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Kaya Taner– AppLift – Berlin | San Francisco | Seoul – www.applift.com
Kaya Taner– 28/11/2013
Best practices to deliver LTV: Insights on generating ROI-positive traffic for free-to-play mobile games
Part of
Kaya Taner– AppLift – Berlin | San Francisco | Seoul – www.applift.com
CEO & Co-‐Founder AppLi2
70 people+, offices in Seoul, Berlin and San Francisco
Acquiring millions of users per month for 150+ games
2
Kaya Taner
Who is talking?
Kaya Taner– 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 IncenPvized Non-‐incent Non-‐intrusive
Goal Top posiPon High volume LTV > CPI
Kaya Taner– AppLift – Berlin | San Francisco | Seoul – www.applift.com 4
How to buy ROI posi<ve traffic
Tracking setup App Store opPmizaPon Traffic buying
Kaya Taner– AppLift – Berlin | San Francisco | Seoul – www.applift.com 5
Tracking setup
Common iden<fier needed to match channels with in-‐app behavior
Campaign tracking
A[ribuPon 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:
Kaya Taner– AppLift – Berlin | San Francisco | Seoul – www.applift.com
KPI‘s for in-‐game tracking
ROI-‐posiPve User AcquisiPon
RetenPon Engagement Virality
MonePzaPon
Day 1, 7, 30 DAU DNU
Average Pme in app / session
Total daily sessions / DAU
• K-‐factor (viral growth rate per-‐user
• Trackable: Social Media, Referrals, Invites etc.
• Non-‐trackable: Word of Mouth
ARPU = total revenue / # users ARPPU = total revenue / # paying users MonePzaPon rate = % of users that made in-‐app purchases
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Kaya Taner– AppLift – Berlin | San Francisco | Seoul – www.applift.com
The in-game KPI‘s in the User‘s Lifecycle
Kaya Taner– AppLift – Berlin | San Francisco | Seoul – www.applift.com 8
How to buy ROI posi<ve traffic
Tracking setup App Store opPmizaPon Traffic buying
eBook on Mobile Games Marke<ng Available for free download on
www.AppLiT.com
Kaya Taner– AppLift – Berlin | San Francisco | Seoul – www.applift.com 9
How to buy ROI posi<ve traffic
Tracking setup App Store opPmizaPon Traffic buying
Kaya Taner– AppLift – Berlin | San Francisco | Seoul – www.applift.com 10
Find the right traffic sources
It is cri<cal to understand and iden<fy the best traffic sources for your target your users In app In game Mobile Web
Kaya Taner– AppLift – Berlin | San Francisco | Seoul – www.applift.com 11
Address the users appropriately
• Performance based
Pay for new gamers on a risk-‐free CPI, opPmize the channels based on eCPI
• + Non-‐incen<vized Understand if a higher chart posiPon really pays off or if a sustained campaign has be[er returns
• + Non-‐intrusive (detailed) Ensure that your game is presented in the best possible way
Find the best performing way to reach the audience and address your poten<al new users
Kaya Taner– AppLift – Berlin | San Francisco | Seoul – www.applift.com 12
Examples of non-‐intrusive integra<ons
If done right, non-intrusive ads can show average CTR’s of 13%, Conversion rates of 16% and result in eCPM’s of 33 USD for the publisher
Tailor the use of ads and promo<ons to your product, gameplay and enrich the user experience
Kaya Taner– 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 acquisiPon of one user as well as free installs
CLV > eCPI
• Fixed costs • Setup costs • “Free” promoPons
• Virality (K-‐factor) • AddiPonal organic
installs
Kaya Taner– 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
Kaya Taner– 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
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 eCPI‘s for traffic source and es<mate CLV
Kaya Taner– AppLift – Berlin | San Francisco | Seoul – www.applift.com
Talk to us
Kaya Taner CEO & Co-‐Founder [email protected]
Download eBook at www.appliT.com
Kaya Taner– AppLift – Berlin | San Francisco | Seoul – www.applift.com 17
BACKUP
Kaya Taner– AppLift – Berlin | San Francisco | Seoul – www.applift.com 18
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 selecPon accordingly You can scale your user acquisi<on with ROI posi<ve channels
Kaya Taner– AppLift – Berlin | San Francisco | Seoul – www.applift.com 19
Wave 1: Buy a chart posi<on
“Can you guarantee a chart posi<on?”
Kaya Taner– AppLift – Berlin | San Francisco | Seoul – www.applift.com 20
Wave 2: Buy volume on CPI
“Give me as many installs as possible for this CPI!” No tracking beyond the install CPI adjusted based on happiness
with volume
Kaya Taner– AppLift – Berlin | San Francisco | Seoul – www.applift.com 21
Wave 3: Buy ROI posi<ve traffic
“I will only pay as much as the user is worth in my game!” Track the quality CPI adjusted based on quality
delivered
Kaya Taner– AppLift – Berlin | San Francisco | Seoul – www.applift.com 22
Examples of non-‐intrusive integra<ons