Data-driven product decisions through user behavior analysis
Product analytics is the practice of collecting, analyzing, and acting on user behavior data to improve products. It covers event tracking, funnel analysis, retention curves, feature adoption metrics, and experiment analysis using tools like Amplitude, Mixpanel, PostHog, and custom data stacks. Product managers and growth teams who master analytics make significantly better decisions, ship faster by validating assumptions, and drive measurable business outcomes.