Measuring Time Until an Event Occurs Multiple Times

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To measure the time taken until a specific event occurs a certain number of times in Mixpanel, you can use the Funnels report with the Time to Convert feature. Here's how you can do it: 1. Create a funnel with the specific event you want to measure. 2. Use the "Nth Time" feature in the First Time Filter to specify how many times the event should occur. 3. Utilize the Time to Convert measurement to see how quickly users complete the funnel.Here's a more detailed breakdown: 1. In the Funnels report, set up your funnel with the event you're interested in.2. Apply the First Time Filter to your event and use the "Nth Time" option. This allows you to analyze the Nth occurrence of an event. For example, you can set it to measure the 3rd time an event occurs: "You can analyze the Nth time an event was performed by using a First Time Filter in funnels. For example, this shows you the number of users that do Tutorial Complete 3 times:" Analyzing First Time Users3. Use the Time to Convert measurement to see how long it takes users to complete this funnel: "You can select a Time to Convert aggregation to see how quickly or slowly your funnel converts. You can see this as a summarized value by selecting "Metric" or "Bar" visualizations, or you can see it as a trend using the "Line" visualization." Time to Convert4. You can further break down the Time to Convert to see a distribution of how long users took: "Use the Time to Convert breakdown to see a distribution of time users took between any two steps in the funnel or all steps." Time to ConvertBy combining these features, you can measure how long it takes for a specific event to occur a certain number of times. The funnel will show you the conversion rate, while the Time to Convert measurement will give you insights into the duration it takes for users to reach that Nth occurrence of the event.

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Certainly! Mixpanel provides a way to measure conversion rates from the first visit to a specific event across different platforms like your app and web platform. You can use Mixpanel's Funnels report to accomplish this. Here's how you can set it up: 1. Create a funnel with two steps: - First step: The initial visit event (this could be different for app and web) - Second step: The specific event you want to measure conversion to2. Use the "First Time" filter to ensure you're capturing the first visit for each user.3. Utilize Mixpanel's cross-platform tracking capabilities to combine data from both your app and web platform.Here's a more detailed guide: 1. Set up cross-platform tracking: Mixpanel recommends sending data from all platforms (app and web) to a single project for better cross-platform analysis. This allows you to track users across platforms without counting them as different users on each platform. Best Practices for Cross-Platform Tracking2. Create your funnel: In the Funnels report, add your first visit events (e.g., "App Open" for mobile and "Page View" for web) as the first step. Then add your specific conversion event as the second step.3. Apply the "First Time" filter: Use the "First Time" filter on your first step to ensure you're only capturing each user's first visit. Analyzing First Time Users4. Measure conversion rate: By default, Mixpanel will show you the conversion rate between these steps, which represents the percentage of users who performed your specific event after their first visit.5. Break down by platform: To see how conversion rates differ between your app and web platform, you can add a breakdown by the "Platform" or "OS" property: "If you send events from all platforms to one project, you can still differentiate actions taken on your app vs. website via segmentation and filtering using the Operating System property" Best Practices for Cross-Platform Tracking6. Analyze results: The resulting funnel will show you the conversion rate from first visit to your specific event, broken down by platform if you added that breakdown.By following these steps, you'll be able to measure the conversion rate from the first visit to a specific event across both your app and web platform, giving you insights into how users are converting regardless of their initial landing point.

