{"id":112823,"date":"2024-03-28T04:12:32","date_gmt":"2024-03-28T04:12:32","guid":{"rendered":"https:\/\/userpilot.com\/blog\/feature-adoption\/"},"modified":"2026-04-07T13:41:11","modified_gmt":"2026-04-07T13:41:11","slug":"feature-adoption","status":"publish","type":"post","link":"https:\/\/userpilot.com\/blog\/feature-adoption\/","title":{"rendered":"Feature Adoption 101: Definition, Metrics, Best Practices, and Tools"},"content":{"rendered":"

What is feature adoption?<\/strong><\/h2>\n

We talk about feature adoption when<\/a> users start using a feature, either existing or new, regularly to solve their problems<\/a>.<\/p>\n

For adoption to happen, users need to discover the feature and understand how it can help them achieve their goals<\/a>. They also need to experience its value <\/a>and make it their go-to solution to a problem.<\/p>\n

How is feature adoption different from feature discovery and product adoption?<\/strong><\/h2>\n

Feature discovery<\/a> is when users learn about the feature and its functionality, so it\u2019s part of the feature adoption process.<\/a> Before users adopt a feature, they first need to find out about its existence.<\/p>\n

Product adoption<\/a> is a wider process. It goes beyond the adoption of individual features and involves users adopting the product as a whole, with all its existing features and the user experience<\/a> it offers.<\/p>\n

Why does feature adoption matter?<\/strong><\/h2>\n

To start with, new features add value to the product<\/a>. This could be by adding completely new functionality, addressing user pain points,<\/a> or improving their experience. This could increase user satisfaction<\/a>, and boost loyalty and long-term retention<\/a>.<\/p>\n

What\u2019s more, feature adoption<\/a> allows companies to realize their business goals and generate more revenue. Higher feature adoption rates and the associated user satisfaction normally translate into higher customer lifetime value.<\/a><\/p>\n

That\u2019s because users who adopt more features and regularly experience their value are usually more open to exploring the premium ones also. And this means additional revenue from upgrades<\/a>.<\/p>\n

The four stages of the feature adoption funnel<\/strong><\/h2>\n

The feature adoption funnel<\/a> consists of 4 main stages.<\/p>\n

    \n
  1. Exposed: <\/strong>when users find out that a feature exists.<\/li>\n
  2. Activated: <\/strong>when users experience the Aha! moment<\/a> and understand the feature value.<\/li>\n
  3. Used: <\/strong>when users engage with the feature<\/a> for the first time \u2013 once.<\/li>\n
  4. Used again: <\/strong>when users return to the feature and start using it regularly.<\/li>\n<\/ol>\n

    How to calculate feature adoption rates?<\/strong><\/h2>\n

    To calculate the feature adoption rate, divide the number of the feature monthly active users (MAUs) by the number of user logins in a period of time, and multiply it by 100.<\/p>\n

    So if there were 77 feature MAUs<\/a> out of 1237 users, the feature adoption rate would be 6.22% ((77\/1237)*100=6.22%).<\/p>\n

    \"Feature
    Feature adoption rate formula.<\/figcaption><\/figure>\n

    What is a good feature adoption rate?<\/strong><\/h2>\n

    There is no simple answer to this question because the adoption rate<\/a> depends on the industry, product, and kind of business.<\/p>\n

    Industry benchmarks can give you an indication of how you stack against others but may not always be relevant to your unique circumstances.<\/p>\n

    It makes way more sense to take your current feature adoption rate as a baseline and use it to set future goals<\/a>.<\/p>\n

    Key feature adoption metrics to track<\/strong><\/h2>\n

    Which metrics <\/a>should you track apart from the adoption rate? Here are a few:<\/p>\n