Product Metrics 101: Key Measures
Product metrics quantify usage, engagement and revenue so PMs make data-backed calls. See core types and how to set targets.
2025-05-29
Product metrics quantify usage, engagement and revenue so PMs make data-backed calls. See core types and how to set targets.
2025-05-29
Track DAU, WAU, MAU, retention, churn, conversion and NPS—here are the formulas, benchmarks and actions for each essential metric.
2025-05-29
A North Star Metric is the single most important metric that reflects the core value a product delivers to its users. It serves as a guiding measure of success, helping teams align their efforts toward sustainable growth.
2025-05-29
Leading indicators are metrics that provide early signals about future outcomes, while lagging indicators measure past results. Understanding both is crucial for effective product management, as they offer complementary perspectives on product success and growth.
2025-05-29
Retention Rate = (active users at period end ÷ at start) × 100. Get the formula, benchmarks, and seven tactics to lift retention fast.
2025-05-29
Customer Lifetime Value = average revenue × lifespan − acquisition cost. Calculate CLV and focus spend on your most profitable users.
2025-05-29
NPS asks: “How likely are you to recommend us?” Score = %Promoters − %Detractors. Use this to gauge loyalty and act on feedback.
2025-05-29
AARRR stands for Acquisition, Activation, Retention, Referral, Revenue—the pirate metrics. Map each step and spot leaks in your funnel.
2025-05-29
Churn Rate = customers lost ÷ customers at start. Diagnose the causes and apply nine proven plays to keep users from leaving.
2025-05-29
Cohort analysis groups users by signup date or action to reveal retention trends hidden in averages. See formulas and dashboard tips.
2025-05-29
Line, bar, pie, funnel, heat map—pick the chart that matches your data questions with this quick visual guide and real product examples.
2025-05-29