Analyzing User Cohorts for Insights: A Step-by-Step Guide
kapa.ai I have created a User Cohort, now how do I analyse that cohort for insights or trends or anything?
kapa.ai I have created a User Cohort, now how do I analyse that cohort for insights or trends or anything?
To analyze a User Cohort you've created in Mixpanel for insights, trends, or other information, you have several options: 1. Visualize Cohort Size Over Time: In Insights, you can define a metric based on the size of your cohort over time. This helps you understand how key subsets of your user base are trending. Select your cohort from the "Events and Cohorts" menu in the Insights report to generate a line chart showing the cohort size over time.2. Filter Reports by Cohort: You can use your cohort to filter any of your analyses by selecting it from the filter menu. This allows you to focus your analysis on specific user groups.3. Compare Cohorts: Select your cohort from the breakdown menu to compare its behavior against other cohorts or all users. For example, you could compare engagement metrics between your cohort and all users.4. Use in Other Reports: Your cohort can be used in other Mixpanel reports like Funnels or Retention to analyze specific user group behaviors.5. Analyze in Insights: Use the Insights report to dive deeper into your cohort's behavior. You can analyze events, create custom metrics, or use formulas to gain more detailed insights about your cohort.These methods are described in the Mixpanel documentation on Using Cohorts in Analysis.Remember, cohorts in Mixpanel are dynamic, meaning they update as users meet or stop meeting the cohort criteria. This allows you to track changes in your cohort over time and gain ongoing insights into user behavior.
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, On vs On or Before vs On or After, give me what they mean with example
Let me check the knowledge base for you again. One moment! đź“š
Certainly! I'll explain the differences between "On," "On or Before," and "On or After" retention criteria in Mixpanel, along with examples for each.1. "On" Retention: "On" retention calculates the percentage of users who come back on a specific time unit (e.g., day, week, month).Example: If you're looking at day 5 retention, it would show the percentage of users who "came back and did B" exactly on the fifth day after they did the A event.Use case: "On" retention is useful for understanding high-level usage patterns or when your product relies on users returning in each and every time unit.2. "On or Before" Retention: "On or Before" retention is commonly used with measurement types of property sum or average. It looks at total activity done during the period between the start and end event.Example: If you want to look at 30 Day LTV (Lifetime Value) of e-commerce users, you would look at total money spent on purchases from sign-up for 30 Days. This includes looking at revenue spent from Day 0, Day 1 ..to Day 30.Use case: This is useful for analyzing cumulative metrics like total revenue or average revenue per user within a specific timeframe.3. "On or After" Retention: "On or After" retention calculates the percentage of users who come back on a specific time unit or any time unit afterward.Example: If you're looking at day 5 "On or After" retention, it would show the percentage of users who "came back and did B" on day 5 or any day after that.Use case: This gives you a better sense of how long you are holding on to your users in an absolute sense. It tells you how many users used your app and then ever returned to find more value.Mixpanel recommends "On or After" retention for most businesses as it's more common that a product doesn't require users to come back in each time unit to achieve the product's value proposition.These retention criteria are explained in detail in the Mixpanel documentation on Retention Criteria.Remember, the choice between these retention types depends on your specific business needs and how you want to measure user engagement over time.
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.