Results 21 to 30 of about 22,947 (200)

A Prediction Model of Customer Churn considering Customer Value: An Empirical Research of Telecom Industry in China

open access: yesDiscrete 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   +4 more
doaj   +1 more source

An Empirical Study on Customer Churn Behaviours Prediction Using Arabic Twitter Mining Approach

open access: yesFuture Internet, 2021
With the rising growth of the telecommunication industry, the customer churn problem has grown in significance as well. One of the most critical challenges in the data and voice telecommunication service industry is retaining customers, thus reducing ...
Latifah Almuqren   +2 more
doaj   +1 more source

Customer Churn Analysis

open access: yesInternational Journal for Research in Applied Science and Engineering Technology, 2023
Abstract: Customer churn analysis is a critical process for businesses to understand the reasons why customers stop using their products or services. It involves examining customer data and identifying patterns that can indicate potential churn. By analyzing this data, businesses can take proactive measures to retaincustomers, such as improving the ...
Tahseen Begum   +3 more
openaire   +1 more source

Intelligent data analysis approaches to churn as a business problem: a survey [PDF]

open access: yes, 2017
Globalization processes and market deregulation policies are rapidly changing the competitive environments of many economic sectors. The appearance of new competitors and technologies leads to an increase in competition and, with it, a growing ...
García Gómez, David   +2 more
core   +2 more sources

Customer Churn Prediction [PDF]

open access: yes, 2020
Churned customers identification plays an essential role for the functioning and growth of any business. Identification of churned customers can help the business to know the reasons for the churn and they can plan their market strategies accordingly to enhance the growth of a business. This research is aimed at developing a machine learning model that
openaire   +1 more source

A Model for Customer Churn Management of an Internet Service Provider [PDF]

open access: yesمطالعات مدیریت کسب و کار هوشمند, 2022
Customer churning is one of the most important issues facing Internet Service Providers in a competitive and rapidly saturating market. Due to the high costs associated with attracting new customers, ISPs have turned to a customer retention approach that
Sahar Amiri   +2 more
doaj   +1 more source

Churn prediction based on text mining and CRM data analysis [PDF]

open access: yes, 2014
Within quantitative marketing, churn prediction on a single customer level has become a major issue. An extensive body of literature shows that, today, churn prediction is mainly based on structured CRM data.
Heitz, Christoph   +2 more
core   +1 more source

CUSTOMER CHURN PREDICTION ANALYSIS

open access: yesINTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT, 2023
The Customers are the base of many successful businesses; thus, all the sectors are starting to understand how important it is to gain client satisfaction. The technical infrastructure has expanded quickly, changing how businesses operate. Due to growing business competition, the importance of marketing techniques, and customers' increasingly aware ...
E Padma Priya   +2 more
openaire   +1 more source

Telecom Customer Churn Prediction

open access: yesInternational 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
openaire   +2 more sources

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

open access: yesSN 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
doaj   +1 more source

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