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A comprehensive survey on customer churn analysis studies
Journal of Information and TelecommunicationThis paper presents a comprehensive survey of customer churn analysis studies. It begins by examining the customer journey and touchpoints, emphasizing their influence on churn behaviour.
Maryam Shahabikargar +4 more
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A Survey on Churn Analysis in Various Business Domains [PDF]
IEEE Access, 2020 In this paper, we 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 predictability of various industry/academic fields, there is a big difference in its definition and utilization ...
Jaehyun Ahn, Shinjin Kang
exaly +4 more sources
International Journal for Research in Applied Science and Engineering Technology, 2023 Abstract: Customer churn analysis is a critical process for businesses to understand the reasons why customers stop using their products or services. It involves examining customer data and identifying patterns that can indicate potential churn. By analyzing this data, businesses can take proactive measures to retaincustomers, such as improving the ...
Tahseen Begum +3 more
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Customer Churn Analysis: Analyzing Customer Churn Determinants on an ISP Company in Indonesia
Buletin Pos dan Telekomunikasi, 2021 The growth of Internet Service Providers (ISP) in Indonesia, has led Indonesia to be one of the world’s fastest-growing telecommunications market. This condition derives a number of internet service providers pushing the Indonesian market massively one of them is HELOSEL (pseudonym). With this condition, ISP can suffer from a loss of valuable customers
Nisrina Salma, Atik Aprianingsih, Ph.D
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Advanced customer churn prediction for a music streaming digital marketing service using attention graph-based deep learning approach [PDF]
Scientific ReportsCustomer churn poses a persistent threat to the sustainability of music streaming platforms, where user disengagement often occurs unpredictably. Most existing churn prediction methods fail to integrate relational dependencies among users or address the ...
Haiyan Cheng, Jie He
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Churn prediction analysis of telecom customers using svm, random forest and logistic regression models using orange data mining tools [PDF]
E3S Web of ConferencesThis research aims to apply classification algorithms to telecommunication customer churn data using Orange Data Mining. The methods used include Support Vector Machine (SVM), Random Forest and Logistic Regression. The dataset used is secondary data, the
Nurtriana Ana +3 more
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A predictive analytics approach to improve telecom's customer retention [PDF]
Frontiers in Artificial IntelligenceCustomer retention is a critical challenge for telecom companies, and understanding customer churn can significantly improve business strategies. This paper focuses on developing an accurate predictive model to identify potential customer churn using ...
Asem Omari +3 more
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Customer Churn Analysis in Telecom Organization
International Journal For Multidisciplinary ResearchThis research focuses into analyzing and forecasting customer turnover within the telecom business by applying modern data analytics and machine learning approaches. Our objective is to create strong prediction models that can accurately detect prospective customers who are likely to churn at early stage.
Utkarsh Kumar - +2 more
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TempODEGraphNet: predicting user churn using dynamic social graphs and neural ODEs. [PDF]
PLoS ONEResearch on user churn prediction has been conducted across various domains for a long time. Among these, the gaming domain is characterized by its potential for diverse types of interactions between users.
Minseop Lee, Jiyoung Woo
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Churn Prediction for High-Value Players in Freemium Mobile Games: Using Random Under-Sampling [PDF]
Statistika: Statistics and Economy Journal, 2022 Many game development companies use game data analysis for mining insights about users' behaviour and possible product growth. One of the most important analysis tasks for game development is user churn prediction.
Guan-Yuan Wang
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