📈 Product Analytics
Product analytics transforms raw usage data into actionable insights. It answers three questions: What are users doing? Why are they doing it? What should we change? Key metrics include activation rates, retention curves, feature adoption, funnel conversion, and engagement patterns. The goal is not to collect more data but to ask better questions.
Analytics Framework
Acquisition
How users find your product — channels, campaigns, referrals
Activation
First value moment — when users understand the product's value
Retention
Continued usage over time — cohort analysis, churn signals
Revenue
Monetization — LTV, ARPU, conversion rates, expansion revenue
Referral
Organic growth — NPS, viral coefficients, word-of-mouth
Real-World Example
Dropbox discovered through analytics that users who uploaded at least one file within their first hour had 4x higher 30-day retention. This insight led them to redesign onboarding to guide users toward that first upload immediately, dramatically improving activation rates.