Results 21 to 30 of about 856,045 (240)

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.
Shuli Wu   +3 more
doaj   +1 more source

Improved Churn Causal Analysis Through Restrained High-Dimensional Feature Space Effects in Financial Institutions

open access: yesHuman-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

Telecom Churn Prediction System Based on Ensemble Learning Using Feature Grouping

open access: yesApplied 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

FORECASTING CUSTOMER FUTURE BEHAVIOR IN RETAIL BUSINESS USING MACHINE LEARNING MODELS

open access: yesScientific 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 novel classification algorithm for customer churn prediction based on hybrid Ensemble-Fusion model. [PDF]

open access: yesSci Rep
Nowadays, customer churn issues are becoming more and more important, which is one of the most important metrics for evaluating the health of a business it is difficult to measure success without measuring customer churn metrics. However, it has become a
He C, Ding CHQ.
europepmc   +2 more sources

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

open access: yesFuture 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

CUSTOMER CHURN PREDICTION

open access: yesINTERANTIONAL 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

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

Home - About - Disclaimer - Privacy