog
Connect product usage with revenue performance and customer lifetime value
Product-led revenue growth
Identify usage patterns that drive expansion, upgrades, and customer lifetime value
Engagement-based forecasting
Predict revenue outcomes based on product adoption and engagement trends
Customer health scoring
Build product-usage health scores to prioritize CS and sales efforts
Posthog Data Types
Revenue-Driven Cohorts
Track cohort LTV, MRR expansion, and revenue retention by engagement level
Conversion Analytics
Measure free-to-paid conversion and identify product-led expansion triggers
Feature Adoption by Tier
Analyze which features drive pricing tier upgrades and expansion revenue
Revenue Risk Signals
Identify usage drops that correlate with churn and contraction
Account Engagement
Track product adoption at the account level for enterprise customer success
Activation Impact
Measure activation milestones that predict long-term retention and higher LTV
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