A KEYWORDS STUDIO

YOKOZUNA data

PREDICTINGTHE FUTUREOF YOUR GAME

PUSHING BACK THE FRONTIERS OF GAME DATA SCIENCE: A state-of-the-art machine learning engine that predicts individual player behavior

WHY IS YOKOZUNA DATA SO UNIQUE?

IT PREDICTS WHEN EVERY PLAYER WILL LEAVE THE GAME

DATE LEVEL PLAYTIME MONEY

WHICH ITEM WILL THEYPURCHASE NEXT?

Billing historyDistribution of itemprobabilities

Time to next purchase

08/06 08/15 08/27 09/06

Playtime

GAMEAPPLICATIONS

Players who may stop purchasing

Upcomingchurners

RECOMMENDS THE BEST SEQUENCE OF EVENTS TO MAXIMIZE PLAYER ENGAGEMENT CONSIDERING EXTERNAL AND ENVIRONMENTAL FACTORS

WHICH BUSINESS PROBLEMS DOES IT SOLVE?

PLAYERRETENTION

GAME OPTIMIZATION

GAME DEVELOPMENT

$1.3M/monthsales increase

+10%VIP Retention

$4M/monthsales increase

+5%PU Increase

$8M/yearsales increase

Improvingdevelopmentof levels with the highest churn rate

NUMBERS FOR AAA MOBILE GAMES

$200K/monthsales increase

$70K/monthsales increase

+5%PU Increase

$10M/yearsales increase

+10%VIP Retention

Improvingdevelopmentof levels with the highest churn rate

NUMBERS FOR WESTERN CASUAL GAMES

HOW DOES ITWORK?

nCrn!r!(n-r)!

=

VideoGame

Data

Take Action

Machine LearningAI Models

IndividualPlayerBehaviouralPredictions

VIDEO GAME DATA

Logins Actions In-app PurchasesVirtual PurchasesItems SelectedPlaytime Time FrameSocial InteractionsIn-game Level-ups

WHY IS IT SO GROUNDBREAKING?

OPERATIONAL PLAYER BEHAVIOURAL PREDICTIONThe first recommendation system and prediction platform that utilizes next-gen AI algorithms to move game development into the future.

DEEP LEARNING AND ENSEMBLE LEARNING Deep Learning and Ensemble Learning provide individual behavioral predictions, simulations and personalized challenges and rewards.

BIG DATAUtilizing the latest techniques in big data processing and cloud computing, YOKOZUNA data scales to datasets of any size.

HOW ACCURATE ARE OUR PREDICTIONS?

We won both tracks of the NCSoft's Blade & Soul Game Data Science competition at the IEEE 2017 Conference on Computational Intelligence in Games (CIG)

YokozunaData (Japan)

UTU (Finland)

TripleS (Korea)

TheCowKing

goedleio

0.610098

0.60326

0.57968

0.59370

0.57717

0.63326

0.60370

0.62459

0.60718

0.56205

0.62145

0.60348

0.60130

0.60036

0.58882

Team Test1 Score Test2 Score Total Score Rank

1

2

3

4

5

YokozunaData (Japan)

IISLABSKKU

UTU (Finland)

TripleS (Korea)

DTND

0.883248

1.034321

0.927712

0.958308

1.032688

0.616499

0.679214

0.898471

0.891106

0.930417

Team Test1 Score Test2 Score

Track 1 Which players will leave the game Track 2 When they will leave the game

CHURN PREDICTION IN MOBILE SOCIAL GAMES: TOWARDS A COMPLETE

ASSESSMENT USING SURVIVAL ENSEMBLES

A. Perianez, A. Saas, A. Guitart and C. Magne

IEEE DSAA 2016 Montreal

DISCOVERING PLAYING PATTERNS:

TIME SERIES CLUSTERINGOF FREE-TO-PLAY

GAME DATA

A. Guitart, A. Perianez and A. Saas,

IEEE CIG 2016 Santorini

GAMES AND BIG DATA: A SCALABLE

MULTI-DIMENSIONAL CHURN PREDICTION

MODEL

P. Bertens, A. Guitart and A. Perianez, A. Saas, IEEE CIG 2017 New York

FORECASTING PLAYER BEHAVIORAL DATA

AND SIMULATING IN-GAME EVENTS

A. Guitart, P. Chen, P. Bertens and A. PerianezIEEE FICC 2018 Singapore

THE WINNING SOLUTION TO THE IEEE CIG 2017

GAME DATA MINING COMPETITION

A. Guitart, P. Chen, A. Periáñez

A MACHINE-LEARNINGITEM RECOMMENDATION

SYSTEM FOR VIDEO GAMES

P. Chen, A. Guitart, P. Bertens, A. Periáñez

IEEE CIG 2018 Maastricht

CUSTOMER LIFETIMEVALUE IN VIDEO

GAMES USING DEEPLEARNING AND

PARAMEDIC MODELS

P. Chen, A. Guitart, A. Fernandez de Rio and A. Periáñez

IEEE Big Data 2018 Seattle

YOKOZUNA DATA PEER-REVIEWED ARTICLES

MILESTONES

INTERNATIONAL PRESS COVERAGE

BY TOP MEDIA

BEST PAPER AWARDAT FICC2018

1

WINNERS OF GAME CHURN PREDICTION

CONTEST IEEE NCSOFT

CMU APLICANTS FOR SUMMER INTERNSHIP

+40

7 PEER-REVIEWED ARTICLES PUBLISHED IN TOP MACHINE

LEARNING CONFERENCES

WHAT IS THE MEDIA SAYING ABOUT US?

“Game Makers AreProfiling Players to Keep

Them Hooked”

“An algorithm that knowswhen you'll get bored withyour favourite video game”

“The next generation of video games will use AI to

personalize your experience”

“Game makers deploydeep-learning AI algorithmsto keep players coming back

for more”

“Data scientists are already workingon ways to leverage historical datato create a model for prediction ofwhen a player will stop playing.”

“This algorithm canpredict users' affinity

towards video games”

CONTACT

WWW.YOKOZUNADATA.COM

INFO@YOKOZUNADATA.COM

A KEYWORDS STUDIO

YOKOZUNA data