How to Make Your Gaming App a Success презентация

Содержание

Ran Avrahamy Head of Marketing – AppsFlyer Mark Robinson CEO – deltaDNA Fascinated by the potential of big data, Mark co-founded deltaDNA in 2010 and has made it his personal mission

Слайд 1How to Make Your
Gaming App a Success


Слайд 2Ran Avrahamy Head of Marketing – AppsFlyer
Mark Robinson CEO – deltaDNA
Fascinated by the

potential of big data, Mark co-founded deltaDNA in 2010 and has made it his personal mission to evangelize on how analytics can change the games industry.

Managing a complicated relationship with mobile. (Too) early adopter. Loves being an entrepreneur - Hates the word entrepreneur.


Слайд 3
How to Take Your
Advertising Campaigns
To The Next Level


Слайд 4Leading the Mobile Advertising Analytics Market


Слайд 5
Leading in Scale


Слайд 6
Leading in Retention


Слайд 7
Back to Basics


Слайд 8
Mobile
Advertising
Analytics



What is it




Why do you need it






Слайд 9
Actionable insights on
network performance


Sorted by ARPU


Слайд 10

Sorted by Conversion rate
Actionable insights on
ad creative performance


Слайд 11
So…
How Do You Take Your Campaigns to The Next Level?


Слайд 12

Tutorial completion
Sharing
with friends
Unlocking
achievements

Sessions
In-app purchases
Facebook Connect
Players who connected with Facebook and completed

a tutorial

Players who made an in-app purchase, completed level 10 but were inactive for 7 days

& Combine rich in-app events
...parameters at the SDK level

to pinpoint which media...
source delivered, for example


Rich In-App Events


Слайд 13Single smart tracking
link for all sources
Non-disruptive user experiences

Real time

attribution data

Multiple links for each campaign, platform and OS

Broken user experiences

No conversion data

From...

To...

The Evolution of Deeplinking


Слайд 14Click
Attribution data provided in real time

User landed on the right screen


App Installed
Direct to app

App opened

App not installed: App Store Redirect

in action

App opened








Слайд 15Jackpot: Performance Index
for the gaming vertical

Know your networks


Слайд 16Day 1 Retention - Gaming


Слайд 17Day 7 Retention - Gaming


Слайд 18Day 30 Retention - Gaming


Слайд 19Retention Level Gap
+7%
+45%
+103%


Слайд 20Key Takeaways

Big Data
is King
Video ads
preform
iOS
Power
Key Takeaways


Слайд 21
2nd Star
OneLink
Ran Avrahamy

ran@appsflyer.com

@RanAvr


Слайд 23CPI vs. LTV


Слайд 24Day 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


Слайд 25The Harsh Economics of F2P
Conversion from Player to Payer


Слайд 26Why players leave your game
Appointment Setting
Monetization Blockers
Game Blockers
Rewarding
1st 60 Seconds
Game Complexity
Game

Difficulty

Repeat Play

Tasks

Tutorial


Слайд 27Move the dial
Technical
Issues
Too
Easy
Didn’t
Understand
Tutorial
Ran
Out Of
Resources
Too
Difficult
Good
Momentum
Long 1st
Session
Return
For 2nd Session


Слайд 28Key Player Behavior Drivers
NOT ALL PLAYERS
ARE THE SAME


Слайд 29The deltaDNA platform tools


Слайд 30Maximize the Lifetime Value of your Players


Слайд 31Maximize the Lifetime Value of your Players


Слайд 32Use 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




Understand the LTV of Player Segments

Learn which clusters of players offer the best lifetime value: analyze behavioral traits to optimize acquisition strategy



Слайд 33Nanobit uses A/B tests to optimize pricing

Created 3 test groups;

reduced price by 20%, kept prices the same, increased price by 20%

After less than a week could see that increasing the price by 20% had no negative effect on retention

Revenue up by at least 20 - 50%


For gaming companies, deltaDNA is our number one tool. It has a lot more possibilities than other analytics tools we’ve used in the past; for example A/B testing, push notifications and engagement tools.

Alan Sumina
CEO of Nanobit

Case Study: A/B test to Optimize Monetization


Слайд 34


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


Слайд 35Integrating the tools from both Appsflyer and deltaDNA lets us see

the whole lifecycle of users that we have acquired from one particular campaign

Optimize the Entire Player Life Cycle

Alan Sumina
CEO of Nanobit


Слайд 36Q&A
www.deltaDNA.com
www.AppsFlyer.com


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