ROI positive User Acquisition for mobile games
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Transcript of ROI positive User Acquisition for mobile games
Dr. Hanno Fichtner – November 2013
ROI positive User Acquisition for mobile games
Part of
Dr. Hanno Fichtner – AppLift – Berlin | San Francisco | Seoul – www.applift.com 2
Who is talking?
§ Co-‐Founder & Partner HitFox Group
§ Heading AppLi8 US
§ Acquiring millions of users per month for hundreds of games
Dr. Hanno Fichtner
Dr. Hanno Fichtner – AppLift – Berlin | San Francisco | Seoul – www.applift.com 3
The 3 waves of paid User Acquisi<on
Top charts Lowest CPI
ROI posi<ve
2011 2012 2013+
Pricing Flat fee CPI aCPI
SDKs No SDK Many SDKs Few SDKs
Ad type IncenJvized Non-‐incent Non-‐intrusive
Goal Top posiJon High volume CLV > eCPI
Dr. Hanno Fichtner – AppLift – Berlin | San Francisco | Seoul – www.applift.com 4
How to buy ROI posi<ve traffic
Tracking setup App Store opJmizaJon Traffic buying
Dr. Hanno Fichtner – AppLift – Berlin | San Francisco | Seoul – www.applift.com 5
Tracking setup
Common iden<fier needed to match channels with in-‐app behavior
Campaign tracking
§ AUribuJon of installs to paid and non-‐paid channels
§ Methods: Fingerprint, IDFA/Android ID
§ Players:
In-‐game tracking
§ Tracking of in-‐app events to measure and analyze user behavior
§ Players:
Dr. Hanno Fichtner – AppLift – Berlin | San Francisco | Seoul – www.applift.com
The in-‐game KPIs in the user‘s lifecycle
ROI-‐posiJve User AcquisiJon
RetenJon Engagement Virality
MoneJzaJon
§ Day 1, 7, 30 § DAU § DNU
§ Average Jme in app / session
§ Total daily sessions / DAU
§ Facebook sharing § Referrals § Reviews
§ ARPU = total revenue / # users § ARPPU = total revenue / # paying users § MoneJzaJon rate = % of users that made in-‐app purchases
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Dr. Hanno Fichtner – AppLift – Berlin | San Francisco | Seoul – www.applift.com 7
How to buy ROI posi<ve traffic
Tracking setup App Store opJmizaJon Traffic buying
Dr. Hanno Fichtner – AppLift – Berlin | San Francisco | Seoul – www.applift.com 8
ASO basics: S<cking out and closing the deal
Discoverability
OpJmizing your presence on the app stores through the search funcJon
§ Title
§ Keywords, IAP items: MobileDevHQ, Searchman, AppCod.es
§ DescripJon (Android)
Conversion
Closing the deal once your game has been discovered
§ Icon (detailed)
§ Screenshots
§ RaJngs
Dr. Hanno Fichtner – AppLift – Berlin | San Francisco | Seoul – www.applift.com
The Conversion Funnel
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Dr. Hanno Fichtner – AppLift – Berlin | San Francisco | Seoul – www.applift.com 10
Screenshot/Icon A-‐B tes<ng for iOS
Useful tools to start: www.atmio.com / www.sparkpage.com
Visits/Clicks = 6.9% Visits/Clicks = 9.6% +41%
Visits/Clicks = 5.8% -‐16%
Dr. Hanno Fichtner – AppLift – Berlin | San Francisco | Seoul – www.applift.com 11
How to buy ROI posi<ve traffic
Tracking setup App Store opJmizaJon Traffic buying
Dr. Hanno Fichtner – AppLift – Berlin | San Francisco | Seoul – www.applift.com 12
Find the right traffic sources
Gaming
• Target audience, proven interest in games
• Risk to address only non-‐paying gamers
Non-‐Gaming
• Great targeJng opJons when done right
• Higher likelihood to address paying users
• Strong impact of posiJve editorial content
• Significant spillover effect with media & PR
In-‐App Traffic Mobile Web
Dr. Hanno Fichtner – AppLift – Berlin | San Francisco | Seoul – www.applift.com 13
Find the right campaign setup
1. Performance based
Pay only on a risk-‐free CPI, opJmize based on eCPI
2. Non-‐incen<vized Evaluate potenJal benefits of higher chart posiJon versus ROI of a sustained campaign
3. Non-‐intrusive (detailed) Present your game in the best possible way
Dr. Hanno Fichtner – AppLift – Berlin | San Francisco | Seoul – www.applift.com 14
Examples of non-‐intrusive integra<ons
Resul<ng KPIs § Average CTR: 13% § Average conversion rate: 16% § Average eCPM: 33 USD
Dr. Hanno Fichtner – AppLift – Berlin | San Francisco | Seoul – www.applift.com
Understand the real cost of your acquired users
eCPI takes into account all the costs induced by the acquisiJon of one user as well as free installs
CLV > eCPI
• Fixed costs • Setup costs • “Free” promoJons
• Virality (K-‐factor) • AddiJonal organic
installs
Dr. Hanno Fichtner – AppLift – Berlin | San Francisco | Seoul – www.applift.com
Modeling CLV
RDk = reten*on rate on day k ARPDAUk = Average revenue per daily ac*ve user on day k
0% 10% 20% 30% 40% 50%
D1 D3 D5 D7 D9 D11 D13 D15 D17 D19 D21 D23 D25 D27 D29
Reten<on
CLV
Dr. Hanno Fichtner – AppLift – Berlin | San Francisco | Seoul – www.applift.com 17
Iden<fy ROI posi<ve channels
Source CPI K-‐Factor eCPI CLV D1 – Ret. Level Comp. …
1 $1.90 1.06 $1.79 $1.64 32% 17%
2 $2.10 1.02 $2.06 $2.01 41% 10%
3 $2.50 1.01 $2.48 $2.37 39% 21%
4 $2.70 1.23 $2.20 $2.87 54% 49%
5 $1.80 1.12 $1.61 $1.97 52% 46%
6 $1.90 1.04 $1.83 $1.64 37% 23%
7 $1.50 1.08 $1.39 $1.74 49% 42%
Matching the eCPIs with every channels individual CLV will allow you to adjust the CPIs and channel selecJon accordingly You can scale your user acquisi<on with ROI posi<ve channels
Dr. Hanno Fichtner – AppLift – Berlin | San Francisco | Seoul – www.applift.com
What does this mean for your launch <meline?
4 weeks before submission • Integrate install tracking SDK and in-‐game tracking SDK
• Set up A/B tests
2 weeks before launch • Set up campaigns with traffic partners
• Prepare crea<ves • Set up tracking
Game is live!
• Review in-‐game events
• Op<mize CPIs for traffic source and es<mate CLV
Dr. Hanno Fichtner – AppLift – Berlin | San Francisco | Seoul – www.applift.com
Talk to us
Dr. Hanno Fichtner CEO US, Co-‐Founder HitFox Group [email protected]
Download eBook at www.applin.com