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Product Analytics guides
Behavioral event data, explained How product and marketing teams turn raw clicks and actions into events, and what separates a usable event stream from a noisy one. How to analyze a conversion funnel Building a funnel in SQL, choosing ordered vs unordered steps, and the ways funnels quietly mislead once you trust them too far. How to choose a product analytics tool Product analytics tools split by how events get captured, who reads them, and whether in-app engagement is bundled in — decide those first. How to define a north star metric What makes a north star metric useful rather than decorative, the input metrics and guardrails around it, and examples by business model. How to run a cohort retention analysis How to build a retention cohort table in SQL, read the curve it produces, and avoid the comparisons that quietly mislead. How to set up an experimentation program From your first A/B test to a durable program — the plumbing, the statistics rules, the review ritual, and the tools that support each stage. How to write a tracking plan A practical method for defining events, properties, naming conventions, ownership and QA before anyone ships an instrumentation line.