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Predicting High-Value Customers in a Portuguese Wine Company

dc.contributor.authorSobreiro, Pedro
dc.contributor.authorMartinho, Domingos
dc.contributor.authorPratas, Antonio
dc.contributor.authorGarcia-Alonso, Jose
dc.contributor.authorBerrocal, Javier
dc.date.accessioned2020-07-24T16:19:41Z
dc.date.available2020-07-24T16:19:41Z
dc.date.issued2019
dc.description.abstractWine companies operate in a very competitive environment in which they must provide better-customised services and products to survive and gain advantage. The high customer turnover rate is a problem for these companies. This work aims to provide wine companies with new knowledge about customers that help to retain the existing ones. The study applies a collected dataset from a transaction database in a medium-sized ortuguese wine company to determinate: (1) customer lifetime value; (2) cluster customer value as output (customer loyalty). The measurement of the customer lifetime value (CLV) was analysed using the Pareto/NBD model and gamma-gamma model. Clustering techniques are employed to segment customers according to Recency, Frequency, and Monetary (RFM) values. Study findings show that exists three clusters with different interest to the marketing strategies, identifying the high-value customers, to target using marketing to increase their lifetime value effectively. The implications for the marketing strategy decisions is that using techniques based on the RFM model can make the most from data of customers and transactions databases and thus create sustainable advantages.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.issn1929-7092/19
dc.identifier.urihttp://hdl.handle.net/10400.26/32996
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relation.publisherversionhttps://lifescienceglobal.com/independent-journals/journal-of-reviews-on-global-economics/volume-8/85-abstract/jrge/3914-abstract-predicting-high-value-customers-in-a-portuguese-wine-companypt_PT
dc.subjectCustomer lifetime valuept_PT
dc.subjectclusteringpt_PT
dc.subjectwine marketingpt_PT
dc.subjectRFM model.pt_PT
dc.titlePredicting High-Value Customers in a Portuguese Wine Companypt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage1740pt_PT
oaire.citation.issue2019pt_PT
oaire.citation.startPage1732pt_PT
oaire.citation.titleJournal of Reviews on Global Economicspt_PT
oaire.citation.volume8pt_PT
person.familyNameSobreiro
person.familyNameMartinho
person.familyNamePratas
person.givenNamePedro
person.givenNameDomingos
person.givenNameAntonio
person.identifier.ciencia-idBB1F-BE0D-7909
person.identifier.ciencia-idDF14-D953-4D04
person.identifier.ciencia-idBC1F-6ED8-692E
person.identifier.orcid0000-0003-3971-3545
person.identifier.orcid0000-0002-5887-4814
person.identifier.orcid0000-0001-7870-8373
person.identifier.scopus-author-id57188867168
person.identifier.scopus-author-id57202938108
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication0892d734-fa80-4b15-87b8-493c10a72f72
relation.isAuthorOfPublicationc5d125b8-0dad-4298-807c-a24cd9780b32
relation.isAuthorOfPublication5a86f089-c589-42fd-a57f-e08caf2d636c
relation.isAuthorOfPublication.latestForDiscovery0892d734-fa80-4b15-87b8-493c10a72f72

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