Understanding Feature Adoption Rates Among Users

To see the percentage of users who have adopted a feature versus those who haven't in Mixpanel, you can use the Impact report. Here's how you can do this:1. Access the Impact report by going to the Applications section in the top right of the top navigation, then selecting "Impact".2. Select your launch event (the feature you want to measure adoption for) and set the start date for the launch.3. Choose your metric event(s) to measure the impact of the feature.4. In the results, you'll see an Adoption section that shows the percentage of users who have adopted the feature (performed the launch event) versus those who haven't.The Adoption Rate is calculated as:LBKS% adoption = average((adopters) / (adopters + non adopters))%LBKSThis formula shows the percentage of users who have performed the launch event out of the total user count.For more detailed information on how to set up and interpret the Impact report, you can refer to the Mixpanel Impact documentation.Additionally, if you want to dive deeper into feature adoption metrics, you can use other Mixpanel reports like Insights or Funnels to create custom queries that compare users who have performed your feature event versus those who haven't.Mixpanel's blog on measuring feature adoption provides more context on different ways to measure and analyze feature adoption, which can help you get a comprehensive view of how your feature is being used across your user base.

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To answer your question about examples of launch events and impacted events in Mixpanel's Impact report, let me provide you with a real-world example from Mixpanel itself:Mixpanel launched a feature called "Lookup Tables" and used the Impact report to measure its effectiveness. Here's how we can break this down:1. Launch Event: In this case, the launch event would be the first use of the "Lookup Tables" feature. This event captures when a user starts using the new feature.2. Impacted Event: The impacted event would be a key metric that Mixpanel wanted to improve with the introduction of Lookup Tables. While the exact metric isn't specified, it could be something like "Data Analysis Completed" or "Report Generated," which would indicate that users are getting value from the new feature.This example comes from Mixpanel's blog post on choosing metrics for product launches, where they discuss how they measured the impact of the Lookup Tables feature.In a more general sense, here are some other examples:- Launch Event: "Feature X Activated" or "New UI Interaction" - Impacted Event: "Purchase Completed", "Subscription Renewed", or "Content Shared"The launch event represents the adoption of your new feature, while the impacted event is a key metric you expect to be influenced by the new feature.Remember, when setting up an Impact report, you'll select these events as described in the Mixpanel Impact documentation:1. Select a launch event (Step 1) 2. Select metric events (impacted events) (Step 2)This setup allows you to measure how the introduction of your new feature (launch event) affects important metrics in your product (impacted events).

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