A developing model for clustering and ranking bank customers Online publication date: Mon, 20-Jul-2015
by Khalil Sajjadi; Mohammad Ali Khatami-Firuzabadi; Maghsud Amiri; Jamshid Salehi Sadaghiani
International Journal of Electronic Customer Relationship Management (IJECRM), Vol. 9, No. 1, 2015
Abstract: Nowadays, there are a lot of customer-based companies and organisations, including banks, that are serving to present services and products to customers with different levels. Creating difference for various clusters of customers with ranking approach is done for obtaining different objectives. This paper has tried to cluster and rank the bank customers with developing RFM model from the perspective of facilities and deferred and making RFMLD model. Finally, by doing clustering process, it has put a vast domain of customers with an extensive spectrum into similar groups and has started ranking each cluster through simple weighted way. Explicating marketing policies peculiar to each cluster and determining target customers in private banking, company-based banking, customers club, campaign etc., through loyalty creation and preservation in them is one of this paper's applications.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Electronic Customer Relationship Management (IJECRM):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook