An empirical assessment of customer lifetime value models within data mining

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dc.authoridSISCI, MERVE / 0000-0001-7449-3571
dc.authoridSEYMEN, OMER FARUK / 0000-0003-2224-5546
dc.authorscopusid55322301200
dc.authorscopusid57204202468
dc.authorscopusid55628490900
dc.authorscopusid55628294300
dc.contributor.authorHızıroğlu, Abdülkadir
dc.contributor.authorŞişci, Merve
dc.contributor.authorCebeci, Halil Ibrahim
dc.contributor.authorSeymen, Ömer Faruk
dc.date.accessioned2022-02-15T16:57:50Z
dc.date.available2022-02-15T16:57:50Z
dc.date.issued2018
dc.departmentBakırçay Üniversitesien_US
dc.description.abstractCustomer lifetime value has been of significant importance to marketing researchers and practitioners in specifying the importance level of each customer. By means of segmentation which could be carried out using value-based characteristics it is indeed possible to develop tailored strategies for customers. In fact, approaches like data mining can facilitate extraction of critical customer knowledge for enhanced decision making. Although the literature has several analytical lifetime value models, comparative assessment of the existing models especially within the context of data mining seems a missing component. The aim of this paper is to compare two different customer lifetime value models within data mining. The evaluation was carried out within the context of customer segmentation using a database of a company operating in retail sector. The results indicated that two models yield the same segmentation structure and no statistical differences detected on the select control variables. However, the remaining model produced rather different segmentation results than their peers and it was possible to identify the most lucrative model according to the statistical analyses that were carried out on the select control variables.en_US
dc.identifier.doi10.22364/bjmc.2018.6.4.08
dc.identifier.endpage448en_US
dc.identifier.issn2255-8942
dc.identifier.issn2255-8950
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-85054937333en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage434en_US
dc.identifier.urihttps://doi.org/10.22364/bjmc.2018.6.4.08
dc.identifier.urihttps://hdl.handle.net/20.500.14034/288
dc.identifier.volume6en_US
dc.identifier.wosWOS:000454525100008en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherUniv Latviaen_US
dc.relation.journalBaltic Journal Of Modern Computingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectcustomer lifetime valueen_US
dc.subjectcustomer segmentationen_US
dc.subjectlifetime value modellingen_US
dc.subjectdata miningen_US
dc.subjectcustomer analyticsen_US
dc.subjectSegmentationen_US
dc.subjectEquityen_US
dc.subjectRfmen_US
dc.subjectClven_US
dc.subjectFrameworken_US
dc.subjectCrmen_US
dc.titleAn empirical assessment of customer lifetime value models within data miningen_US
dc.typeArticleen_US

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