HI, I wanted to check if we can get the same set of user visiting the application next month for MoM. Ex - If MAU for Jan 2025 500k and out of those 500k, 250k came back next month (Feb 2025) and other 250k were different set of people
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Yes, Mixpanel allows you to analyze how many users from one month's MAU return in the following month, which is essentially a Month-over-Month (MoM) retention or returning user analysis.To do this, you would use Mixpanel's Retention report. Here’s how you can approach it: 1. Define the "birth" cohort as users who were active (performed your chosen "active" event) in January 2025. 2. Set the retention event as the same "active" event in February 2025. 3. The Retention report will show you how many users from the January cohort returned and were active in February. This directly answers your question: out of the 500k MAU in January, how many came back in February (e.g., 250k), and by implication, how many did not (the other 250k).Mixpanel’s retention analysis is designed for exactly this type of cohort-based returning user measurement. You can also use custom retention brackets or calendar retention mode to align your analysis with calendar months, making it easy to compare user return rates across months. This helps you see not just the overlap, but also the churn and acquisition of new users month-over-month Docs: Retention, Custom Retention Brackets, Calendar Retention Mode.If you want to see the exact set of users who returned, you can save the January cohort and then create a cohort of users who were active in both January and February using cohort logic. This allows for further analysis or exporting the user lists if needed Define User Cohorts, Using Cohorts in Analysis.In summary: - Yes, you can measure and compare the overlap of MAU between months in Mixpanel. - Use the Retention report and/or cohorts to get the exact numbers and user lists.
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I wanted to check if we can get the number of user visiting the application skipping next month . Ex - If MAU for Jan 2025 is 500k and out of those 500k, 150k did not come back next month (Feb 2025) and came back later in the year
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Yes, you can analyze this scenario in Mixpanel using a combination of retention criteria and cohorts.To find users who were active in January 2025, skipped February 2025, and then returned later in the year, you can use the following approach: 1. Create a cohort of users who were active in January 2025. 2. Exclude users who were active in February 2025 from this cohort. 3. Filter for users from this group who became active again in any month after February 2025.Mixpanel’s cohort builder allows you to define such logic using AND/OR operators. For example, you can define a cohort as: - Users who did the "active" event in January 2025 - AND did NOT do the "active" event in February 2025 - AND did the "active" event after February 2025This approach leverages Mixpanel’s ability to chain cohort conditions and use event-based filters to identify users with specific activity patterns Creating Cohorts.While the standard Retention report focuses on consecutive return intervals, using cohorts as described above allows you to answer your question about users who skip a month and return later. You can then view the size of this cohort or analyze their behavior further Using Cohorts in Analysis.If you need to export the list of these users, you can do so from the cohort view Define User Cohorts.Summary: Yes, Mixpanel supports this analysis through custom cohort definitions and filtering, allowing you to identify and quantify users who skip a month and return later.
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HI, I wanted to check if we can get the same set of user visiting the application next month for MoM for only new users. Ex - If new users created account in Jan 2025 is 500k and out of those 500k, 250k came back next month (Feb 2025)
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Yes, you can measure this in Mixpanel. To find out how many new users who signed up in January 2025 returned in February 2025, you would use the Retention report: 1. Define the "A" event as "Sign Up" (or your account creation event) and set the time window to January 2025. 2. Set the "B" event as any activity (or a specific event) in February 2025. 3. The Retention report will show you, out of the 500k new users in January, how many came back in February.This is a standard use case for Mixpanel’s retention analysis, which allows you to track how many users from a specific cohort (e.g., new signups in a given month) return in subsequent periods. You can use the default "On or After" retention criteria to see how many of those new users ever return in February or later, or "On" retention to see how many return exactly in February Retention: Measure engagement over time.You can also save this group as a cohort for further analysis or export Using Cohorts in Analysis.Summary: Mixpanel supports tracking the return rate of new users from one month to the next using the Retention report and cohorts.
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