Results 11 to 20 of about 22,947 (200)
Integrated Churn Prediction and Customer Segmentation Framework for Telco Business
IEEE Access, 2021 In the telco industry, attracting new customers is no longer a good strategy since the cost of retaining existing customers is much lower. Churn management becomes instrumental in the telco industry.
Shuli Wu +3 more
doaj +3 more sources
Improving bank customer churn prediction with feature reduction using GA [PDF]
Scientific ReportsCustomer churn is one complex problem that all banking institutes struggle to deal with. The increased competition in the industry is forcing the banks to maintain customer loyalty by providing apt services to the demanding customers.
Nisha T N, Dhanya Pramod
doaj +2 more sources
International Journal for Research in Engineering Application & ManagementOur work focuses on applying supervised machine learning techniques to anticipate bank client attrition. We created a straightforward and effective strategy that works with a variety of machine learning techniques. We tested many methods through tests and discovered that the Decision Tree strategy was the most effective in forecasting client attrition.
Lavina Anand Parulekar +3 more
+7 more sources
Journal of Information and Organizational Sciences, 2022 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
Connection Science, 2022 Owing to saturated markets, fierce competition, dynamic criteria, along with introduction of new attractive offers, the considerable issue of customer churn was faced by the telecommunication industry.
R. Sudharsan, E. N. Ganesh
doaj +1 more source
Telecom Churn Prediction System Based on Ensemble Learning Using Feature Grouping
Applied Sciences, 2021 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
Human-Centric Intelligent Systems, 2022 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
FORECASTING CUSTOMER FUTURE BEHAVIOR IN RETAIL BUSINESS USING MACHINE LEARNING MODELS
Scientific Journal of Astana IT University, 2022 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
A Data-Driven Approach to Improve Customer Churn Prediction Based on Telecom Customer Segmentation
Future Internet, 2022 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
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT, 2023 Customer churn, the termination of customer relationships with a business or service, is a critical metric that profoundly impacts a company's success. Effectively managing churn not only prevents revenue loss but also provides a competitive advantage by boosting customer retention rates.
openaire +2 more sources