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This is an interesting question about discrepancies in conversion rates when using different methods in Mixpanel. Let's explore why this might be happening based on the information provided in the knowledge sources.The main reason for the discrepancy you're seeing is likely due to the fundamental differences in how cohorts and funnels are computed and how they handle time in Mixpanel.1. Funnel with breakdown method: When you use a breakdown in a funnel to categorize users based on their event count, the funnel is looking at the entire measurement period as a whole. It's counting how many times each user performed event A during that period and then categorizing them accordingly.2. Cohort method: Cohorts in Mixpanel are computed dynamically at the time of the query. As explained in the Cohorts documentation: "Cohorts are computed dynamically at the time that you use them in a query. [...] it means that the set of users who are in the cohort are users that are in the cohort as of right now; it's not a rolling window of users that have ever been in the cohort."This means that when you apply the cohort to your funnel, you're looking at users who meet the cohort criteria (4 or more event A) as of the end of your measurement period. This can lead to different results compared to the breakdown method.Additionally, the Funnels documentation provides insight into how funnels and other reports might differ: "Funnels and Insights are fundamentally different when it comes to counting events. In the Funnels report, users will need to perform Step 1 event, in order for their Step 2 event to be counted. Insights, on the other hand, will count the Step 2 event, even if the user does not perform the Step 1 event."This difference in event counting could also contribute to the discrepancy you're seeing.To get a more accurate comparison, you might consider: 1. Using the "Holding property constant" feature in your funnel, as described in the Funnels documentation. This allows you to ensure that the same property value is maintained throughout the funnel steps.2. Adjusting your cohort definition to more closely match the funnel's behavior, perhaps by defining it based on user behavior up to the start of your measurement period rather than including the entire period.Remember, as stated in the Debugging documentation, "Two systems will always track data differently due to their nature. It might very likely be that the systems will never track exactly the same data."If you need further clarification or assistance, you might want to reach out to Mixpanel's support team for a more detailed analysis of your specific case.

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To answer your question about query execution order in Mixpanel, let's look at how cohorts are computed and used in funnel analyses.According to the Cohorts documentation: "Cohorts are computed dynamically at the time that you use them in a query. Suppose you make a funnels report that filters down to the New Users cohort. Under the hood, Mixpanel does the following: 1. Run a query to compute the set of users who are in the cohort as of right now (the time that the query is run). 2. Run a query to compute the set of users who converted in the funnel, filtering down to the list produced in Step 1."This means that when you add a cohort as a filter or use it in a breakdown for an A→B funnel analysis, Mixpanel first computes the cohort and then applies it to the funnel results. The cohort is not run again on the results of the A→B funnel, but rather it's used to filter or segment the funnel results.It's important to note that: 1. The cohort is computed based on the current state of your data at the time of the query. 2. The funnel analysis is then performed, but only considering the users who are part of the computed cohort.This approach ensures that the cohort definition is consistently applied across your analysis, whether you're using it as a filter or in a breakdown. It also means that the cohort computation is done once per query, not multiple times or after the funnel analysis.Remember that cohorts in Mixpanel represent the current state, not a historical view. As the documentation states: "it means that the set of users who are in the cohort are users that are in the cohort as of right now; it's not a rolling window of users that have ever been in the cohort."This execution order and methodology help ensure consistency in your analyses while also providing flexibility in how you can use cohorts to segment your data.[Learn to Use Mixpanel]: Breakdowns vs. Filters](https://www.youtube.com/watch?v=lOdSRETdL-g)

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To answer your question about measuring the time it takes for users to complete a specific funnel pattern in Mixpanel, we can use a combination of features within the Funnels report. Here's how you can approach this: 1. Set up your funnel: Create a funnel with the steps A → B1 → B2 → B3 → C.2. Use the "Nth Time" feature: Apply the "Nth Time" filter to the B3 event to ensure you're capturing users who have performed the B events three times. This is part of the First Time Filter in Mixpanel funnels. Analyzing First Time Users explains: "You can analyze the Nth time an event was performed by using a First Time Filter in funnels. For example, this shows you the number of users that do Tutorial Complete 3 times:"3. Measure Time to Convert: Use the Time to Convert feature to measure the time between A and B3. According to the Time to Convert documentation: "You can select a Time to Convert aggregation to see how quickly or slowly your funnel converts. You can see this as a summarized value by selecting "Metric" or "Bar" visualizations, or you can see it as a trend using the "Line" visualization."4. Use Step Selection: To focus on the time between A and B3 (before reaching C), use the Step Selection feature. The Measurements documentation states: "You can select which step of the funnel you would like to measure. By default this is set to All Steps. To change your step selection, press "All Steps" and choose the desired range."5. Apply an Exclusion Step: To ensure you're only considering the time before users reach C, you can use an exclusion step to exclude users who reached C before completing B3 three times. The Exclusion Steps documentation explains: "Exclusion steps operate as a "did not do" filter for funnels. This provides the ability to create a funnel where, for example, you look for users that did event A, then event B, did not do event C, but then continue to do D."By combining these features, you should be able to measure the time it takes for users to go from A to B3 (third occurrence) before reaching C, only considering the time before they reached C.Remember that Mixpanel's funnel analysis is flexible, but complex patterns might require careful setup and interpretation. If you encounter any difficulties or need further clarification, it might be helpful to consult with Mixpanel's support team for guidance specific to your use case.

