Predicting Player Turnover in Mobile Multiplayer Games Using Survival Models
Frank James 2025-02-07

Predicting Player Turnover in Mobile Multiplayer Games Using Survival Models

Thanks to Frank James for contributing the article "Predicting Player Turnover in Mobile Multiplayer Games Using Survival Models".

Predicting Player Turnover in Mobile Multiplayer Games Using Survival Models

Gaming culture has transcended borders and languages, emerging as a vibrant global community that unites people from all walks of life under the banner of shared enthusiasm for interactive digital experiences. From casual gamers to hardcore enthusiasts, gaming has become a universal language, fostering connections, friendships, and even rivalries that span continents and time zones.

This study leverages mobile game analytics and predictive modeling techniques to explore how player behavior data can be used to enhance monetization strategies and retention rates. The research employs machine learning algorithms to analyze patterns in player interactions, purchase behaviors, and in-game progression, with the goal of forecasting player lifetime value and identifying factors contributing to player churn. The paper offers insights into how game developers can optimize their revenue models through targeted in-game offers, personalized content, and adaptive difficulty settings, while also discussing the ethical implications of data collection and algorithmic decision-making in the gaming industry.

Gaming's impact on education is profound, with gamified learning platforms revolutionizing how students engage with academic content. By incorporating game elements such as rewards, challenges, and progression systems into educational software, educators are able to make learning more interactive, enjoyable, and effective, catering to diverse learning styles and enhancing retention rates.

This paper examines the application of behavioral economics and game theory in understanding consumer behavior within the mobile gaming ecosystem. It explores how concepts such as loss aversion, anchoring bias, and the endowment effect are leveraged by mobile game developers to influence players' in-game spending, decision-making, and engagement. The study also introduces game-theoretic models to analyze the strategic interactions between developers, players, and other stakeholders, such as advertisers and third-party service providers, proposing new models for optimizing user acquisition and retention strategies in the competitive mobile game market.

This paper explores the use of mobile games as learning tools, integrating gamification strategies into educational contexts. The research draws on cognitive learning theories and educational psychology to analyze how game mechanics such as rewards, challenges, and feedback influence knowledge retention, motivation, and problem-solving skills. By reviewing case studies of mobile learning games, the paper identifies best practices for designing educational games that foster deep learning experiences while maintaining player engagement. The study also examines the potential for mobile games to address disparities in education access and equity, particularly in resource-limited environments.

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