Results 11 to 20 of about 639,400 (197)

Customer churn prediction for telecommunication industry: A Malaysian Case Study [version 1; peer review: 2 approved] [PDF]

open access: yesF1000Research, 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

Customer churn prediction using composite deep learning technique [PDF]

open access: yesScientific 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   +5 more
doaj   +2 more sources

Integrated Churn Prediction and Customer Segmentation Framework for Telco Business

open access: yesIEEE 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.
Thian Song Ong   +2 more
exaly   +3 more sources

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

open access: yesConnection 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
exaly   +2 more sources

Machine learning based customer churn prediction in home appliance rental business [PDF]

open access: yesJournal 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
doaj   +2 more sources

Customer Churn Analysis: Analyzing Customer Churn Determinants on an ISP Company in Indonesia

open access: yesBuletin Pos dan Telekomunikasi: Media Komunikasi Ilmiah, 2021
The growth of Internet Service Providers (ISP) in Indonesia, has led Indonesia to be one of the world’s fastest-growing telecommunications market. This condition derives a number of internet service providers pushing the Indonesian market massively one ...
Nisrina Salma, Atik Aprianingsih, Ph.D
doaj   +3 more sources

Negative Correlation Learning for Customer Churn Prediction: A Comparison Study [PDF]

open access: yesThe 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
doaj   +2 more sources

Not All Churn Customers Are the Same: Investigating the Effect of Customer Churn Heterogeneity on Customer Value in the Financial Sector

open access: yesSustainability, 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 Customer Profiling Methodology for Churn Prediction [PDF]

open access: yes, 2008
As markets have become increasingly saturated, companies have acknowledged that their business strategies need to focus on identifying those customers who are most likely to churn. To address this, a method is required that can identify these customers,
Hadden, John
core   +7 more sources

A predictive analytics approach to improve telecom's customer retention [PDF]

open access: yesFrontiers in Artificial Intelligence
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

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