Google Analytic for Mobile Applications
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This document provides an overview of mobile app analytics and insights. It discusses analyzing play store campaigns, optimizing user experience by understanding user flows and drop off points, identifying app crashes and exceptions, analyzing social interactions, and focusing on high value users and operating systems. Key metrics mentioned include downloads, sessions, active users, screens, exceptions, social actions, and loyalty. The goal is to understand user behavior to improve the app experience and focus efforts.
Google Analytic for Mobile Applications
- 1. Mobile App Analytics Insight
- 2. An overview oPlay Store Campaign oOptimizing User Experience oApp Crashes and Exception oSocial Interaction oWhat user focus on? oScreens
- 3. Play Store Campaign How people found your app in the Play Store (Play App or website). How many downloaded. How many opened after download. User location. Active user New user Total app installations. Session,OS,versions
- 4. Limitation of IOS How people found your app in the Play Store (Play App or website). How many opened after download. Total app installations. The things which related to the app store
- 7. Optimizing User Experience 1. Users flow through the app. 2. How they engage with our content. 3. Where are users leaving the app? 4. Top Active Screen and versions 5. How do users behave differently depending on operating system, language, etc.? 6. Where they are coming from?
- 8. Optimizing User Experience Launch: How Many People Are Using Our App?
- 9. Optimizing User Experience App Behavior Flow 1. where they drop off? 2. how they reach specific screens, in what order.
- 10. App Crashes And Exceptions 1. What is the exception? 2. What is the impact of the exception? 3. Where/when is it occurring within our app? 4. On what devices, operating systems, app versions?
- 11. Social activity A social activity represents a social action like 1. Comment 2. Like 3. Share, etc
- 12. What user Should we Focus on? •Session durations •Loyalty The data indicates that repeat-users and users who engage with our app for longer periods of time .
- 13. What OS/Features Should We Focus On? 1. Where do we get the most bang for our buck? 2. Devices and Network Overview.
- 15. Dashboard View
- 16. App Page Views