Firebase Analytics
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Market Overview on Firebase
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Google’s Global Partners using Firebase
Used Firebase Predictions to boost retention by 20% in their hit game Dan the Man using the Churn Prediction.
Used Firebase Analytics to boost revenue by 15% in their mid-core game Boxing Star by optimizing for the highest eCPM.
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What is Firebase?Google's mobile platform to help develop high-quality apps & grow your business
Grow your app
Analytics
Predictions
Cloud Messaging
Remote Config
A/B Testing
DynamicLinks
Build better apps
Auth
Cloud Functions
Cloud Firestore
Cloud Storage
Hosting
RealtimeDatabase
Improve app quality
Crashlytics
Performance Monitoring
Test Lab
ML Kit
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● Free and unlimited app analytics
● User segmentation and analysis
● Data export to Google BigQuery
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Verticalized Firebase Metrics
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Metric Section Definition
DAU Dashboard Total Unique User / day
D+7, 28 Retention Retention % of users returning after X days
Av. session time/user Dashboard Time spent per user per day on an app
IAP Revenue Dashboard the sum of ecommerce_purchase and in_app_purchase event values
AdMob Revenue Dashboard Ad revenue estimated from the AdMob network.
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Case Studies/References
Halfbrick Games (Slides, 1-pager): [Prediction case study - Retention focused] - Used predictions to give users who were predicted to churn a free in-game gift, - Saw a 20% boost in 7-day retention rate
Four Thirty Three (PDF): [Audience, Custom Events, Remote Config] - Implemented rewarded ads and Google Analytics for Firebase- Grew their revenue 15%, user engagement by 38%, and retention by 8% — without hurting IAP
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Active Users
% of users that have interacted at least once with your app in a certain time frame
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Active Users
Monthly (28-day), Weekly (7-day), and Daily (1-day) active users for the date range, including fluctuation by percentage from the previous date range.
The number of people using your app in the last 30 minutes (updated real-time).
Trend should be to increase with time. Deep dive needed for 1-2%
delta in Active Users
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User Retention
% of returning users
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User Retention
D7 Retention:% of returning new users after a week
% of new users returning from a particular week
Aim for increasing the D7 retention over time
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User Demographics
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User Demographics
% of sessions from a particular country, gender, age group or mobile OS platform
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Average daily engagement for the selected time period
% of engagement at a screen level and average time spent per screen
User Engagement
Aim for increasing trend for Daily User Engagement. Deep dive for
a delta of 5% or higher
Analyse the screens with high and low engagement. Deep dive
for low engagement screens
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Revenue
Revenue per user and revenue per paid user for the time period selected. Will include AdMob earnings if integrated
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IAP Revenue
% of users converting for the in app purchase event
Details of top purchases made by users
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AdMob Revenue
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AdMob Revenue
Estimated ad revenue from impressions and clicks on particular ad units
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AdMob Revenue
% of ad click event triggered by top countries indicates ad revenue by top countries
% of ad click event triggered by each age group and gender indicates the revenue from different user segments