🖥️Understanding your User Analytics Dashboards
Last updated
Last updated
This section measures how many users are actively interacting with an app over a specified time period. An active user is defined as a user who has performed at least one interaction within the selected application and time period.
This section measures user involvement by segmenting users based on their activity levels:
Power Users: The top 10% of users, representing the most engaged individuals. These are the highly active users who contribute significantly to the platform's success.
Core Users: User above the median level of activity, consisting of the moderately engaged users. This group represents the majority of your user base, who regularly use the platform but may not be as active as power users.
Casual Users: Users below the median, with lower engagement. These users engage less frequently and may represent an opportunity for re-engagement or improvement.
This section measures user activity over time by categorizing users into cohorts based on their previous behavior. These cohorts have been created using the Mixpanel guidelines for user segmentation, which helps you understand how users are returning, staying, or disengaging from your applications.
The four cohorts are:
Resurrected Users: These users were active in the period before the last one, became inactive in the last period, but have become active again in the current period. This group represents users who have re-engaged with the platform after a break.
Dormant Users: Users who were active in the previous period, but are not active in the current period. These users have disengaged recently and may need reactivation strategies.
Retained Users: These are users who were active in the previous period and have continued to be active in the current period. This group reflects consistent engagement over time.
New Active Users: These users were not active in the previous period or in period prior, but have become active in the current period. This represents completely new users or returning users who are engaging with the platform after a long absence.
Overview
The Active User Dashboard focuses on monitoring user activity levels over time. It tracks the total number of active users on a per-period basis. Additionally, leaderboards provide insights into top-performing app interactions.
KPIs:
Active Users: Total number of unique users who have had at least one interaction with the app during the selected period (daily, weekly, monthly).
Average Active Users per Period: The average number of active users calculated across different time frames, such as the last 30 days (for daily), 12 weeks (for weekly), or 12 months (for monthly).
Visualizations:
Barchart of Active Users by Period:
Displays the total number of active users for each period (daily, weekly, monthly).
The chart helps visualize activity trends, highlighting periods of high or low user activity. The number of bars in the chart depends on the period the user applies. Generally, it shows the last 12 months or weeks or the last 30 days.
Two Leaderboards:
Active Users by App:
Shows the number of active users per app.
Helps identify the applications that are the most used.
Active Users by Interactions:
Displays the number of active users per interaction type.
This leaderboard allows you to see which interactions are actively used and how your users consume data.
Overview:
The engagement dashboard displays user cohort data based on the applied filters (see Filters section for details). It provides a breakdown of user activity levels (Power, Core, Casual) across different periods and labels. The dashboard is divided into two main sections: Number of Interactions and Average Engagement.
Data Interactions Section:
KPIs:
Data interactions: Number of interactions coming from all users
Power Users: Number of interactions coming from highly active users who engage with the app regularly (Top 10%).
Core Users: Number of interactions coming from users with moderate interaction (above median).
Casual Users: Number of interactions coming from users who engage with the app sporadically (below median).
Visualization:
Barchart of number of interactions over the time:
This chart displays the distribution of Power, Core, Casual, or All users across the selected time periods. You can adjust the distribution of users directly within the chart using the filter available.
The number of bars adjusts according to the period selected—whether it's the last 12 months, last 12 weeks, or last 30 days. Each bar represents the cohort count within that specific timeframe, offering a clear visualization of user engagement and activity over time.
Average Engagement Section:
KPIs:
Average Engagement: Average number of interactions per user within the period coming from all users
Power Users: Average number of interactions per user within the period coming from power users
Core Users: Average number of interactions per user within the period coming from core users
Casual Users: Average number of interactions per user within the period coming from casual users
Visualization:
Barchart of average engagement over the time: Similar to the cohort count chart but focused on average engagement. It shows how frequently users from each cohort engage with the app during the selected periods. This is particularly useful for tracking app usage. To increase usage (the number of interactions), you can either increase the number of users or increase the number of interactions per user.
Overview:
The Retention Dashboard focuses on understanding how well the app retains its users over time. It tracks key user cohorts such as new users, retained users, resurrected users, and dormant users. By analyzing these cohorts over different periods, this dashboard provides a clear view of user retention dynamics.
KPIs:
New Users: The number of users who signed up, started using after a while or used the app for the first time during the selected period.
Retained Users: Users who continue to use the app after their initial interaction.
Resurrected Users: Users who had previously become inactive but returned to the app during the selected period.
Dormant Users: Users who were once active but have not interacted with the app for a significant period.
Visualization:
Barchart of number of active users over the time:
Displays the breakdown of the four user cohorts (New, Retained, Resurrected, Dormant) over different time periods (daily, weekly, monthly). You can adjust the user categories directly within the chart using the available filter to select a cohort to analyze.
Each bar represents the number of users in each cohort for the selected period, plus you can specify the applications and the interactions you want to see (use the filter).
This chart allows you to compare how cohorts perform over time and identify patterns in user retention, churn, and re-engagement.
