Customer churn prediction for telecommunication industry: A Malaysian Case Study [version 1; peer review: 2 approved] [PDF]
F1000Research, 2021 Background: Customer churn is a term that refers to the rate at which customers leave the business. Churn could be due to various factors, including switching to a competitor, cancelling their subscription because of poor customer service, or ...
Nurulhuda Mustafa +2 more
doaj +2 more sources
Machine learning based customer churn prediction in home appliance rental business [PDF]
Journal of Big Data, 2023 Customer churn is a major issue for large enterprises. In particular, in the rental business sector, companies are looking for ways to retain their customers because they are their main source of revenue.
Youngjung Suh
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Customer churn prediction model based on hybrid neural networks [PDF]
Sci RepIn today’s competitive market environment, accurately identifying potential churn customers and taking effective retention measures are crucial for improving customer retention and ensuring the sustainable development of an organization.
Xinyu Liu +4 more
semanticscholar +2 more sources
Negative Correlation Learning for Customer Churn Prediction: A Comparison Study [PDF]
The Scientific World Journal, 2015 Recently, telecommunication companies have been paying more attention toward the problem of identification of customer churn behavior. In business, it is well known for service providers that attracting new customers is much more expensive than retaining
Ali Rodan +4 more
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A novel classification algorithm for customer churn prediction based on hybrid Ensemble-Fusion model [PDF]
Sci RepNowadays, customer churn issues are becoming more and more important, which is one of the most important metrics for evaluating the health of a business it is difficult to measure success without measuring customer churn metrics. However, it has become a
Chenggang He, C. H. Ding
semanticscholar +2 more sources
Journal of Big DataClass imbalance is one of many problems of customer churn datasets. One of the common problems is class overlap, where the data have a similar instance between classes.
I Nyoman Mahayasa Adiputra +1 more
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Application of GWO-attention-ConvLSTM model in customer churn prediction and satisfaction analysis in customer relationship management [PDF]
HeliyonCustomer Relationship Management (CRM) is vital in modern business, aiding in the management and analysis of customer interactions. However, existing methods struggle to capture the dynamic and complex nature of customer relationships, as traditional ...
Hui Zhang, Weihua Zhang
semanticscholar +2 more sources
Sustainability, 2022 This research suggests a way to sustain a firm’s business by focusing on the economic aspects of relationship marketing by managing the heterogeneity of churn customers. In general, firms have regarded churn customers as a homogeneous segment, for they have not been conscious that churn ego can be various.
Hyunchul Ahn
exaly +2 more sources
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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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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