Definition
Feature Adoption Rate measures the reach of a specific feature within your user base. It answers: "Of all the users who could use this feature, how many actually did?" This metric is essential for evaluating feature launches and guiding sunset decisions. Low adoption might indicate poor discoverability, unclear value proposition, or misalignment with user needs. High adoption paired with low engagement (users try it once and stop) suggests the feature disappoints after first use.
Formula
How to measure
Track `feature_used` events per feature. Calculate unique users who triggered the event ÷ eligible user base (users who have access to the feature). Measure over a defined window (7 days, 30 days). Segment by user tenure, plan tier, and discovery path (how they found the feature).
Industry benchmarks
New features: 20–40% adoption within the first month is healthy. Core features: 60–80%+ adoption indicates product-market alignment. If a feature has below 10% adoption after 3 months, evaluate whether it should be redesigned, better promoted, or deprecated.