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An effective strategy for churn prediction and customer profiling

Year: 2022

Type: article

Source: Data & Knowledge Engineering

DOI: 10.1016/j.datak.2022.102100

Authors: Louis Geiler, Séverine Affeldt, Mohamed Nadif

Institutions: Université Paris Cité, Centre Borelli

Language: English

Topic: Customer churn and segmentation

Subfield: Marketing

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: bronze

OpenAlex ID: W4306654997

FWCI: 3.575

Cites: 109

Cited by: 23

Related to: 10