A Banking Platform to Leverage Data Driven Marketing with Machine Learning

dc.contributor
Universitat Ramon Llull. Esade
dc.contributor.author
Tabakovic, Amir
dc.contributor.author
Torrens, Marc
dc.date.accessioned
2026-02-19T14:11:56Z
dc.date.available
2026-02-19T14:11:56Z
dc.date.issued
2022
dc.identifier.issn
1099-4300
dc.identifier.uri
https://hdl.handle.net/20.500.14342/5009
dc.description.abstract
Payment data is one of the most valuable assets that retail banks can leverage as the major competitive advantage with respect to new entrants such as Fintech companies or giant internet companies. In marketing, the value behind data relates to the power of encoding customer preferences: the better you know your customer, the better your marketing strategy. In this paper, we present a B2B2C lead generation application based on payment transaction data within the online banking system. In this approach, the bank is an intermediary between its private customers and merchants. The bank uses its competence in Machine Learning driven marketing to build a lead generation application that helps merchants run data driven campaigns through the banking channels to reach retail customers. The bank’s retail customers trade the utility hidden in its payment transaction data for special offers and discounts offered by merchants. During the entire process banks protects the privacy of the retail customer.
dc.format.extent
22 p.
dc.language.iso
eng
dc.publisher
Multidisciplinary Digital Publishing Institute (MDPI)
dc.relation.ispartof
Entropy
dc.rights
© L'autor/a
dc.rights
Attribution 4.0 International
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
Banking
dc.title
A Banking Platform to Leverage Data Driven Marketing with Machine Learning
dc.type
info:eu-repo/semantics/article
dc.description.version
info:eu-repo/semantics/publishedVersion
dc.embargo.terms
cap
dc.identifier.doi
http://doi.org/10.3390/e24030347
dc.rights.accessLevel
info:eu-repo/semantics/openAccess


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