Results 11 to 20 of about 9,076 (200)

Predicting Customer Churn on OTT Platforms: Customers with Subscription of Multiple Service Providers

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
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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
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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
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CUSTOMER CHURN PREDICTION

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.
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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
Sundararajan, Abhijit, Gursoy, Kemal
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Customer churn prediction model: a case of the telecommunication market

ECONOMICS, 2022
The telecommunications market is well developed but is characterized by oversaturation and high levels of competition. Based on this, the urgent problem is to retain customers and predict the outflow of customer base by switching subscribers to the ...
Fareniuk Yana, Zatonatska Tetiana, Dluhopolskyi Oleksandr, Kovalenko Oksana   +3 more
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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
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A Prediction Model of Customer Churn considering Customer Value: An Empirical Research of Telecom Industry in China

Discrete Dynamics in Nature and Society, 2021
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, Qingjun Zeng, Ming Chang, Qian Tong, Jiafu Su   +4 more
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Fuzzy particle swarm optimization (FPSO) based feature selection and hybrid kernel distance based possibilistic fuzzy local information C-means (HKD-PFLICM) clustering for churn prediction in telecom industry

SN Applied Sciences, 2021
Customer churn has been considered as one of the key issues in the operations of the corporate business sector, as it influences the turnover directly.
C. K. Praseeda, B. L. Shivakumar
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Socio-Transactional Impact of Recency, Frequency, and Monetary Features oN Customers’ Behaviour in Telecoms’ Churn Prediction

Iraqi Journal for Computer Science and Mathematics, 2022
Due to the increasing competitiveness in telecom’s market, it has now become more necessary for operators to start building personal relationship with customers for targeted retention strategies.
Ayodeji O.J Ibitoye , Clement ONIME, Nashwan Dheyaa Zaki, olufade F.W Onifade   +3 more
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