Product analytics is the practice of collecting, measuring, and analysing data about how users interact with your product — so you can make decisions that drive growth.
Why Product Analytics Matters
Without analytics, product decisions are guesswork. With it, your team can answer questions like:
- Which features do users actually use?
- Where do users drop off in your onboarding flow?
- What behaviour predicts long-term retention?
- Which user segment is most likely to upgrade?
Core Concepts
Events and Properties
The foundation of product analytics is event tracking — capturing discrete actions users take (e.g., “Signed Up”, “Completed Onboarding”, “Upgraded Plan”) along with properties that describe those actions (user ID, plan type, referral source).
Funnels
A funnel visualises the conversion rate between sequential steps. If 1,000 users start your onboarding but only 200 complete it, your funnel has an 80% drop-off somewhere — and analytics tells you exactly where.
Retention
Retention analysis shows how many users return to your product over time. It’s the most important metric for sustainable growth. Day-1, Day-7, and Day-30 retention rates are the standard benchmarks.
Cohort Analysis
Cohort analysis groups users by a shared characteristic (typically signup date) and tracks their behaviour over time. It’s how you separate signal from noise when your product is constantly evolving.
Choosing the Right Tool
The most popular product analytics platforms are Mixpanel, Amplitude, and PostHog. Each has strengths depending on your team size, technical capability, and budget.
The key is not which tool you choose — it’s whether you’re asking the right questions and tracking the right events to answer them.