App Ads Revenue Optimization using Firebase Analytics

1. Speaker: Loan Nguyen
App Ads Revenue Optimization
using Firebase Analytics
Presenter: Loan Nguyen
A Solution on Google Ad Exchange Platform

2. Table of content
01
02
03
Why using Analytics
tools?
What is Firebase?
04 Q&A - Contact
How to leverage analytics
data to optimize revenue?

3. 01WHY?

4. APP MONETIZATION PROCESS
04
Apps
Apps
Monetization Optimization
Users
UsersMonetization
Optimization

5. FIVE FACTORS AFFECTING APP MONETIZATION
APP MONETIZATION TREND
1
2
3
4
5
IN-APP ADS OPTIMIZATION
& AD NETWORK OPTIMIZATION
AD INDEXES BALANCING
USER RETENTION
UX UNDERSTANDING
05

6. WHY USING APP ANALYTICS TOOLS?
06
Understand how users interact with your products:
Engagement, Retention, Features, LTV1
Experiment with promotion and update strategies:
A/B Testing & Remote Config2
Optimize ads based on user behavior:
Analytics, Remote config, Admob3

7. MOBILE APP ANALYTICS
07
APP STORE
ANALYTICS
ATTRIBUTION
ANALYTICS
IN APP
ANALYTICS
APP STORE
( Itunes, Google Play )
PROVIDERS
( AppAnnie, Appflgures )
INTEGRATED
( Ad Network )
INDEPENDENT
( Appsflyer )
ENGAGEMENT
( MixPanel )
PERFORMANCE
( AppSee )

8. POPULAR ANALYTICS TOOLS
08

9. 02WHAT?

10. Firebase?
10

11. KEY FEATURES OF FIREBASE ANALYTICS
11
- Unlimited Reporting.
Firebase allows for reporting of 500 distinct events.
- Audience Segmentation.
- Integration with Other Services
such as Big Query, Firebase Crash Reporting,
Firebase Notifications, Firebase Remote Configuration
and Google Tag Manager.

12. 03HOW?

13. MONETIZATION METRICS
13
IAP
LTV, LT, eCPI, K
ARPU, ARPPU, ARPDAU
FUUU factor
Churn rate, retention rate, return rate
Duration and engagement
Advertising
eCPM
Fill rate
CTR, CPC, CPC
DAU, MAU
Length of session
Refresh rate

14. DAU, MAU
14

15. USER ENGAGEMENT
- User flow
- Engagement time
- Session per user
15

16. USER RETENTION
16

17. LIFE-TIME VALUE (LTV)
17
ARPU
Total monthly revenue
Total users
Users who
generated
revenue
Users who have
yet to generated
revenue
Users who
generated
revenue and
might generate
more
Users who have yet
to generated revenue
but might still
generate revenue
Predicted LTV
Total expected lifetime revenue
Total users

18. LIFE-TIME VALUE (LTV)
18

19. REMOTE CONFIG
19
Firebase Remote Config
- Update your app from the cloud
- Send different values to
different groups
- A/B test or gradual rollouts
- Customized content

20. REMOTE CONFIG
ADS FORMATS
20

21. REMOTE CONFIG: A/B TESTING
21

22. REMOTE CONFIG: A/B TESTING
22

23. REMOTE CONFIG : PREDICTIONS
23

24. LOAN NGUYEN
AppotaX - Project Manager
Tel: +84 168 999 1490
Email: loannt@appota.com
Skype: loanloan.lala
Q&A - CONTACT
24

25. Speaker: Loan Nguyen