Customer Segmentation Using Rfm Analysis: Real Case Application on a Fuel Company

dc.contributor.author Ucal Sarı, İrem
dc.contributor.author Sergi, Duygu
dc.contributor.author Ozkan, Burcu
dc.date.accessioned 2021-10-08T19:48:45Z
dc.date.available 2021-10-08T19:48:45Z
dc.date.issued 2020
dc.description.abstract Customer segmentation is an important research area that helps organizations to improve their services according to customer needs. With the increased information that shows customer attitudes, it is much easier and also more necessary than before to analyze customer responses on different campaigns. Recency, frequency, and monetary (RFM) analysis allows us to segment customers according to their common features. In this chapter, customer segmentation and RFM analysis are explained first, then a real case application of RFM analysis on customer segmentation for a Fuel company is presented. At the end of the application part, possible strategies for the company are generated.
dc.identifier.citation Sari, I.U., Sergi, D. and Ozkan, B. (2020), "Customer Segmentation Using RFM Analysis: Real Case Application on a Fuel Company", Kumari, S., Tripathy, K.K. and Kumbhar, V. (Ed.) Application of Big Data and Business Analytics, Emerald Publishing Limited, Bingley, pp. 139-158. https://doi.org/10.1108/978-1-80043-884-220211009
dc.identifier.doi 10.1108/978-1-80043-884-220211009
dc.identifier.isbn 9781800438859
dc.identifier.isbn 9781800438842
dc.identifier.uri https://hdl.handle.net/20.500.11779/1564
dc.identifier.uri https://doi.org/10.1108/978-1-80043-884-220211009
dc.language.iso en
dc.publisher Emerald Publishing Limited.
dc.rights info:eu-repo/semantics/closedAccess
dc.subject Recency, frequency, and monetary analysis
dc.subject Customer segmentation
dc.subject Real case study
dc.subject B2C
dc.title Customer Segmentation Using Rfm Analysis: Real Case Application on a Fuel Company
dc.type Book Part
dspace.entity.type Publication
gdc.author.id Duygu Sergi / 0000-0003-1636-0230
gdc.author.institutional Sergi, Duygu
gdc.bip.impulseclass C5
gdc.bip.influenceclass C5
gdc.bip.popularityclass C5
gdc.coar.access metadata only access
gdc.coar.type text::book::book part
gdc.description.department Mühendislik Fakültesi, Endüstri Mühendisliği Bölümü
gdc.description.publicationcategory Kitap Bölümü - Uluslararası
gdc.description.scopusquality N/A
gdc.description.startpage 139-158
gdc.description.wosquality N/A
gdc.identifier.openalex W3108581929
gdc.oaire.diamondjournal false
gdc.oaire.impulse 2.0
gdc.oaire.influence 2.8187168E-9
gdc.oaire.isgreen false
gdc.oaire.popularity 3.5619776E-9
gdc.oaire.publicfunded false
gdc.openalex.fwci 2.64728485
gdc.openalex.normalizedpercentile 0.91
gdc.openalex.toppercent TOP 10%
gdc.opencitations.count 2
gdc.plumx.crossrefcites 2
gdc.plumx.mendeley 16
gdc.plumx.scopuscites 3
gdc.publishedmonth Kasım
gdc.relation.journal Application of Big Data and Business Analytics
gdc.virtual.author Sergi, Duygu
gdc.wos.publishedmonth Kasım
gdc.yokperiod YÖK - 2020-21
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relation.isAuthorOfPublication.latestForDiscovery 4cfc77f9-9735-438e-855e-5047a0e5295d
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