Activation funnel instrumentation — moments that predict retention

Cohort retention curves — understanding if early users come back

Session replay — seeing where onboarding breaks

Feature flag capability — shipping experiments without full code deployments

Low engineering overhead — minimize time to answer

Rigorous experimentation — statistical significance, power analysis

Advanced segmentation — company size, ICP fit, feature adoption tier

Predictive churn modeling — identifying at-risk accounts 45+ days out

Data warehouse integration — centralizing product, CRM, and billing data

Cross-functional reporting — CS, sales, and product working from the same numbers