Have you ever wondered how some F2P games do so much better than others, despite their similarities? With only 1-2% of players spending, and less than 15% still be active after one week, the majority of F2P games fail. So, you need to know how to get ahead. Analytics can reveal where your game is going wrong and can get you back on the path to success. deltaDNA CEO Mark Robinson will show you how to avoid a F2P flop in these webinar slides. You will find a recording of this webinar on our deltaDNA YouTube channel: https://youtu.be/4iq5RN3_cYI Discover: • Why game personalization matters to LTV and engagement • How to use tools to personalize your game • How to drive bottom line commercial success

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Today’s Speaker
Mark Robinson
CEO & co-founder
deltaDNA
@delta_DNA
/company/deltaDNA
/deltaDNA

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CPI vs. LTV

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Day One Retention Rates
• On average less than 40% of
players return to a free-to-play
game after just one session
• 44% have 60 – 80% of
players not returning after one
session
Many games live with low retention rates and therefore poor lifetime value
The Harsh Economics of F2P

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The Harsh Economics of F2P
Conversion from
Player to Payer

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Why players leave your game
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Appointment Setting
Monetization Blockers
Game Blockers
Rewarding
1st 60 Seconds
Game Complexity
Game Difficulty
Repeat Play
Tasks
Tutorial

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Move the dial
7
Technical
Issues
Too
Easy
Didn’t
Understand
Tutorial
Ran
Out Of
Resources
Too
Difficult
Good
Momentum
Long 1st
Session
Return
For 2nd
Session

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Key Player Behavior Drivers
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NOT ALL PLAYERS
ARE THE SAME

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The deltaDNA platform tools

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What is Analytics For?

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● Use 3D Segmentation to define
player target lists
● Use LTV Predictor tool to
calculate average revenue per
install for a range of player
demographics and acquisition
channels
● With as little as 4 days of data
you will gain >90% accuracy
● Focus on valuable engaged
players instead of volume
Manage the Whole Economy
Learn which clusters of players offer the best lifetime value: analyze behavioral
traits to optimize acquisition strategy

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Case Study: Segmentation Example

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● 350% increase in engaged users
(playing for more than 10 days in a row)
● 20% improvement in players returning
● Item sales in the in-game store
increased by six times
● 5x increase in number of transactions
● 8x increase in transaction value
Case Study: Use Engagement Tools to Optimize Retention & Engagement

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Optimize the Player Life Cycle
For gaming companies, deltaDNA is the number one
tool. It has a lot more potential than other analytics
tools we’ve used in the past; for example in A/B
testing, push notifications and engagement tools.
Alan Sumina
CEO of Nanobit

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Q&A
www.deltaDNA.com