Product Metrics Reference
Explore definitions and formulas for acquisition, activation, retention and revenue metrics.
YOUR LEARNING PATH
Analyze user behavior, funnels, retention and product experiments.
A free self-paced learning path with curated external learning resources.
Define a North Star metric, metric trees, guardrails and meaningful success criteria.
Explore definitions and formulas for acquisition, activation, retention and revenue metrics.
Use a platform-independent workbook to choose and interpret product metrics.
Design events and properties, create a tracking plan and validate analytics data.
Learn how to define events, properties, naming rules and ownership before implementation.
Find drop-off points, measure repeat behavior and compare meaningful user segments.
Understand how ordered steps reveal conversion rates and drop-off points.
Learn how to measure retention, identify churn patterns and interpret repeat behavior.
Learn how cohorts reveal changes in user behavior and retention over time.
Review platform-independent concepts for identity, funnels, paths and retention.
Retrieve, filter, aggregate and combine data, then use CTEs and window functions.
Learn SQL through short interactive lessons and browser-based exercises.
Learn SQL for data analysis from basic through intermediate and advanced topics.
Practice basic queries, GROUP BY, CTEs and JOINs using BigQuery.
Learn JOINs, UNIONs, window functions, nested data and query optimization.
Start a free database, load a CSV and write queries in the built-in SQL Editor.
Install SQLite, create a database and run queries without setting up a database server.
Learn Python, clean and analyze data with pandas, and work in notebooks.
Learn Python fundamentals through short explanations and hands-on notebook exercises.
Practice selecting, filtering, grouping, combining and transforming tabular data.
Handle missing values, inconsistent formats, encodings and other common data-quality problems.
Create clear exploratory charts with Python and communicate patterns in data.
Practice Python in a free cloud-based notebook.
Choose tools based on whether you need web, mobile attribution or behavioral analysis.
For websites, traffic acquisition, campaign performance and ecommerce reporting.
For mobile attribution, install sources, deep links and campaign measurement.
For event-based funnels, retention, cohorts and feature adoption analysis.
For behavioral analytics, user journeys, retention and experimentation.
Compare web reporting, mobile attribution, funnels, retention and data exports.
Form hypotheses, choose metrics, estimate uncertainty and interpret experiment results.
Learn sampling distributions, confidence intervals and hypothesis testing.
Understand sample size, statistical power and common testing mistakes.
Estimate the traffic needed for a two-variant conversion experiment.
Choose effective charts, build dashboards and communicate actionable insights.
Learn charts, calculated fields, dashboards and visual analytics.
Build interactive dashboards, filters and calculated fields with Google’s free BI tool.
Learn to connect data, create reports and dashboards with Microsoft’s free BI tool.
Build and share an interactive dashboard based on a public dataset.
Power BI Desktop is a free application that lets you connect to, transform, and visualize your data.