This document provides an overview of Firebase Analytics, a mobile analytics tool from Google. It discusses how mobile analytics differs from web analytics in tracking standalone mobile apps. Firebase Analytics automatically tracks 23 standard events and 13 user properties without additional code. It can also track custom events and properties defined by the developer. The document outlines how to connect a mobile app to Firebase Analytics and integrate the data with Google Analytics and BigQuery for further analysis.

2. Firebase Analytics
Mobile Analytics for Apps
Mariam Aslam
https://twitter.com/MaiAslam

3. Overview
In 2018, more than 7.1 millions apps were available in App Stores
● Google Play represents - 50%
● Apple Store - 30%
● Windows - 10%,
● Amazon - 6%
● Blackberry - 4%

4. Mobile Analytics and measurements
● Users interact with organisations on their mobile devices using both browsers and apps.
● Mobile Analytics refers to both mobile and web apps.
● Mobile Apps are standalone applications.
● Mobile Analytics helps you understand:
▹ How often people interact with my App
▹ What information in the app is important for them
▹ Which devices are popular so I can optimise my app accordingly
▹ How to best engage with consumers

5. Mobile App Lifecycle

6. When do we need Firebase Analytics

7. Tools for Analytical Capabilities
● Mobile Analytics while conceptually similar to Web Tracking, is infinitely more complex.
● Mobile Analytics requires more development knowledge and understanding of how to
integrate with an SDK provided by Google.
Following are tools for Analytical Capabilities:
● App Store Consoles:
○ Google Play Console and Itunes App Analytics
● Firebase Analytics

8. What is Firebase?

10. What is tracked by
Google Analytics for Firebase automatically logs 23 events and 13 user properties.
No additional code is required to collect the following:
▹Events:app_clear_data,app_exception,app_remove,app_update,dynamic_link_app_open,
dynamic_link_app_update,dynamic_link_first_open,first_open,in_app_purchase,notification_dismiss
,notification_foreground,notification_open,notification_receive,os_update,screen_view,session_star
t,user_engagement,ad_click, ad_exposure, ad_impression, ad_query, ad_reward, adunit_exposure,
▹ User properties: Age, App Store, App Version, Country, Device Brand, Device Category, Device
Model, First Open Time, Gender, Interests, Language, New/Established, OS Version

11. Extend your measurements
You can widen and extend the default measurement by defining custom event and custom
user properties: up to 500 different events and up to 25 unique parameters per Event type.
These customisations require additional implementation. Firebase supports a multitude of
built-in events.

12. Connect Your App to Firebase
Create a Firebase project
in the Firebase console
Include Firebase SDK and
your
config file to your app
project
Implement your custom
events and user
properties
Initiate the SDK and add
Analytics to your project
Configure Firebase console:
custom events, funnels,
audiences

13. Connect Firebase to Google Analytics
Firebase can also be integrated within Google Analytics interface simply by creating a new
app property and connecting it to Firebase.

14. Integrate with Big Query
● Linking BigQuery to your Firebase app lets you access your raw, unsampled event data
along with all of your parameters and user properties.
● You can query, export, or join your datasets with data from external sources to perform
custom analysis.

15. Thanks
https://twitter.com/MaiAslam