Mobile App analytics could be achieved by adding analytics code / script to the App SDK (iOS or Android). Analytics implementation on App varies depending on the app SDK being used; iOS SDK is different from Android SDk. However, after the implementation analyst should test, monitor, and assure integrity of data flow to analytics report servers.
Below you will find two examples summarizing analytics implementations on two different systems, one from Adobe Analytics and the other one from Google Analytics:
Adobe Analytics Mobile App Implementation Summary:
Adobe Mobile Service Extension implementation of an iOS app, in Adobe-Launch would include the following steps:
Create a Mobile Launch property, add and configure Mobile-Extension, import Launch Mobile SDK into the app, use the emulator to assure that calls are being made to Adobe server, enable lifecycle metrics and assure data is being captured in Adobe Analytics.
Google Analytics Mobile App Implementation Summary:
Google analytics Mobile App tracking supports reporting and dashboard for both Google Analytics Interface and Firebase console.
An example of a Google Analytics implementation on an Android App would include the following steps; adding Firebase SDK to the app, connecting your app to Google Analytics, and then assuring data flow integrity by monitoring Google Analytics interface and Firebase console.
From crash-reports, users-acquisitions-reports, to geolocation-reports; Both Developers and digital markers interest in Mobile App analytics is growing. Mobile App applications solutions do not have the same level of maturity as web-analytics solutions, in my professional opinion.
Also, mobile App Analytics, to this day, are used mostly to manage SDK settings and do not support interface options to configure tracking for user actions, rules, or event triggers. Whereas, the majority of web-analytics solutions support interface options for tracking configurations.
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#Mobile#Service#Extension#add-in-Adobe-Launch
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