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Customer segmantation utilization for differentiated approach.

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F16%3A39901262" target="_blank" >RIV/00216275:25410/16:39901262 - isvavai.cz</a>

  • Result on the web

    <a href="http://ieeexplore.ieee.org/document/7557178/" target="_blank" >http://ieeexplore.ieee.org/document/7557178/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/DT.2016.7557178" target="_blank" >10.1109/DT.2016.7557178</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Customer segmantation utilization for differentiated approach.

  • Original language description

    Customer segmentation and customer relationship management generally is interesting subject to explore. One of the main reasons why we should focus on exploring this type of research is to notion of customer loyalty and profitability to increasing market share. Customer value can provide basic information for more targeted and personalized marketing. In this paper, combination of ABC and RFM (Recency, Frequency, and Monetary) is used to customer segmentation. What is unique is using data mining segmentation method later on to dividing customers to four segments. We used well known Two Step, Kohononen - maps and K-means methods. Results show possibility to use these combinations for customer segmentation and results for different segments can be used to explain marketing strategies of company.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the international conference on information and digital technologies 2016

  • ISBN

    978-1-4673-8860-3

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    227-233

  • Publisher name

    IEEE (Institute of Electrical and Electronics Engineers)

  • Place of publication

    New York

  • Event location

    Rzeszow

  • Event date

    Jul 5, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000389469300038