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Your approach to measuring the conversion time from A to B1 to B2 before reaching C is generally on the right track, but there are a few considerations and potential improvements we can make. Let's break it down: 1. Setting up the funnel A → B1 → B2 is correct.2. Adding C as an Exclusion Step is a good approach. This will ensure that you're only considering users who haven't reached C yet. According to the Exclusion Steps documentation: "Exclusion steps operate as a 'did not do' filter for funnels. This provides the ability to create a funnel where, for example, you look for users that did event A, then event B, did not do event C, but then continue to do D."3. Applying a Breakdown with a cohort of users who reached C within the same measurement period is an interesting approach, but it might not give you the exact results you're looking for. Here's why: - Cohorts in Mixpanel are computed dynamically at the time of the query, as stated in the Cohorts documentation: "Cohorts are computed dynamically at the time that you use them in a query. [...] it means that the set of users who are in the cohort are users that are in the cohort as of right now; it's not a rolling window of users that have ever been in the cohort." - This means that your cohort will include all users who reached C by the end of your measurement period, which might not accurately represent the conversion time for users who completed A → B1 → B2 before reaching C.Instead of using a cohort breakdown, you might want to consider the following approach: 1. Keep your funnel as A → B1 → B2 → C. 2. Use the Time to Convert feature to measure the time between A and B2. 3. Use Step Selection to focus on the conversion from A to B2.As explained in the Time to Convert documentation: "You can select a Time to Convert aggregation to see how quickly or slowly your funnel converts. You can see this as a summarized value by selecting "Metric" or "Bar" visualizations, or you can see it as a trend using the "Line" visualization."This approach will give you the conversion time for users who completed the entire funnel (including reaching C), but you'll be measuring the time it took them to go from A to B2.If you specifically want to exclude users who reached C before completing B2, you can still use the Exclusion Step for C between B1 and B2.Remember, the exact setup might depend on the specific insights you're trying to gain. If you need further clarification or have more specific requirements, you might want to consult with Mixpanel's support team for tailored advice.Funnels: Measure conversions through a series of events

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Your approach is close, but it needs some adjustments to accurately measure the conversion time from A to B1 to B2 for users who reached C. Let's review and correct your setup: 1. Setting up the funnel A → B1 → B2 is correct as a starting point.2. Adding C as an Exclusion Step is not correct for your goal. Exclusion steps are used to filter out users who performed a certain action, which is not what you want here. As per the Exclusion Steps documentation: "Exclusion steps operate as a "did not do" filter for funnels. This provides the ability to create a funnel where, for example, you look for users that did event A, then event B, did not do event C, but then continue to do D."3. Applying a Breakdown with a cohort of users who reached C is on the right track, but there's a more direct way to achieve your goal.Here's a corrected approach: 1. Set up the funnel: A → B1 → B2 → C Include C as the final step in your funnel.2. Use the Time to Convert feature to measure the conversion time from A to B2.3. Use Step Selection to focus on the conversion from A to B2.The Time to Convert documentation states: "You can select a Time to Convert aggregation to see how quickly or slowly your funnel converts. You can see this as a summarized value by selecting "Metric" or "Bar" visualizations, or you can see it as a trend using the "Line" visualization."And for Step Selection, the Measurements documentation explains: "You can select which step of the funnel you would like to measure. By default this is set to All Steps. To change your step selection, press "All Steps" and choose the desired range."This setup will give you the conversion time from A to B2 for users who ultimately reached C, which is what you're looking for. By including C in the funnel and using Step Selection, you ensure that you're only considering users who completed the entire funnel (i.e., reached C), while measuring the time it took them to go from A to B2.Remember, Mixpanel's funnel analysis can be complex for specific use cases. If you need further clarification or have more specific requirements, it might be helpful to consult with Mixpanel's support team for guidance tailored to your exact needs.

