Building a Signal Report for User Retention Analysis

Juan I. · 2024-11-05 03:52:25.919148+00

If I want to use the signal report to understand which are the events that drive users from beginners to retained, how would you build that report?

Building a Signal Report for User Retention Analysis | Mixpanel Community

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kapa.ai
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Hi Juan I., Please stand by as I search the Mixpanel knowledge base for an AI-powered answer. I normally take about 15 seconds or so. In case AI cannot answer your question, feel free to reach out to Mixpanel support at mixpanel.com/get-support. If you have follow-up questions for this thread, please tag me again with your question: @kapa.ai <follow-up question> 👋
Feel free to ask a follow-up question once I've answered by mentioning me with @kapa.ai
kapa.ai
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To use the Signal report in Mixpanel to understand which events drive users from beginners to retained, you can follow these steps to build the report: 1. Enter the Signal report in your Mixpanel project.2. Define your target users. By default, it's set to "All users," but you can adjust this if needed.3. For the Goal Event, select one of the default retention events provided by Mixpanel. For example, you could choose "2nd week retention" or "2nd month retention" depending on your definition of a retained user.4. For the Correlation Event(s), you can add up to ten different events that you believe might be driving retention. These could be key actions that new users typically perform.5. Set an appropriate time frame for your query. Make sure it's long enough to allow users to complete both the correlation events and the goal event.6. Click "Correlate" to run the report.The Signal report will then quantify the correlation between your selected events and the retention goal, helping you identify which behaviors are most strongly associated with user retention.Mixpanel Signal Report provides more detailed information on building this type of report.Remember, correlation doesn't imply causation. After identifying strongly correlated events, it's recommended to: 1. Form hypotheses about why these events might be driving retention. 2. Test these hypotheses, ideally through well-designed A/B tests or using Mixpanel's Impact report.This approach aligns with the best practices for using product analytics to improve retention, as outlined in the Mixpanel blog on product analytics and retention.
kapa.ai is still learning and improving, please let me know how I did by reacting below.
ℹ️ Tip: Mention @kapa.ai in the thread for follow-ups or DM the app for 1-to-1 help.

kapa.ai
APP
·
·
Hi Juan I., Please stand by as I search the Mixpanel knowledge base for an AI-powered answer. I normally take about 15 seconds or so. In case AI cannot answer your question, feel free to reach out to Mixpanel support at mixpanel.com/get-support. If you have follow-up questions for this thread, please tag me again with your question: @kapa.ai <follow-up question> 👋
Feel free to ask a follow-up question once I've answered by mentioning me with @kapa.ai
kapa.ai
APP
·
·
To use the Signal report in Mixpanel to understand which events drive users from beginners to retained, you can follow these steps to build the report: 1. Enter the Signal report in your Mixpanel project.2. Define your target users. By default, it's set to "All users," but you can adjust this if needed.3. For the Goal Event, select one of the default retention events provided by Mixpanel. For example, you could choose "2nd week retention" or "2nd month retention" depending on your definition of a retained user.4. For the Correlation Event(s), you can add up to ten different events that you believe might be driving retention. These could be key actions that new users typically perform.5. Set an appropriate time frame for your query. Make sure it's long enough to allow users to complete both the correlation events and the goal event.6. Click "Correlate" to run the report.The Signal report will then quantify the correlation between your selected events and the retention goal, helping you identify which behaviors are most strongly associated with user retention.Mixpanel Signal Report provides more detailed information on building this type of report.Remember, correlation doesn't imply causation. After identifying strongly correlated events, it's recommended to: 1. Form hypotheses about why these events might be driving retention. 2. Test these hypotheses, ideally through well-designed A/B tests or using Mixpanel's Impact report.This approach aligns with the best practices for using product analytics to improve retention, as outlined in the Mixpanel blog on product analytics and retention.
kapa.ai is still learning and improving, please let me know how I did by reacting below.
ℹ️ Tip: Mention @kapa.ai in the thread for follow-ups or DM the app for 1-to-1 help.