Analytics glossary. Product analytics terms explained.
Plain-language definitions of the terms you meet when you measure how people use software, written by the team behind smolanalytics. Each one opens with a short definition, then links to a full page.
What do the analytics terms mean?
Measuring how people actually use a product, event by event, to answer questions like what makes users stick, where they drop off, and what to fix, using funnels, retention, cohorts, and paths rather than raw pageview counts.
read the definition →An analytics backend that speaks the Model Context Protocol, so a coding agent like Cursor or Claude can query your real numbers in plain English and get answers computed from your data, not guessed, in the same window where you write code.
read the definition →Tracking the share of users who complete each step of an ordered flow (say signup, activate, pay) to find the single step where the most people drop off, so you know exactly which part of the journey to fix first.
read the definition →More terms are added as the pages ship. New to the space? Start with product analytics, then follow the cross-links from there.