Results 1 to 10 of about 1,692 (204)

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, Wei-Chuen Yau, Thian-Song Ong, Siew-Chin Chong   +3 more
doaj   +4 more sources

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, Lew Sook Ling, Siti Fatimah Abdul Razak   +2 more
doaj   +2 more sources

CUSTOMER CHURN PREDICTION [PDF]

International Journal for Research in Engineering Application & Management
Our 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, Prajkta Shriram Jamsandekar, Sampada Sanjay Parkar, Sawant S.P   +3 more
core   +8 more sources

A Swish RNN based customer churn prediction for the telecom industry with a novel feature selection strategy

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   +2 more sources

A Data-Driven Approach to Improve Customer Churn Prediction Based on Telecom Customer Segmentation [PDF]

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, Sérgio Moro, Ricardo F. Ramos   +2 more
doaj   +2 more sources

Customer churn prediction using composite deep learning technique [PDF]

Scientific Reports, 2023
Customer churn, a phenomenon that causes large financial losses when customers leave a business, makes it difficult for modern organizations to retain customers.
Asad Khattak, Zartashia Mehak, Hussain Ahmad, Muhammad Usama Asghar, Muhammad Zubair Asghar, Aurangzeb Khan   +5 more
doaj   +2 more sources

A novel customer churn prediction model for the telecommunication industry using data transformation methods and feature selection. [PDF]

PLoS ONE, 2022
Customer churn is one of the most critical issues faced by the telecommunication industry (TCI). Researchers and analysts leverage customer relationship management (CRM) data through the use of various machine learning models and data transformation ...
Joydeb Kumar Sana, Mohammad Zoynul Abedin, M Sohel Rahman, M Saifur Rahman   +3 more
doaj   +3 more sources

Advanced customer churn prediction for a music streaming digital marketing service using attention graph-based deep learning approach [PDF]

Scientific Reports
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

Intelligent Decision Forest Models for Customer Churn Prediction

Applied Sciences, 2022
Customer churn is a critical issue impacting enterprises and organizations, particularly in the emerging and highly competitive telecommunications industry.
Fatima Enehezei Usman-Hamza, Abdullateef Oluwagbemiga Balogun, Luiz Fernando Capretz, Hammed Adeleye Mojeed, Saipunidzam Mahamad, Shakirat Aderonke Salihu, Abimbola Ganiyat Akintola, Shuib Basri, Ramoni Tirimisiyu Amosa, Nasiru Kehinde Salahdeen   +9 more
doaj   +2 more sources

Telecom customer churn prediction

International Journal for Research in Applied Science and Engineering Technology, 2020
Customer churn is often referred to as customer attrition, or customer defection which is the rate at which the customers are lost. Telecom companies often use customer churn as a key business metrics to predict the number of customers that will leave a telecom service provider. Churn is significant in the telecommunication industry because it directly
Gursoy, Kemal, Sundararajan, Abhijit
core   +3 more sources