24. KEY LEARNINGS
1.
LESS THAN 15% OF ALL USERS ARE
OVER 45Y BUT THIS GROUP
REPRESENTS CLOSE TO 30% MOST
VALUABLE USERS.
2.
MAJORITY OF ALL USERS ARE
WOMEN BUT AMONGST THE MOST
VALUABLE THE RATIO IS CLOSE TO
50/50.
27. WHAT WAS FACEBOOK’S
KEY INDICATOR OF
ENGAGED USER?
Source: http://genius.com/Chamath-palihapitiya-how-we-put-facebook-on-the-path-to-1-billion-users-annotated
28. WHAT WAS FACEBOOK’S
KEY INDICATOR OF
ENGAGED USER?
ADDING 7 FRIENDS
IN THE FIRST 10 DAYS
Source: http://genius.com/Chamath-palihapitiya-how-we-put-facebook-on-the-path-to-1-billion-users-annotated
29. THE ‘AHA’ MOMENTS
FACEBOOK
7 FRIENDS IN 10 DAYS
TWITTER
FOLLOW 30 USERS
ZYNGA
COME BACK AFTER 1 DAY
DROPBOX
UPLOAD 1 FILE
31. 2. ENSURE EVENT VARIETY & FREQUENCY
In-app events are the
minimum
recommendation
Is the range of
event/install ratio
these events should
cover in the same
user funnel
Hits (≠ conversions) per
day for all three events
are a great signal for
frequency.
Is the number of
events per funnel to
choose for predictive
optimization
3
50-5% 10k 1
32. INCLUDE ONE INSTAL/FIRST OPEN
1. 2.Go to conversions Check the ‘include in
conversions’ column
Change in the conversion
setting directly if not
Needs to say ‘Yes’ for one install/
first open for the promoted app
1 1.2 2.1.3
42. OPEN-BETA
Run an open-beta before launching publicly
● Test your app with real users, at scale
● Find product-market fit earlier
● Fine-tune game KPIs
43. PRIVATE FEEDBACK
Run an open-beta before launching publicly
● Feedback is private
● Doesn’t affect app rating
● Feedback shown in the Play Console
49. In-app event that matter: Sending a Charm
Shifting to value
“Universal App Campaigns helped us acquire users who got
more out of our app. The proportion of these new users
sending at least one charm was 18% higher than before the
roll out. Universal App Campaigns made it easy to align our
growth strategy with the metrics that our business cares
about most.”
Estelle Schuster,
Growth & Acquisition Specialist - Happn
Increase in registered users
sending at least 1 charm
Up to
18%
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Going deeper
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Not obvious targeting (18-24)
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Attribution
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Where is value?
64. “Thanks to Firebase integration, we’ve
eliminated discrepancies between our
internal BI and attribution tool, so we’re
more confident in our marketing spend.”
Hitwe meets its
goal of optimal
user engagement
with Firebase
- Ann Lavrisheva
PPC Manager, Hitwe
Goals
• Understand user behavior across
different segments as a way to
optimize engagement with
target audiences
Approach
• Use Firebase to analyze
performance of AdWords
campaigns as well as user behavior
• Build audience lists based on data
for optimized push-notification
campaigns
Results
• Successfully running campaigns
across channels based on
Firebase data
• Improved, consistent engagement
with audience via targeted push-
notifications
• Simplified tracking management
through Firebase’s single dashboard
65. “Thanks to Firebase integration, we’ve eliminated discrepancies between our internal BI and
attribution tool, so we’re more confident in our marketing spend.”
- Ann Lavrisheva
PPC Manager, Hitwe
Improved user
engagement
Via Targeted
Push-notifications
Simplified tracking
management
through Firebase’s
single dashboard
Hitwe meets its goal of
optimal user engagement
with Firebase
Successfully
running all
campaigns
based on
Firebase data
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CLTV
● ARPU
● Lifetime (retention)
● Referral value
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Segment or die
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2. Segment or die
Segment or die
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Google Confidential and Proprietary
Real segmentation
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Proprietary + Confidential
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74. Información confidencial propiedad de Google
Usage of Remote Config
Take action using cloud platforms to maximise personalisation opportunity
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Testing case study
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Proprietary + Confidential
Source: https://splitforce.com/blog/case-study-growing-mobile-ebook-revenue-25-ab-testing/
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Confidence level
Margin of Error 90% 95% 99%
0.50% 36,995 36,995 62,410
1% 6,719 9,513 16,369
2% 1,689 2,395 4,143
3% 751 1,066 1,846
4% 423 600 1,039
5% 271 384 665
Statistical significance
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Upsell -> Increased revenue by 30%
Upsell
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Increased revenue by 20%
Personalisation and segmentation