How to Measure the Percentage of Users Performing an Event Multiple Times to Gauge Engagement

Gabriel W. · 2026-08-18T09:52:49.699Z

What is the best way to measure what % of users did an event multiple times, i.e to determine how engaged users are with the feature behind the event

How to Measure the Percentage of Users Performing an Event Multiple Times to Gauge Engagement | Mixpanel Community

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kapa.ai
APP
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(edited)·
Measuring % of Users Who Did an Event Multiple Times
There are a few complementary approaches in Mixpanel to measure this:
1. Frequency per User (Insights Report) — Best for Distribution
The Frequency per User measurement in the Insights report is the most direct way to see how many times users performed an event and visualize the distribution.
In Insights, select your event and change the measurement to Frequency per User
Choose Distribution as the aggregation to see the breakdown of users by how many times they performed the event (e.g., 1 time, 2 times, 3 times, etc.)
This gives you a clear picture of engagement depth across your user base
[Insights Measurements]
2. Frequency View (Retention Report) — Best for Engagement Over Time
The Frequency view in the Retention report shows how frequently users return to perform an action within a time window.
Go to Reports → Retention and select the Frequency toggle
Choose between:
Cumulative Frequency: users who did the event in at least X unique intervals
Non-cumulative Frequency: users who did the event in exactly X unique intervals
This is particularly useful for understanding habitual engagement (e.g., how many users were active on 5 out of 7 days). [Frequency View]
3. Cohorts — Best for Segmenting and Comparing Groups
Once you know your frequency thresholds, you can create Cohorts to segment users by engagement level:
Power users: did the event 5+ times in the last 7 days
Casual users: did the event 1–2 times in the last 30 days
You can then compare these cohorts across other reports to understand what drives deeper engagement. [Cohorts]
4. Power/Core/Casual User Segmentation — Best for Benchmarking
In Insights, you can use Total per User with percentile aggregations to define engagement tiers:
Median (50th percentile) → core users
90th percentile → power users
25th percentile → casual users
[Analyze User Engagement]
Recommended starting point: Use Frequency per User → Distribution in Insights for an immediate view of the engagement spread, then build cohorts from those thresholds to track changes over time.
ℹ️ Tip: Mention @kapa.ai in the thread for follow-ups or DM the app for 1-to-1 help.

kapa.ai
APP
·
(edited)·
Measuring % of Users Who Did an Event Multiple Times
There are a few complementary approaches in Mixpanel to measure this:
1. Frequency per User (Insights Report) — Best for Distribution
The Frequency per User measurement in the Insights report is the most direct way to see how many times users performed an event and visualize the distribution.
In Insights, select your event and change the measurement to Frequency per User
Choose Distribution as the aggregation to see the breakdown of users by how many times they performed the event (e.g., 1 time, 2 times, 3 times, etc.)
This gives you a clear picture of engagement depth across your user base
[Insights Measurements]
2. Frequency View (Retention Report) — Best for Engagement Over Time
The Frequency view in the Retention report shows how frequently users return to perform an action within a time window.
Go to Reports → Retention and select the Frequency toggle
Choose between:
Cumulative Frequency: users who did the event in at least X unique intervals
Non-cumulative Frequency: users who did the event in exactly X unique intervals
This is particularly useful for understanding habitual engagement (e.g., how many users were active on 5 out of 7 days). [Frequency View]
3. Cohorts — Best for Segmenting and Comparing Groups
Once you know your frequency thresholds, you can create Cohorts to segment users by engagement level:
Power users: did the event 5+ times in the last 7 days
Casual users: did the event 1–2 times in the last 30 days
You can then compare these cohorts across other reports to understand what drives deeper engagement. [Cohorts]
4. Power/Core/Casual User Segmentation — Best for Benchmarking
In Insights, you can use Total per User with percentile aggregations to define engagement tiers:
Median (50th percentile) → core users
90th percentile → power users
25th percentile → casual users
[Analyze User Engagement]
Recommended starting point: Use Frequency per User → Distribution in Insights for an immediate view of the engagement spread, then build cohorts from those thresholds to track changes over time.
ℹ️ Tip: Mention @kapa.ai in the thread for follow-ups or DM the app for 1-to-1 help.

1 comment

Measuring % of Users Who Did an Event Multiple Times

1. Frequency per User (Insights Report) — Best for Distribution

2. Frequency View (Retention Report) — Best for Engagement Over Time

3. Cohorts — Best for Segmenting and Comparing Groups

4. Power/Core/Casual User Segmentation — Best for Benchmarking

Measuring % of Users Who Did an Event Multiple Times

1. Frequency per User (Insights Report) — Best for Distribution

2. Frequency View (Retention Report) — Best for Engagement Over Time

3. Cohorts — Best for Segmenting and Comparing Groups

4. Power/Core/Casual User Segmentation — Best for Benchmarking