what are good cohorts to build for user insights like NURR / CURR?
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To gain user insights similar to NURR (New User Retention Rate) or CURR (Current User Retention Rate), you should build cohorts that segment users based on their lifecycle stage, behaviors, and engagement patterns. Here are some effective cohort types to consider: - Acquisition Cohorts: Group users by their signup date (e.g., users who signed up in the same week or month). This allows you to track how retention and engagement differ for users acquired at different times, which is essential for NURR analysis. - New Users: Users who signed up in the past 7 or 30 days. This cohort helps you analyze onboarding effectiveness and early retention. - Active/Current Users: Users who have performed a key action (e.g., logged in, made a purchase) within a recent time window (e.g., last 7 or 30 days). This is useful for CURR and ongoing engagement analysis. - Power Users: Users who have high engagement, such as those who used your app on 5 out of the last 7 days or made three or more purchases in the last week. - Dropped-Off or Inactive Users: Users who signed up but did not return after a certain period, or who haven’t used your app in the last 14 days. - Behavioral Cohorts: Users grouped by specific actions or feature usage (e.g., users who used feature X, or who completed onboarding). - Demographic or Technographic Cohorts: Users segmented by properties like location, device type, or app version, to see how retention and engagement vary across segments.Mixpanel allows you to define these cohorts visually and use them in retention, funnel, and engagement analyses. You can compare how different cohorts retain, engage, or convert over time, which is key for understanding NURR, CURR, and other user insights. For example, you might compare retention rates between new users and power users, or analyze how onboarding completion impacts long-term engagement Docs: Cohorts Ultimate guide to cohort analysis.These cohort types help you move beyond broad averages and uncover actionable insights about specific user groups, enabling more targeted product and marketing strategies.
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