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In subscription-based businesses, the churn rate refers to the percentage of customers who discontinue their subscriptions within a given time period. Particularly, in the mobile games industry, the churn rate is often pronounced due to the…

Machine Learning · Computer Science 2021-04-13 Kihoon Jang , Junwhan Kim , Byunggu Yu

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

Digital games are one of the major and most important fields on the entertainment domain, which also involves cinema and music. Numerous attempts have been done to improve the quality of the games including more realistic artistic…

Artificial Intelligence · Computer Science 2017-06-12 Marcelo Souza Nery , Roque Anderson Teixeira , Victor do Nascimento Silva , Adriano Alonso Veloso

User churn is an important issue in online services that threatens the health and profitability of services. Most of the previous works on churn prediction convert the problem into a binary classification task where the users are labeled as…

Machine Learning · Computer Science 2019-09-17 Ali Khodadadi , Seyed Abbas Hosseini , Ehsan Pajouheshgar , Farnam Mansouri , Hamid R. Rabiee

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

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

The development of Internet technologies enables software developers to build virtual worlds such as Massively Multi-Player Online Role-Playing Games (MMORPGs). The population of such games shows super-linear growing tendency. It is…

Networking and Internet Architecture · Computer Science 2013-02-05 Juhoon Kim , Nikolaos Chatzis , Matthias Siebke , Anja Feldmann

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

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 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

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

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

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

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

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

The analysis of user behavior in digital games has been aided by the introduction of user telemetry in game development, which provides unprecedented access to quantitative data on user behavior from the installed game clients of the entire…

Human-Computer Interaction · Computer Science 2014-07-16 Anders Drachen , Christian Thurau , Rafet Sifa , Christian Bauckhage

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 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

Game companies avoid sharing their game data with external researchers. Only a few research groups have been granted limited access to game data so far. The reluctance of these companies to make data publicly available limits the wide use…

It becomes a significant challenge to predict customer behavior and retain an existing customer with the rapid growth of digitization which opens up more opportunities for customers to choose from subscription-based products and services…

Machine Learning · Computer Science 2023-03-03 Jitendra Maan , Harsh Maan
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