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Related papers: On Analyzing Churn Prediction in Mobile Games

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The emergence of mobile games has caused a paradigm shift in the video-game industry. Game developers now have at their disposal a plethora of information on their players, and thus can take advantage of reliable models that can accurately…

Machine Learning · Statistics 2018-11-29 Paul Bertens , Anna Guitart , África Periáñez

Churn prediction, or the task of identifying customers who are likely to discontinue use of a service, is an important and lucrative concern of firms in many different industries. As these firms collect an increasing amount of large-scale,…

Machine Learning · Computer Science 2015-12-22 Muhammad R. Khan , Johua Manoj , Anikate Singh , Joshua Blumenstock

Reducing user attrition, i.e. churn, is a broad challenge faced by several industries. In mobile social games, decreasing churn is decisive to increase player retention and rise revenues. Churn prediction models allow to understand player…

Machine Learning · Statistics 2017-10-09 África Periáñez , Alain Saas , Anna Guitart , Colin Magne

In the free online game industry, churn prediction is an important research topic. Reducing the churn rate of a game significantly helps with the success of the game. Churn prediction helps a game operator identify possible churning players…

Human-Computer Interaction · Computer Science 2019-12-30 Wanshan Yang , Ting Huang , Junlin Zeng , Lijun Chen , Shivakant Mishra , Youjian , Liu

User churn, characterized by customers ending their relationship with a business, has profound economic consequences across various Business-to-Customer scenarios. For numerous system-to-user actions, such as promotional discounts and…

Machine Learning · Computer Science 2023-09-27 Shamik Bhattacharjee , Utkarsh Thukral , Nilesh Patil

Marketing literature states that it is more costly to engage a new customer than to retain an existing loyal customer. Churn prediction models are developed by academics and practitioners to effectively manage and control customer churn in…

Neural and Evolutionary Computing · Computer Science 2013-09-17 Anuj Sharma , Dr. Prabin Kumar Panigrahi

For sustainable growth and profitability, online game companies are constantly carrying out various events to attract new game users, to maximize return users, and to minimize churn users in online games. Because minimizing churn users is…

Human-Computer Interaction · Computer Science 2019-09-25 Kyoung Ho Kim , Huy Kang Kim

In this paper, I present churn prediction techniques that have been released so far. Churn prediction is used in the fields of Internet services, games, insurance, and management. However, since it has been used intensively to increase the…

Machine Learning · Computer Science 2020-12-03 Jaehuyn Ahn

In freemium games, the revenue from a player comes from the in-app purchases made and the advertisement to which that player is exposed. The longer a player is playing the game, the higher will be the chances that he or she will generate a…

Artificial Intelligence · Computer Science 2022-09-08 Jeppe Theiss Kristensen , Paolo Burelli

As mobile devices become more and more popular, mobile gaming has emerged as a promising market with billion-dollar revenues. A variety of mobile game platforms and services have been developed around the world. A critical challenge for…

Machine Learning · Computer Science 2019-01-21 Xi Liu , Muhe Xie , Xidao Wen , Rui Chen , Yong Ge , Nick Duffield , Na Wang

World of Warcraft is a massively multiplayer online video game released on November 23, 2004, by Blizzard Entertainment. In contrast with traditional games only having a single upfront fee to play, WoW also has a monthly subscription to…

Social and Information Networks · Computer Science 2020-07-02 Sulman Khan

We present the first empirical study on customer churn prediction in the scholarly publishing industry. The study examines our proposed method for prediction on a customer subscription data over a period of 6.5 years, which was provided by…

Machine Learning · Computer Science 2022-11-21 Michael Roberts , J. Ignacio Deza , Hisham Ihshaish , Yanhui Zhu

Mobile gaming has emerged as a promising market with billion-dollar revenues. A variety of mobile game platforms and services have been developed around the world. One critical challenge for these platforms and services is to understand…

Machine Learning · Computer Science 2018-10-12 Xi Liu , Muhe Xie , Xidao Wen , Rui Chen , Yong Ge , Nick Duffield , Na Wang

Considering the level of competition prevailing in Business-to-Consumer (B2C) E-Commerce domain and the huge investments required to attract new customers, firms are now giving more focus to reduce their customer churn rate. Churn rate is…

Information Retrieval · Computer Science 2021-12-20 Shini Renjith

In business retention, churn prevention has always been a major concern. This work contributes to this domain by formalizing the problem of churn prediction in the context of online gambling as a binary classification task. We also propose…

Machine Learning · Computer Science 2022-01-10 Florian Merchie , Damien Ernst

As video games attract more and more players, the major challenge for game studios is to retain them. We present a deep behavioral analysis of churn (game abandonment) and what we called "purchase churn" (the transition from paying to…

Machine Learning · Statistics 2020-03-10 Anna Guitart , Ana Fernández del Río , África Periáñez

Customer churn describes terminating a relationship with a business or reducing customer engagement over a specific period. Two main business marketing strategies play vital roles to increase market share dollar-value: gaining new and…

Machine Learning · Computer Science 2023-04-24 David Hason Rudd , Huan Huo , Guandong Xu

Customer churn prediction in the telecommunications sector represents a critical business intelligence task that has evolved from subjective human assessment to sophisticated algorithmic approaches. In this work, we present a comprehensive…

Applications · Statistics 2025-09-30 Xuhang Chen , Bo Lv , Mengqian Wang , Xunwen Xiang , Shiting Wu , Shenghong Luo , Wenjun Zhang

A practical churn customer prediction model is critical to retain customers for telecom companies in the saturated and competitive market. Previous studies focus on predicting churn customers in current or next month, in which telecom…

Information Retrieval · Computer Science 2019-11-05 Lingling Yang , Dongyang Li , Yao Lu

In this work, we presented the strategies and techniques that we have developed for predicting the near-future churners and win-backs for a telecom company. On a large-scale and real-world database containing customer profiles and some…

Computational Engineering, Finance, and Science · Computer Science 2012-10-26 Clifton Phua , Hong Cao , João Bártolo Gomes , Minh Nhut Nguyen
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