how do it investigate top flow paths of users following certain steps

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To investigate the top flow paths of users following certain steps in Mixpanel, you should use the Flows report. Here’s how you can do it: 1. Choose Events (Anchor Steps): Start by selecting the key events (steps) you want to analyze in the user journey. For example, if you want to see what users do after signing up, add “Sign Up” as an anchor event.2. Adjust Steps Before/After: You can specify how many steps before or after your selected events you want to visualize. Use the “+” buttons in the Sankey visualization or adjust the number of steps in the query builder to see further along the user path, both before and after your anchor events.3. Apply Filters (Optional): If you want to focus on a specific segment (e.g., only iOS users), add filters such as “Platform equals iOS Native.”4. Visualize Top Paths: Switch to the “Top Paths” visualization. This condenses the flows into unique paths, showing the most common sequences users take after your selected steps. You’ll see the 50 most common event sequences up to the number of steps you selected. This is especially useful for understanding the most frequent user journeys, even if they are not identical in every detail.5. Expand by Property or Cohort (Optional): You can expand events by properties (e.g., city, purchase type) or break down flows by user cohorts to see how different segments behave.6. Analyze Results: The Sankey diagram will show you the most popular paths, with the height of each bar and connecting line representing the number of users. Hover over nodes to see details, such as the number and percentage of users who followed each path.References: - Docs: Flows Overview - Docs: Flows Basic Features - Docs: Flows Advanced - Top PathsThis approach will help you clearly identify and analyze the top flow paths users take after specific steps in your product.

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To see the top paths users follow after a specific sequence of steps (e.g., Home Tab Selected → Ticket Search → Outbound Journeys Viewed), you should use Mixpanel’s Flows report with multiple anchor steps. Here’s how you can do this: 1. Add Multiple Anchor Steps: In the Flows report, add your sequence of interest as anchor steps in the query builder: - Step A: Home Tab Selected - Step B: Ticket Search - Step C: Outbound Journeys Viewed2. View Events After These Steps: Use the “+” button on the right of the breakpoint line (≈) in the Sankey visualization to add steps after your last anchor event. This will show you what users do after completing exactly this sequence. The flow will display the most common next actions users take after “Outbound Journeys Viewed,” but only for users who have performed the previous steps in order.3. Adjust Number of Steps: You can increase the number of steps shown after your anchor sequence to see further along the user journey.4. Top Paths Visualization: Optionally, switch to the “Top Paths” view to condense the flows into unique paths, making it easier to see the most common sequences users take after your specified steps.This setup ensures you are analyzing what users do after exactly the sequence you care about, not just after any one of those events individually. For more details, see the documentation on Flows Basic Features and Top Paths.> “You can add multiple steps in the query builder. This allows you to examine flows between targeted events... The ‘+’ on the right of the breakpoint line (marked with ≈) will show you the events that happened right before the later anchored event.”

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Yes, you can investigate the number of clicks per page or item in Mixpanel using Autocapture or Heatmaps: 1. Using Autocapture: When Autocapture is enabled, Mixpanel automatically tracks element clicks on your website. Each click event includes properties such as the element’s attributes and the page URL. You can analyze these [Auto] Element Click events in Insights reports, breaking them down by properties like current_url_path (for page) or element attributes (for item) to see the number of clicks per page or per item. This allows you to quantify and compare click activity across different pages or elements on your site Autocapture Docs.2. Using Heatmaps: Mixpanel’s Heatmaps provide a visual way to see where users are clicking most on a page. Heatmaps aggregate click data (from Session Replay or Autocapture) and display hot spots for user interaction. You can use Heatmaps to quickly identify which items or areas on a page receive the most clicks, helping you understand engagement patterns Heatmaps Overview.How to do it: - Enable Autocapture or Session Replay with Heatmaps in your Mixpanel project. - In Insights, filter or break down [Auto] Element Click events by page or element property. - Or, open a Heatmap for a specific page to visually inspect click distribution.This approach gives you both quantitative (number of clicks) and qualitative (visual patterns) insights into user interactions per page or item.

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To analyze user behavior specifically between each user's first install date and the end of their first week (not just the last 7 days overall), you should use Mixpanel’s cohort and date filtering features: 1. Create a Cohort for New Users: Define a cohort of users whose first install date falls within your period of interest. For example, users who installed the app in the last month. You can do this using the Cohort Builder by filtering users based on the first install date property Using Cohorts in Analysis.2. Analyze Events Relative to First Install Date: In your Insights or Funnels reports, filter or break down events by this cohort. However, to analyze behavior specifically in the first 7 days after each user's install, you need to set your event time window relative to each user's first install date, not a fixed calendar range. Mixpanel’s retention and cohort analysis tools are designed for this type of analysis. For example, you can: - Use the Retention report to see what actions users take in the days following their first install, with the time window starting from each user’s install date Retention: Measure engagement over time. - In the Retention report, set the “A” event as “App Installed” (or your equivalent), and the “B” event as the behavior you want to track. Set the retention window to “Each Day” for 7 days to see engagement during the first week after install.3. Avoiding General Last 7 Days: By using the retention report or cohort analysis as described, you are measuring user behavior in the first 7 days after their own install date, not just the last 7 days on the calendar. This gives you a true view of onboarding and early engagement.Summary: - Create a cohort based on first install date. - Use Retention or Insights reports, filtering by this cohort. - Set the time window to analyze the first 7 days after each user’s install.This approach ensures you are analyzing the onboarding period for each user, not just recent activity across all users Retention: Measure engagement over time | Cohorts: Group users by demographic and behavior.

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To set the time window to analyze the first 7 days after each user’s install in Mixpanel, you should use the Retention report with the appropriate configuration: 1. Open the Retention Report. 2. Set the "A" event to your install event (e.g., "App Installed" or use your first install date property). 3. Set the "B" event to the behavior you want to analyze (e.g., "App Opened", "Purchase", etc.). 4. Configure the retention window: - Set the time unit to "Day". - Set the number of intervals to 7. This will show you user behavior for each of the first 7 days after their install event, with the window starting from each user's own install date—not a fixed calendar range.This approach ensures you are analyzing user behavior in the first 7 days after their own install, not just the last 7 days overall. This is the intended use of the Retention report in Mixpanel, as it measures engagement over time relative to a starting event for each user Retention: Measure engagement over time.If you want to look at all activity (not just a specific event) in the first 7 days, you can use the "On or Before" retention criteria with a property sum or average, such as total revenue or total sessions in the first 7 days after install Retention Criteria.> "Retention analysis... calculates users who come back on a specific time unit (e.g. day, week, month) or any time unit afterwards. You can also switch the retention mode between the default rolling time window and calendar defined time window."

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