- Formula
- Users who used feature / active users
- Unit
- %
- Models
- SaaS, Subscription
| core feature average | 24.5% | Userpilot |
What it is
Feature adoption rate measures the proportion of active users who have used a specific product feature. The formula is: Users who used feature / active users. It is a per-feature metric, not a portfolio rollup.
How to calculate it
For a given feature, count the distinct active users who triggered the feature at least once in the measurement window, then divide by total active users in that same window. Active users are typically defined at the monthly or weekly level depending on your product's natural usage cadence.
Why it matters
Feature adoption rate signals whether new capabilities are being discovered and retained by the user base. Low adoption for a high-investment feature may indicate discovery or UX friction rather than lack of demand. For SaaS and subscription products, broad adoption of core features is correlated with stronger retention and expansion revenue, since deeply embedded users have higher switching costs.
Benchmarks & pitfalls
Userpilot (2024) reports an average core-feature adoption rate of ~24.5%. This is a directional figure — a rule of thumb rather than the output of a rigorous study — so treat it as a rough reference point. A critical measurement pitfall: Pendo's frequently cited 6.4% figure is a Pareto/portfolio metric measuring the median feature's reach across an entire product catalog, not adoption of any individual feature. Conflating the two produces a dramatically distorted baseline. Always measure at the individual feature level and define "used" consistently (e.g., at least one event trigger vs. sustained usage over N sessions).