product-analytics

Event tracking captures structured user actions using analytics.track calls that record what users do—like button clicks or feature interactions. Define clear event schemas with consistent naming and properties, then instrument your web or mobile app to send these events to your analytics system for measurement and analysis.

Funnel analysis tracks users through sequential steps—signup to payment, for example—and reveals conversion rates at each stage. Implement event tracking for each funnel step, then analyze drop-off points to find bottlenecks where most users abandon the flow and optimize those moments.

Cohort analysis groups users by signup date or first action, then tracks how many return in subsequent periods. Use analytics.identify to tag users consistently, create cohorts based on shared characteristics or timing, and measure retention metrics to understand which user segments stay engaged.

A North Star metric hierarchy establishes one primary business metric—like activation rate or monthly active users—supported by KPIs that drive it. Define this hierarchy upfront, connect events and cohorts to each metric, and validate that your tracking delivers reliable, dashboard-ready insights.

Yes, structured event tracking with analytics.track, analytics.page, and analytics.identify works across web and mobile platforms when you maintain consistent event schemas and naming conventions. This unified approach lets you analyze user journeys across devices and build comprehensive retention cohorts.