SlideShare a Scribd company logo
Tailored Offers
Noam Kagan
Private company
220,000,000 downloads!
#1 racing game in 143 countries
Editor’s Choice
Offices in Israel, U.S. and Russia
Big plans for 2019!
award
Hours
to Days
Hours
to Days
! Expensive team
Of data scientists ! Fragmented with
too many tools! Not in real time
Limited number
of parameters! ! Hard to get real
results !
Every update will require
modification
in offers logic
Manual tailored offer is so 2016
?
Tailored offers at the AI and Machine Learning era
The AI follows the users,
gathers data and starts
predicting what the user
will do next.
The AI divides the users
to micro segments.
The AI identify the users
that need that extra push
to convert.
The AI sends the offers only
to 85% of the users
in order to check the long
term effect.
The AI identifies the
user’s “sweet point” and
sends the user a tailored
offer based on their in-
game behavior.
The AI collects results, makes necessary improvements and
starts all over again.
Retention
Engaged users don’t just leave out of the blue
The writing is on the wall
Session Length
Number of daily sessions
Time of day they are playing
Last purchase of an in-game item
Time since leveling up
Amount of available game resources
Real-Time decision making
based on live changing in-
game data
Get some coins
to get you back
on track
Come back
tomorrow to get
a free bike
Play with the pink
tank you always
wanted for the
next 48 hrs
All coins are X2
for the next
24 hours
Get X2 more
coins on your
next IAP
To Summarize:
Like most things today, Tailored offers are more efficiently controlled by AI.
Technology today makes AI offers reachable to companies in all sizes.
AI should be connected to as many in game items as possible.
Patience - AI is getting smarter with time.
Thank You!
Noam Kagan
noam@deemedya.com
www.deemedya.com

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Tailoring Experiences: Practical Tools to Increase IAP LTV and Day 7 Retention | Noam Kagan

  • 2. Private company 220,000,000 downloads! #1 racing game in 143 countries Editor’s Choice Offices in Israel, U.S. and Russia Big plans for 2019! award
  • 3. Hours to Days Hours to Days ! Expensive team Of data scientists ! Fragmented with too many tools! Not in real time Limited number of parameters! ! Hard to get real results ! Every update will require modification in offers logic Manual tailored offer is so 2016 ?
  • 4.
  • 5. Tailored offers at the AI and Machine Learning era The AI follows the users, gathers data and starts predicting what the user will do next. The AI divides the users to micro segments. The AI identify the users that need that extra push to convert. The AI sends the offers only to 85% of the users in order to check the long term effect. The AI identifies the user’s “sweet point” and sends the user a tailored offer based on their in- game behavior. The AI collects results, makes necessary improvements and starts all over again.
  • 7. Engaged users don’t just leave out of the blue The writing is on the wall Session Length Number of daily sessions Time of day they are playing Last purchase of an in-game item Time since leveling up Amount of available game resources
  • 8. Real-Time decision making based on live changing in- game data Get some coins to get you back on track Come back tomorrow to get a free bike Play with the pink tank you always wanted for the next 48 hrs All coins are X2 for the next 24 hours Get X2 more coins on your next IAP
  • 9. To Summarize: Like most things today, Tailored offers are more efficiently controlled by AI. Technology today makes AI offers reachable to companies in all sizes. AI should be connected to as many in game items as possible. Patience - AI is getting smarter with time.