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

open access: yesScientific 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

A Survey on Churn Analysis in Various Business Domains

open access: yesIEEE Access, 2020
In this paper, we present churn prediction techniques that have been released so far. Churn prediction is used in the fields of Internet services, games, insurance, and management.
Jaehyun Ahn, Shinjin Kang
exaly   +3 more sources

Combining predictive accuracy and interpretability: a data-driven approach to telecom churn analysis [PDF]

open access: yesScientific Reports
Acquiring consumers is a challenge in the telecom industry since it reduces profits and slows growth. Customer churn prediction remains a pivotal challenge for telecommunications companies seeking to retain subscribers and sustain profitability in highly
Pankaj Hooda   +4 more
doaj   +2 more sources

Churn management in hospitality

open access: yesJournal of Big Data
This research paper presents a novel churn management approach tailored to the hospitality industry. Focused on enhancing customer retention, the proposed model consists of two integral pillars: churn identification and proactive action.
Rik van Leeuwen, Hieu Duc Do, Ger Koole
doaj   +3 more sources

An Approach to Churn Prediction for Cloud Services Recommendation and User Retention

open access: yesInformation, 2022
The digital world is very dynamic. The ability to timely identify possible vendor migration trends or customer loss risks is very important in cloud-based services.
José Saias   +2 more
doaj   +1 more source

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
doaj   +1 more source

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

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

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

open access: yesJournal 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
doaj   +1 more source

Relevant Drivers for Customers` Churn and Retention Decision in the Nigerian Mobile Telecommunication Industry [PDF]

open access: yesJournal of Competitiveness, 2016
The need for better support marketing decision on customers who are likely to leave a service provider for a competitor is very essential to the survival of most telecommunication firms.
Sulaimon Olanrewaju Adebiyi   +2 more
doaj   +1 more source

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