User analysis from measurement data
Once you've implemented Repro and you're ready for KPI watch, it's time to analyze user behavior data from your measurement data.
This page will show you how to use analytics appropriately for what you want to analyze.
How to use analytics
Watch the status of your KPIs regularly
KPI analysis is used to get a fixed point of view on the KPIs of a service.
By watching not only the percentage of users who perform an action once, but also the percentage of users who perform an action multiple times, you can understand the loyalty of your users.
For a detailed usage and use case document on KPI analysis, please click here.
You can watch a video on how to use KPI analysis here.
Analyze the User Exit Point
Use funnel analysis when looking for disengagement points (bottlenecks) for your app users.
Understand at which steps users are leaving your app, and improve your app utilization by implementing measures to improve the abandonment rate.
For a detailed usage and use case document on funnel analysis, please click here.
To watch a video on how to use funnel analysis, please click here.
Analyze the user's execution events (behavior)
Analysis of user behavior, implemented as an event, is done with access analytics.
Access analysis allows you to see the number of users and the total number of executions of an event over time.
Which features are used most often?
How about by user attributes?
Use access analytics to analyze the above to understand how your app and website are being used. Then, improve your app user engagement by appealing to all users with actions that your loyal users are likely to take.
Click here for a detailed usage case document on access analytics.
Watch a video on how to use access analytics here.
Analyze user retention-related behaviors
The analysis related to user retention is done with retention analysis.
With retention analysis, you can check the user retention rate by specifying events and the number of times they are executed.
Analyze the results of measures aimed at improving user retention rates.
Correlation between specified events and their execution frequency and user retention rate
Use the above analysis with retention analytics to find measures that will improve your app user retention rate.
For a detailed usage and use case document on retention analysis, please click here.
Watch the video on how to use retention analytics here.
Have you analyzed your users' behavior from a variety of measurements?
Once you have a better understanding of your users' behavior, let's think about the growth impediments and improvement measures for your app using the numerical data.
- User analysis from measurement data
- If you’re having trouble with creative content
- Let’s re-consider the growth inhibitors and proposed measures