Metrics like daily or monthly active users (DAU and MAU) get distorted by growth. If your app is snowballing, new customer signups will mask where existing users drop off. It doesn’t matter how productive your acquisition channels are if you lose current customers as fast as, or faster than, you gain new ones.
To gain more visibility, you can slice and dice cohorts based on users’ behaviors, user properties, and their new user status.
To start, define what 'actively engaged' means for your business. Then, create a cohort that includes users who meet your definition (i.e., set filters based on how frequently they have used your product in the last 30 days.) Once you create a cohort, you can plug them into any chart in Amplitude to improve your analysis. Analyze the cohort to understand their behavior patterns. (i.e., looking at retention rates, engagement metrics, or feature usage over time.)
Compare the behaviors of your “actively engaged” cohort with other user cohorts to understand differences. You can even send specific cohorts to downstream destinations like Braze or Iterable to retarget them for messaging optimized for user engagement and retention.
As you get started, there are a few ways to create a cohort: Video Walkthrough: Behavioral Cohorts
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Define a new cohort by setting user property clauses and group-level cohorts
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Create a cohort via microscope
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Import a cohort from a file
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Create inline behavioral cohorts and interval cohorts
To learn more about creating cohorts:
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Explore our Academy Course: Use Behavioral Cohorts to Analyze Specific User Groups
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Explore resources on the blog:
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Familiarize yourself with our Help Center:
Comment with questions here, and keep us posted on you use of behavioral cohorts!
