App Details
Analyze key app insights in detail through a wide range of metrics. You can download historical data and also download data for each indicator with OS filters applied.
App Information
At the top of the screen, you can check the app’s current store information. You can add the app to Favorites using the button next to the app name or quickly move to the Compare screen.
Information
App Icon : The icon registered in Google Play Store
App Name : The name registered in Google Play Store
Industry : An industry category independently classified by WISEAPP based on app usage behavior.
Android Store Info
App Developer : Click to view rankings of apps by the same developer.
Package Name : Click to open the Google Play Store page.
Category : You can view category change history if it exists.
Store Download Price : Free or Paid
Store Download : You can view change history if available.
iOS Store Info
App Developre : Click to view rankings of apps by the same developer.
Package Name : Click to open the App Store page.
Category : You can view category change history if it exists.
Store Download Price : Free or Paid
If the app is Android-only, only Android information is displayed.
1. All Users
You can understand the apps' overall characteristics by analyzing key indicators and their correlations.
You can set the period to Daily / Weekly / Monthly. However, when Daily is selected, only limited indicators are available.
Key Indicators
This metric provides a comprehensive view of app performance by capturing the overall scale of app usage.
Distribution by Gender and Age Groups
You can analyze the main user groups by checking user distribution by gender and age.
Indicator
By Gender and Age Groups : 10s or under Male&Female / 20s Male&Female / 30s Male&Female / 40s Male&Female / 50s Male&Female / 60s or more Male&Female
by Gender : Male / Female
by Age Group : 10s or under / 20s / 30s / 40s / 50s / 60s or more
Average Users by Time Zone
Identify usage patterns by analyzing the times when users are most active on average. Data is available in 1-hour intervals throughout the day, with breakdowns by day of the week, gender, and age group.
Indicator
All : The average users by time zone of all users
Day of the Week : Monday / Tuesday / Wednesday / Thursday / Friday / Saturday / Sunday
by Gender : Male / Female
by Age Group : 10s or under / 20s / 30s / 40s / 50s / 60s or more
Average App Usage Cycle
Identify how frequently users return to the app by measuring the average number of days between uses for users who have used the app more than once. The minimum usage cycle is 1 day—shorter cycles indicate more frequent app usage.
Retention
Represents the percentage of users who used the app in the previous period and returned to use it again in the current period, indicating overall user loyalty.
Indicator
All : Retention of all users
by Gender : Male / Female
by Age Group : 10s or under / 20s / 30s / 40s / 50s / 60s or more
New Installers Retention
Shows the new installers retention who continue to keep the app installed X days after their initial installation, reflecting user retention and satisfaction.
This metric is available starting from January 2017.
If the number of new installers is too low, the metric may not be provided due to potential statistical inaccuracies.
Indicator
Daily Retention Rate : Up to 7 days for weekly, up to number of days in month for monthly
Retention Trends : Trend based on last day of week/month
New Installer Retention is available only with the Android+iOS filter.
2. Users by Criteria
You can set the period to Weekly / Monthly.
Criteria
Users by Criteria are divided into three groups according to loyalty.
Users by Criteria are divided into Light, Middle, and Heavy users.
The criteria for classifying groups are the criteria indicator average value for 50% of the lower users and the criteria indicator average value for 50% of the upper users.
Criteria indicators provided are: usage time, sessions, and days of use.
Key Indicators
You can analyze trends and changes between user groups.
Distribution by Gender and Age Groups
Compare how user composition differs across loyalty groups.
Indicator
By Gender and Age Groups : 10s or under Male&Female / 20s Male&Female / 30s Male&Female / 40s Male&Female / 50s Male&Female / 60s or more Male&Female
by Gender : Male / Female
by Age Group : 10s or under / 20s / 30s / 40s / 50s / 60s or more
Industry VS Users by Criteria
Compare the following indicators between the app and its industry: Avg. Time in App per User, Avg. Number of Sessions per User, Avg. Active Days per User
3. User Behavior
You can analyze user behavior by segmenting users based on how frequently and how long they use the app.
You can set the period to Weekly / Monthly.
Usage Time Distribution
Users can be divided into five groups based on app usage time. By comparing these groups by gender and age group, you can identify user characteristics associated with different usage levels.
Filter
by Gender : All / Male / Female
by Age Group : All / 10s or under / 20s / 30s / 40s / 50s / 60s or more
Distribution of Sessions
Users can be divided into five groups based on app launch frequency. By comparing these groups by gender and age group, you can identify user characteristics associated with different launch frequencies.
Filter
by Gender : All / Male / Female
by Age Group : All / 10s or under / 20s / 30s / 40s / 50s / 60s or more
Apps Installed Together
By identifying other apps installed by users who have installed this app, you can understand user interests and identify competing apps.
Filter
View Settings : Exclude Android only / View same industry
Apps Used Together
By identifying other apps used by users who use this app, you can understand user interests and identify competing apps.
Filter
View Settings : Exclude Android only / View same industry
Industries Used Together
Understand usage context and lifestyle patterns through industries used together.
Apps Used Before and After Using Apps
Analyze app switching behavior and usage flow by examining which apps are used before and after using this app.
Filter
View Settings : Exclude Android only / View same industry
Indicator
Before use : Ranked by the proportion of executions of other apps before using this app
After use : Ranked by the proportion of executions of other apps after using this app
4. Industry VS App
Compare app with sub-industry to evaluate relative competitiveness in scale, usage, and frequency.
You can set the period to Weekly / Monthly.
Key Indicators
This metric reflects overall usage scale, enabling a comprehensive evaluation of app performance in comparison with the sub-industry.
User OS Distribution
Compare the OS usage distribution between the app and the industry.
Distribution by Gender and Age Groups
You can analyze the main user groups by checking user distribution by gender and age.
Indicator
By Gender and Age Groups : 10s or under Male&Female / 20s Male&Female / 30s Male&Female / 40s Male&Female / 50s Male&Female / 60s or more Male&Female
by Gender : Male / Female
by Age Group : 10s or under / 20s / 30s / 40s / 50s / 60s or more
Average App Usage Cycle
Identify how frequently users return to the app by measuring the average number of days between uses for users who have used the app more than once. The minimum usage cycle is 1 day—shorter cycles indicate more frequent app usage.
Retention
Represents the percentage of users who used the app in the previous period and returned to use it again in the current period, indicating overall user loyalty.
Indicator
All : The retention of all users.
by Gender : Male / Female
by Age Group : 10s or under / 20s / 30s / 40s / 50s / 60s or more
5. Inflow and Churn
Analyze user movement flows by comparing Inflow Users and Churn Users.
You can set the period to Weekly / Monthly.
Filter
View Settings : Exclude Android only
Indicator
Inflow : Users who previously used a different app have switched to this app in the current period. There may be overlapping users among different apps within the same industry.
Ranking of inflow from the same industry
Churn : Users who previously used this app have switched to a different app in the current period. There may be overlapping users among different apps within the same industry.
Total churn users
Ranking of churn from the same industry
Churn to different industry
Time taken from last run to delete : The average number of days from the last execution to app deletion among churned users. Measurement starts from the previous period of the selected timeframe, with a maximum range of 14 days for weekly data and 62 days for monthly data.
“0 day” indicates users who installed and deleted the app on the same day, while “– day” indicates users who did not churn during the period.
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