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Uninstalls Rate
from Activation
Metrics type
Diagnostic
Units of measure
Percent / Ratio
Direction
Less - better
Check frequency
Weekly
Description
The percentage of users who have uninstalled the app relative to the total number of app installations.
Why it is important
A high Uninstalls Rate may indicate issues with user experience, app functionality, or customer dissatisfaction.
Monitoring this metric helps identify areas for improvement, allowing businesses to make informed decisions to enhance the app and retain a larger user base.
Monitoring this metric helps identify areas for improvement, allowing businesses to make informed decisions to enhance the app and retain a larger user base.
Formula
(Uninstalls / Total App Installs) * 100
Calculation example
Let's consider a scenario where you have a total of 20,000 app installations, and during a specific time period, 1,000 users uninstall the app. The Uninstalls Rate would be calculated as follows:
Uninstalls Rate = ( 20,000 / 1,000) × 100 = 5%
Uninstalls Rate = ( 20,000 / 1,000) × 100 = 5%
Affected metrics
n/a
Affecting metrics
n/a
Connecting metrics
Uninstalls
Total App Installs
Total App Installs
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Suggested slices for dashboards
by Traffic Source
by Device Type
by Geo
by Demographic Segment
by User Behavior Patterns
by App Version
by Customer Journey Stage
by Feedback and Reviews
by Competitor Benchmarking
by Loyalty Program Level
by Seasonal or Event-Based Trends
by Cross-Platform
by Customer Support Interaction
by Device Type
by Geo
by Demographic Segment
by User Behavior Patterns
by App Version
by Customer Journey Stage
by Feedback and Reviews
by Competitor Benchmarking
by Loyalty Program Level
by Seasonal or Event-Based Trends
by Cross-Platform
by Customer Support Interaction
The revenue impact pathway
Available in JetMetrics Lite only
Questions to be Answered
1. How does the Uninstalls Rate vary between different user segments or demographics, and what insights can be gained for tailoring app marketing and onboarding strategies to reduce uninstallations?
2. Are there specific app features or updates that correlate with changes in the Uninstalls Rate, and what insights can be gained for future development and marketing efforts to retain users?
3. Can you identify any correlation between the timing and frequency of user acquisition campaigns or promotions and fluctuations in the Uninstalls Rate?
4. How does the Uninstalls Rate differ between users who have completed the activation process and those who haven't?
5. What impact do limited-time promotions or exclusive offers have on the Uninstalls Rate, and how can these promotions be optimized for reducing the rate of app uninstallations?
6. How does the geographic location of users influence the Uninstalls Rate, and are there opportunities for localized optimization of user onboarding to decrease uninstallations?
7. What is the correlation between the Uninstalls Rate and user satisfaction scores, and how can improvements in user satisfaction contribute to a lower rate of app uninstallations?
2. Are there specific app features or updates that correlate with changes in the Uninstalls Rate, and what insights can be gained for future development and marketing efforts to retain users?
3. Can you identify any correlation between the timing and frequency of user acquisition campaigns or promotions and fluctuations in the Uninstalls Rate?
4. How does the Uninstalls Rate differ between users who have completed the activation process and those who haven't?
5. What impact do limited-time promotions or exclusive offers have on the Uninstalls Rate, and how can these promotions be optimized for reducing the rate of app uninstallations?
6. How does the geographic location of users influence the Uninstalls Rate, and are there opportunities for localized optimization of user onboarding to decrease uninstallations?
7. What is the correlation between the Uninstalls Rate and user satisfaction scores, and how can improvements in user satisfaction contribute to a lower rate of app uninstallations?
Possible causes of worsening
n/a
Tactics to improve this metric
Explore in JetMetrics Lite or Ask professionals in the Community
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