Business Analytics in Customer Lifetime Value: An Overview Analysis

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dc.authoridHiziroglu, Kadir/0000-0003-4582-3732
dc.authoridSEYMEN, OMER FARUK/0000-0003-2224-5546
dc.contributor.authorDogan, Onur
dc.contributor.authorHiziroglu, Abdulkadir
dc.contributor.authorPisirgen, Ali
dc.contributor.authorSeymen, Omer Faruk
dc.date.accessioned2025-03-20T09:51:25Z
dc.date.available2025-03-20T09:51:25Z
dc.date.issued2025
dc.departmentİzmir Bakırçay Üniversitesi
dc.description.abstractIn customer-oriented systems, customer lifetime value (CLV) has been of significant importance for academia and marketing practitioners, especially within the scope of analytical modeling. CLV is a critical approach to managing and organizing a company's profitability. With the vast availability of consumer data, business analytics (BA) tools and approaches, alongside CLV models, have been applied to gain deeper insights into customer behaviors and decision-making processes. Despite the recognized importance of CLV, there is a noticeable gap in comprehensive analyses and reviews of BA techniques applied to CLV. This study aims to fill this gap by conducting a thorough survey of the state-of-the-art investigations on CLV models integrated with BA approaches, thereby contributing to a research agenda in this field. The review methodology consists of three main steps: identification of relevant studies, creating a coding plan, and ensuring coding reliability. First, relevant studies were identified using predefined keywords. Next, a coding plan-one of the study's significant contributions-was developed to evaluate these studies comprehensively. Finally, the coding plan's reliability was tested by three experts before being applied to the selected studies. Additionally, specific evaluation criteria in the coding plan were implemented to introduce new insights. This study presents exciting and valuable results from various perspectives, providing a crucial reference for academic researchers and marketing practitioners interested in the intersection of BA and CLV.
dc.description.sponsorshipSakarya Universitesi, TUB1
dc.description.sponsorshipThis study was supported by Sakarya Universitesi, TUB1.
dc.identifier.doi10.1002/widm.1571
dc.identifier.issn1942-4787
dc.identifier.issn1942-4795
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85208195378
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1002/widm.1571
dc.identifier.urihttps://hdl.handle.net/20.500.14034/2534
dc.identifier.volume15
dc.identifier.wosWOS:001354544300001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherWiley Periodicals, Inc
dc.relation.ispartofWiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery
dc.relation.publicationcategoryDiğer
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WOS_20250319
dc.subjectbusiness analytics
dc.subjectcustomer analytics
dc.subjectcustomer lifetime value
dc.subjectcustomer lifetime value review
dc.subjectdata mining
dc.titleBusiness Analytics in Customer Lifetime Value: An Overview Analysis
dc.typeReview

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