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To select only A → B1 → B2 in your funnel using the Step Selection feature in Mixpanel, you can follow these steps: 1. Set up your funnel with all the steps: A → B1 → B2 → C.2. Use the Step Selection feature to focus on the steps you want to measure (A, B1, and B2).According to the Measurements documentation: "You can select which step of the funnel you would like to measure. By default this is set to All Steps. To change your step selection, press "All Steps" and choose the desired range."Here's how to do it: 1. In your Funnels report, look for the "Step Selection" option. It's typically located near the bottom of the query builder or in the "Advanced" settings.2. Click on the "All Steps" dropdown (or similar wording).3. In the dropdown, you should see options to select specific steps or ranges. Choose the range that includes steps A, B1, and B2. This might be labeled as "Steps 1-3" or you might need to manually select the first three steps.By doing this, you're telling Mixpanel to only consider the conversion and metrics for the first three steps of your funnel (A → B1 → B2), even though C is part of the full funnel definition.This approach allows you to focus on the specific part of the funnel you're interested in while still maintaining the full funnel structure. It's particularly useful when you want to analyze a subset of steps within a longer funnel.Remember, the exact UI and options might vary slightly depending on your Mixpanel version, but the general principle remains the same.Funnels: Measure conversions through a series of eventsIf you need more specific guidance or encounter any issues, don't hesitate to reach out to Mixpanel's support team for assistance tailored to your exact setup.

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I apologize for the confusion in my previous answer. You're right that the Step Selection feature doesn't allow you to set it to only include steps up to B2 while still considering users who reached C. Let me provide a more accurate approach to achieve your goal.To measure the conversion time from A to B1 to B2 for users who reached C, you can use a combination of features in Mixpanel's Funnel report. Here's the correct approach: 1. Set up your funnel as A → B1 → B2 → C.2. Use the Time to Convert feature to measure the conversion time.3. In the Time to Convert settings, you can specify the step range you want to measure.According to the Time to Convert documentation: "You can select a Time to Convert aggregation to see how quickly or slowly your funnel converts. You can see this as a summarized value by selecting "Metric" or "Bar" visualizations, or you can see it as a trend using the "Line" visualization."Furthermore, the documentation states: "Use the Time to Convert breakdown to see a distribution of time users took between any two steps in the funnel or all steps. The steps selected in the breakdown are independent of the step of the metric you are measuring, for example you can measure overall conversion rate broken down by Time to Convert between Steps 1 and 2."This means you can: 1. Keep your full funnel (A → B1 → B2 → C) to ensure you're only considering users who reached C. 2. Use the Time to Convert feature and specify that you want to measure the time between A and B2 (Steps 1 to 3).This approach will give you the conversion time from A to B2 for users who completed the entire funnel (i.e., reached C), which is what you're looking for.If you need further assistance or clarification, I recommend reaching out to Mixpanel's support team for guidance specific to your Mixpanel version and setup.Funnels: Measure conversions through a series of events

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I apologize for the confusion and incorrect information in my previous responses. You're right to point out these inaccuracies, and I appreciate your patience. Let me provide you with the correct information based on the available knowledge sources.To measure the conversion time from A to B1 to B2 for users who reached C in your funnel A → B1 → B2 → C, here's the most accurate approach based on Mixpanel's documentation: 1. Set up your funnel as A → B1 → B2 → C.2. Use the Time to Convert feature to measure the conversion time.According to the Time to Convert documentation: "You can select a Time to Convert aggregation to see how quickly or slowly your funnel converts. You can see this as a summarized value by selecting "Metric" or "Bar" visualizations, or you can see it as a trend using the "Line" visualization."However, you're correct that there isn't a direct way to select only up to B2 while still considering users who reached C. The Time to Convert feature doesn't allow for such specific step selection either.Given these limitations, the best approach would be: 1. Keep your full funnel (A → B1 → B2 → C) to ensure you're only considering users who reached C. 2. Use the Time to Convert feature to measure the overall conversion time. 3. In your analysis, focus on the time between A and B2, understanding that this includes only users who eventually reached C.This method isn't perfect, as it doesn't allow you to isolate exactly what you're looking for within the Mixpanel interface. However, it's the closest approximation given the current limitations of the tool.If this doesn't meet your specific needs, you might need to consider exporting the data and performing additional analysis outside of Mixpanel, or reaching out to Mixpanel's support team for more advanced options or custom solutions.I apologize again for any confusion caused by my previous responses. Thank you for bringing this to my attention, as it helps improve the accuracy of the information provided.

