Creating a Cumulative Graph for User Repeat Events Analysis
I want to have a cumulative graph of users who performed an event for the first time and again performed the same event in the next week. What would be the right away to go about it?
I want to have a cumulative graph of users who performed an event for the first time and again performed the same event in the next week. What would be the right away to go about it?
Hi Akif A., 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> đ
Feel free to ask a follow-up question once I've answered by mentioning me with @kapa.ai
To create a cumulative graph of users who performed an event for the first time and then performed the same event again in the next week, you can use Mixpanel's Retention report with some specific settings. Here's how you can approach this: 1. Use the Retention report: The Retention report in Mixpanel is designed to measure user engagement over time, which aligns with your goal.2. Set up First Time Filter: Apply a First Time Filter to your event to focus on users performing the event for the first time. This feature is described in the Analyzing First Time Users section.3. Configure Retention Criteria: Set the retention criteria to look for the same event in the following week. You can use the calendar retention mode for this purpose, as explained in the Calendar Retention Mode section.4. Use Cumulative View: To get a cumulative graph, you'll want to use the cumulative view option in the Retention report.Here's a step-by-step approach: 1. Go to the Retention report in Mixpanel. 2. Select your event and apply a First Time Filter to it. 3. Set the return event as the same event (without the First Time Filter). 4. In the advanced settings, switch to Calendar Retention Mode and set the interval to weekly. 5. Set the view to Cumulative.This setup will show you a cumulative graph of users who performed the event for the first time and then performed it again in subsequent weeks. The first week after the initial event will represent those who came back within the next week.Remember that the exact steps might vary slightly depending on your Mixpanel version and interface, but this general approach should work for your use case.
kapa.ai is still learning and improving, please let me know how I did by reacting below.
âšī¸Â Tip: Mention @kapa.ai in the thread for follow-ups or DM the app for 1-to-1 help.
Let me check the knowledge base for you again. One moment! đ
You're absolutely correct, and I apologize for the confusion in my previous response. After carefully reviewing the knowledge sources, I can confirm that the Retention report in Mixpanel does not have a cumulative graph view. I made a mistake in suggesting that option.Instead, to achieve a cumulative view of users who performed an event for the first time and then again in subsequent weeks, you would need to use a different approach. Here's a more accurate suggestion based on the available information: 1. Use the Insights report: The Insights report in Mixpanel allows for more flexible analysis and visualization options.2. Set up your metric: Define your event as a metric in the Insights report.3. Apply First Time Filter: You can still apply a First Time Filter to your event to focus on users performing the event for the first time.4. Use Cumulative Analysis: In the Insights report, you can use the Cumulative analysis option. As described in the Analysis Settings section: "Cumulative: Adds up the values of each point on the graph as it goes along, so the height of the line will increase over time."This approach will give you a cumulative graph of users who performed the event for the first time. However, it won't directly show you who performed the same event again in the next week. To get that information, you might need to combine this analysis with data from the Retention report or create a more complex custom event.Thank you for pointing out the error in my previous response. It's important to provide accurate information, and I appreciate the opportunity to correct it.
kapa.ai is still learning and improving, please let me know how I did by reacting below.
âšī¸Â Tip: Mention @kapa.ai in the thread for follow-ups or DM the app for 1-to-1 help.