Predicting Player Churn of a Free-to-Play Mobile Video Game Using Supervised Machine Learning

Predicting Player Churn of a Free-to-Play Mobile Video Game Using Supervised Machine Learning

Free-to-play mobile games monetize players through different business models, with higher player engagement leading to revenue increases. Consequently, the foremost goal of game designers and developers is to keep their audience engaged with the game for as long as possible. Studying and modeling pl...

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Bibliographic Details
Main Authors: Kuzma Mustač, Krešimir Bačić, Lea Skorin-Kapov, Mirko Sužnjević
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Applied Sciences
Subjects:
player churn
free-to-play
player behavior analysis
mobile game
machine learning
Online Access:https://www.mdpi.com/2076-3417/12/6/2795

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