IDEAS home Printed from https://ideas.repec.org/a/eee/joreco/v19y2012i6p629-636.html
   My bibliography  Save this article

Cross-validation of segments of credit card holders

Author

Listed:
  • Martins, Maria Cristina M.S.G.
  • Cardoso, Margarida G.M.S.

Abstract

This work presents the segmentation of credit cards holders of a Portuguese financial institution. It is focused on the evaluation of the obtained solution via cross-validation. The proposed approach specifically handles a large data set with mixed (numerical and categorical) variables. It provides the evaluation of the internal stability of the segmentation solution and helps in characterizing the segments. Furthermore, it provides classification rules for new credit card holders. Finally, this work presents the credit card holders' segment profiles, helping to support ongoing and future strategic decisions.

Suggested Citation

  • Martins, Maria Cristina M.S.G. & Cardoso, Margarida G.M.S., 2012. "Cross-validation of segments of credit card holders," Journal of Retailing and Consumer Services, Elsevier, vol. 19(6), pages 629-636.
    • Handle: RePEc:eee:joreco:v:19:y:2012:i:6:p:629-636
    DOI: 10.1016/j.jretconser.2012.08.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0969698912001002
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jretconser.2012.08.004?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Otto, Philipp E. & Davies, Greg B. & Chater, Nick & Stott, Henry, 2009. "From spending to understanding: Analyzing customers by their spending behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 16(1), pages 10-18.
    2. Gregory Elliott & WILLIAM GLYNN, 1998. "Segmenting Financial Services Markets for Customer Relationships: A Portfolio-Based Approach," The Service Industries Journal, Taylor & Francis Journals, vol. 18(3), pages 38-54, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Leonard Paas, 2006. "Acquisition pattern analysis for evolutionary database marketing," The Service Industries Journal, Taylor & Francis Journals, vol. 29(6), pages 805-812, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:joreco:v:19:y:2012:i:6:p:629-636. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-retailing-and-consumer-services .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.