I want to know how an event (Launch event) that was recorded for the first time the 13 th of Feb impacted another event Called activation event. The launch event is part of the onboarding, part of an empty state of the product so It only affects those new users. How should I configure the impact report for this escenario ?
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To configure the Impact report for your scenario, where you want to measure how a launch event (recorded for the first time on February 13th) impacted an activation event, especially for new users, you should follow these steps: 1. Select the launch event: Choose your launch event (the one recorded on February 13th) as the "launch event" in the Impact report. Set the start date to February 13th.2. Select the metric event: Add your "activation event" as the impacted event. This is the event you want to measure the impact on.3. Filter for new users: Since your launch event is part of the onboarding and only affects new users, you should add a filter to focus on new users. You can do this by using the "First Time" filter on a relevant event, such as a sign-up event or the first occurrence of any event for a user.4. Set the time range: Select an appropriate time range around your launch date. The default is "15 days before and after", which would cover the period from January 29th to February 28th. You can adjust this as needed.5. User definition: Under "USER DEFINITION", you might want to select "only the impacted event" to focus specifically on how the launch event affected the activation event.For a more detailed guide on configuring the Impact report, you can refer to the Impact: Measure the effect of a launch on your KPIs documentation.Additionally, to ensure you're analyzing first-time users correctly, you might find the information in Analyzing First Time Users helpful. This feature allows you to filter events to only the first time they're performed by a user, which aligns with your scenario of focusing on new users in the onboarding process.Remember that the Impact report calculates the user adoption of the launch, the impact of the launch on your activation event, and the differences between users that adopt the launch and those that do not. This should give you insights into how your new onboarding feature is affecting user activation.
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To define the filter for new users in your example, you should use February 13th as the date to determine the first event. This is because you mentioned that the launch event was recorded for the first time on February 13th, and it's part of the onboarding process for new users.When configuring the Impact report, you can use the First Time filter to focus on new users. Here's how you can set it up: 1. In the Impact report, when selecting your launch event, click on the "..." dropdown next to the event. 2. Choose "Add filter" from the dropdown menu. 3. Select the "First Time" filter. 4. Set the date to February 13th.This approach is supported by the information in Analyzing First Time Users, which states: "You can do this by adding a First Time Filter to any event in Mixpanel. This filters the event down to only the first instance of the event performed by a user."By setting the First Time filter to February 13th, you ensure that you're only including users who first experienced the launch event (which is part of your onboarding) on or after that date. This will effectively filter for new users who went through the new onboarding process, allowing you to accurately measure the impact of the launch event on the activation event for these new users.Remember, Mixpanel computes this on-the-fly by scanning each user's history to determine if this was the first instance of the event performed by the user, based on the timestamp you set.
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I apologize for the confusion in my previous response. You're correct that the Impact report doesn't have a direct "First Time" filter option like some other Mixpanel reports. Let me clarify how you can focus on new users in the Impact report based on the available information: 1. In the Impact report, you don't have a specific "First Time" filter. Instead, you'll need to use the available filtering options to focus on new users.2. When selecting your launch event (the one that started on February 13th), you can add a filter to this event to focus on new users. Here's how you might do it: - Click on the "..." next to your launch event - Select "Add filter" - Choose a user property that indicates a new user, such as "Sign Up Date" or "First Seen" - Set this property to be greater than or equal to February 13th3. If you don't have a specific user property for new users, you might need to create a cohort of new users first and then use that cohort in your Impact report.According to the Impact: Measure the effect of a launch on your KPIs documentation, you can add filters to narrow the launch event parameters: "Add any additional filters to narrow the launch event parameters by clicking the … dropdown and selecting the Add filter."I apologize again for the incorrect information about the "First Time" filter in the Impact report. The Impact report has a different set of options compared to other Mixpanel reports, and I should have been more careful in distinguishing between them.If you're having trouble setting up the report to focus on new users, you might want to consider creating a cohort of new users first, and then using that cohort as a filter in your Impact report. This approach might give you more control over defining "new users" in the context of your specific launch.
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I apologize for the inconvenience you're experiencing with the Impact report. Since the Impact report isn't providing the results you need, let me suggest an alternative approach using a different report that might better serve your objective.Based on your scenario, the Experiments report could be a good alternative to measure the effect of your launch event on the activation event for new users. Here's why and how you can use it: Experiments report in Mixpanel is designed to measure the impact of product changes or new features on key metrics. While it's typically used for A/B testing, you can adapt it for your before/after analysis.Here's how you can set it up: 1. In the Experiments report, set your launch event (the one from February 13th) as the experiment event.2. Set your activation event as the goal event.3. For the experiment group, create a cohort of users who performed the launch event on or after February 13th. This will be your "treatment" group.4. For the control group, create a cohort of users who signed up before February 13th but didn't experience the launch event. This will be your "control" group.5. Set the experiment start date to February 13th and choose an appropriate end date.This setup will allow you to compare the activation rates between new users who experienced your launch event and those who didn't, effectively measuring the impact of your new onboarding feature.The Experiments report is particularly useful for this kind of analysis because it's designed to compare different groups of users and measure the impact of changes on specific metrics.If you need more guidance on using the Experiments report, you can refer to the Experiments report documentation.Remember, this approach is an adaptation of the Experiments report for your specific use case. If you continue to face challenges or if this doesn't quite fit your needs, I recommend reaching out to Mixpanel's support team for more personalized assistance with your specific data and objectives.
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