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Thank you for providing that clarification and pointing out the previous inaccuracies. I apologize for the confusion caused earlier. Let's review your current setup: 1. Setting up the funnel A → B1 → B2 → C is correct.2. Setting C as an Exclude Step and selecting All Steps is not correct for your goal. According to the Exclusion Steps documentation: "Exclusion steps operate as a "did not do" filter for funnels. This provides the ability to create a funnel where, for example, you look for users that did event A, then event B, did not do event C, but then continue to do D." By excluding C, you're actually filtering out the users who reached C, which is the opposite of what you want.3. Applying a Breakdown with a cohort of users who reached C within the same measurement period is a good approach. This will help you focus on the users who eventually reached C.Given the limitations you've mentioned with Step Selection and Time to Convert, here's a corrected approach: 1. Set up the funnel: A → B1 → B2 → C2. Do not use an Exclude Step for C.3. Apply a Breakdown with a cohort of users who reached C within the same measurement period as the funnel.4. Use the Time to Convert feature to measure the overall conversion time for the entire funnel.This setup will show you the conversion times for users who completed the entire funnel (i.e., reached C). While it doesn't allow you to isolate the time specifically from A to B2, it gives you the best approximation within Mixpanel's current capabilities.To focus on the time between A and B2, you'll need to interpret the results carefully, understanding that the times shown include only users who eventually reached C.If you need more precise measurements or the ability to isolate specific step ranges, you might need to consider exporting the data for further analysis outside of Mixpanel or contacting Mixpanel's support for potential custom solutions.Funnels: Measure conversions through a series of eventsI apologize again for any previous misinformation. Thank you for your patience and for helping to ensure accurate information is provided.

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Thank you for providing your setup and for pointing out the previous inaccuracies. I apologize for any confusion caused earlier. Let's review your current setup: 1. Setting up the funnel A → B1 → B2 is not ideal for your goal. You should include C in the funnel.2. Setting C as an Exclude Step is not correct for your goal. According to the Exclusion Steps documentation: "Exclusion steps operate as a "did not do" filter for funnels. This provides the ability to create a funnel where, for example, you look for users that did event A, then event B, did not do event C, but then continue to do D." By excluding C, you're actually filtering out the users who reached C, which is the opposite of what you want.3. Applying a Breakdown with a cohort of users who reached C within the same measurement period is a good approach. This will help you focus on the users who eventually reached C.Given the limitations you've mentioned with Step Selection and Time to Convert, here's a corrected approach: 1. Set up the funnel: A → B1 → B2 → C Include C as the final step in your funnel.2. Do not use an Exclude Step for C.3. Apply a Breakdown with a cohort of users who reached C within the same measurement period as the funnel.4. Use the Time to Convert feature to measure the overall conversion time for the entire funnel.According to the Time to Convert documentation: "You can select a Time to Convert aggregation to see how quickly or slowly your funnel converts. You can see this as a summarized value by selecting "Metric" or "Bar" visualizations, or you can see it as a trend using the "Line" visualization."This setup will show you the conversion times for users who completed the entire funnel (i.e., reached C). While it doesn't allow you to isolate the time specifically from A to B2, it gives you the best approximation within Mixpanel's current capabilities.To focus on the time between A and B2, you'll need to interpret the results carefully, understanding that the times shown include only users who eventually reached C.If you need more precise measurements or the ability to isolate specific step ranges, you might need to consider exporting the data for further analysis outside of Mixpanel or contacting Mixpanel's support for potential custom solutions.I apologize again for any previous misinformation. Thank you for your patience and for helping to ensure accurate information is provided.Funnels: Measure conversions through a series of events

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