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An effective strategy for churn prediction and customer profiling · Study

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ArticleAn effective strategy for churn prediction and customer profiling

Louis Geiler2022

OA

Articlebronze2022

An effective strategy for churn prediction and customer profiling

Louis Geiler · Séverine Affeldt · Mohamed Nadif

23 citations·0/0 files stored·Data & Knowledge Engineering

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Customer churn and segmentation Customer Service Quality and Loyalty AI and HR Technologies

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References

1992Measuring Service Quality: A Reexamination and Extension 1990Zero defections: quality comes to services.2014Beyond the hype: Big data concepts, methods, and analytics 1995Customer Switching Behavior in Service Industries: An Exploratory Study 2004Customer perceived value, satisfaction, and loyalty: The role of switching costs 2003The Impact of Customer Relationship Characteristics on Profitable Lifetime Duration 1989Managing quality: the strategic and competitive edge 2000Customer Satisfaction Cues To Support Market Segmentation and Explain Switching Behavior

Cited by

2024Application of machine learning techniques for churn prediction in the telecom business 2024Predicting early user churn in a public digital weight loss intervention 2025MNeuralTab: Integrating meta-modeling and neural networks for customer churn prediction in e-commerce 2023Application of Machine Learning in the Telecommunications Industry: Partial Churn Prediction by using a Hybrid Feature Selection Approach 2025Enhanced Framework to Predict Customer Churn Using Machine Learning

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Year2022

Typearticle

Published2022-10-17

VenueData & Knowledge Engineering

ISSN-L0169-023X

Languageen

Citations23

Files0 public / 0

ShelfCustomer churn and segmentation

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doi10.1016/j.datak.2022.102100

openalex_workW4306654997

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2024A Comparative Study on Customer Churn Analysis Using Machine Learning and Data Enrichment Techniques