Results 21 to 30 of about 3,473 (211)
Advanced customer churn prediction for a music streaming digital marketing service using attention graph-based deep learning approach [PDF]
Customer 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
doaj +2 more sources
A predictive analytics approach to improve telecom's customer retention [PDF]
Customer 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
doaj +2 more sources
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
No industry can thrive without customers and with customers comes the chances of customer churn. Since customer churn have direct-impact on the revenue, all the industries are focusing in understanding the factors influencing churn and are developing ...
Manish Mohan, Anil Jadhav
doaj +1 more source
A Stacking-Based Data Mining Solution to Customer Churn Prediction [PDF]
In today’s competitive world, organizations are in a constant struggle to retain their current customers while attracting new customers through various methods. Customer churn is a major challenge in different industries and companies.
Seyyedamiri, N. +4 more
core +1 more source
Telecom Churn Prediction System Based on Ensemble Learning Using Feature Grouping
In recent years, the telecom market has been very competitive. The cost of retaining existing telecom customers is lower than attracting new customers.
Tianpei Xu, Ying Ma, Kangchul Kim
doaj +1 more source
FORECASTING CUSTOMER FUTURE BEHAVIOR IN RETAIL BUSINESS USING MACHINE LEARNING MODELS
The ability to forecast customers’ future purchases, lifetime value, and churn are fundamental tasks in business management. These tasks become more complicated when the relationship between customers and business is not contractual.
Shyngys Akhmetbek
doaj +1 more source
Customer churn describes terminating a relationship with a business or reducing customer engagement over a specific period. Customer acquisition cost can be five to six times that of customer retention, hence investing in customers with churn risk is ...
David Hason Rudd, Huan Huo, Guandong Xu
doaj +1 more source
Customer churn will cause the value flowing from customers to enterprises to decrease. If customer churn continues to occur, the enterprise will gradually lose its competitive advantage.
Ming Zhao +4 more
doaj +1 more source
A Data-Driven Approach to Improve Customer Churn Prediction Based on Telecom Customer Segmentation
Numerous valuable clients can be lost to competitors in the telecommunication industry, leading to profit loss. Thus, understanding the reasons for client churn is vital for telecommunication companies.
Tianyuan Zhang +2 more
doaj +1 more source

