Feature Adoption Rate Calculator

Compute feature adoption: what % of active users used a specific feature in a time window.

Feature adoption measures whether users are using a specific feature that drives value (and often retention).

Use adoption by cohort and persona to find where onboarding and product discovery are failing.

Prefer an explanation- Read the guide.
 
 
Set 0 to disable target calculation.
%
Tip: you can type commas (e.g., 10,000).

Example

Using the default inputs, the result is:
30%
Active users (window)
8,000
Users who used the feature
2,400
Target adoption (optional)
40%

How to calculate

  1. Define the feature event (what counts as 'used').
  2. Enter active users for the window and users who used the feature.
  3. Review adoption % and required users to hit a target adoption.

Formula

Feature adoption rate = users who used feature / active users
  • Active users and feature users are measured over the same window and same identity (user/account).
  • Feature usage threshold is meaningful (define it clearly).

FAQ

Should I measure adoption by user or account-
Use the unit that matches how value is realized. In B2B tools, account-level adoption can be more meaningful than user-level adoption for expansion and retention.
What's the difference between adoption and activation-
Activation is the first meaningful value moment early in the lifecycle. Adoption usually means ongoing usage of a feature over time (often after activation).

Common mistakes

  • Counting one-time clicks as adoption (use meaningful usage thresholds).
  • Using total users instead of active users as the denominator.
  • Comparing adoption across versions without aligning event tracking.

Quick checks

  • Keep time units consistent (monthly vs annual) across inputs and outputs.
  • Segment by cohort/channel/plan before trusting a blended average.
  • Use the related guide to avoid common definition and denominator mismatches.