How do I define an active user?

An active user is someone who used your product within the period you are measuring, often defined as a login or a meaningful action. Keep the definition consistent so your adoption rate stays comparable. Count unique users rather than sessions or events.

What is a good feature adoption rate?

There is no universal benchmark because it depends on the feature and how core it is to your product. A niche feature may have low adoption yet still be valuable to a key segment. Focus on the trend and on adoption among the users the feature is meant for.

Why is my adoption rate low?

Low adoption often comes from poor discoverability, weak perceived value, or a mismatch with what users need. Improve in product prompts, onboarding and positioning, then measure again. If it stays low for the target audience, consider repositioning or removing the feature.

Feature Adoption Rate Calculator

Feature adoption rate measures the share of your active users who actually use a particular feature, which tells you whether the things you build are getting used and valued. This calculator takes the number of users who used a feature and the total number of active users and returns the adoption rate as a percentage. You enter the feature users for a period and the active users over the same window, and the tool shows the result instantly. Product managers, growth teams and customer success staff across New Zealand SaaS businesses use this to judge whether a new release landed, to prioritise where to invest, and to decide whether a low performing feature needs better onboarding, repositioning, or removal. A high adoption rate suggests the feature solves a real need and is easy to discover, while a low rate can point to poor discoverability, weak value, or a mismatch with what users actually want. To keep the figure honest, define active users consistently, for example users who logged in during the period, count unique users rather than events so heavy users do not skew the result, and use a steady time window so you can compare across releases. It also helps to track adoption over time after launch, since adoption usually climbs as users discover a feature, and to segment by plan or persona to see who values it most. Pair this with stickiness and retention metrics to understand whether adopted features keep people coming back. The calculation runs entirely in your browser, so you can test different user counts quickly and set realistic adoption targets for upcoming releases.

Users using the feature

Total active users

40.0%

Feature adoption rate

Feature users640

Adoption rate = feature users / total active users. Estimate only, not financial or tax advice.

How it works

The feature adoption rate is the number of users using the feature divided by the total active users, shown as a percentage. The feature users count is the figure you entered. A higher rate means more of your active users have adopted the feature.

Worked example

With 640 users using the feature and 1,600 active users, the adoption rate is 640 divided by 1,600, which is 40.0 percent.

Related calculators

DAU/MAU Ratio Calculator: product stickiness.
Product Stickiness Calculator: stickiness ratio.
Time to Value Calculator: average time to value.
Customer Engagement Score Calculator: engagement score.

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