مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

483
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

0
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

Identification of Dominant Customer Behavior Patterns among different Sectors over Time (Case Study: Ansar Bank)

Pages

  149-165

Abstract

 Due to increasing competition among banks, in order to attract new customers, understanding and predicting their behaviors are very critical. In order to analyze customer behavior, it is necessary to identify customers, distinguish between them, and recognize more valuable customers. To distinguish among customers, Segmentation concepts are used. A new issue that has recently been raised in customer Segmentation is considering dynamic behavior of customers. Based on the developments in IT, offering new banking services and the banks competitions to increase market share as well as the psychological and environmental factors the dynamics of customers’ behavior should be considered over time. Transferring customers to different sectors over time and discovering the dominant models in their displacements between sectors are one of the important topics in this context. Therefore, this article aims to identify the behavioral clusters, the dominant patterns of displacement, and the leading characteristics and patterns of customer displacements with a focus on the customer dynamics behavior of Ansar Bank. To this end, customers have been clustered and tagged in each of the time periods using the RFM variable. By sticking labels at each interval, the transmission patterns are obtained for the customer's behavior. Then, with the help of combination method clustering and Association Rules, patterns of behavior have been analyzed. Based on the results, four clusters of behaviors were identified: low-value customers with sustainable model, low-value customer with unsustainable profitability model, turned away customers with average profitability, loyal customers with low profitability and the relationships between them have been analyzed. The outcomes of this study can play a remarkable role for top managers to take appropriate marketing strategies.

Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    Gharib, Iman, TOLOIE ESHLAGHY, ABBAS, HEIDARZADEH HANZAEE, KAMBIZ, & RADFAR, REZA. (2019). Identification of Dominant Customer Behavior Patterns among different Sectors over Time (Case Study: Ansar Bank). NEW MARKETING RESEARCH JOURNAL, 8(4 (31) ), 149-165. SID. https://sid.ir/paper/194596/en

    Vancouver: Copy

    Gharib Iman, TOLOIE ESHLAGHY ABBAS, HEIDARZADEH HANZAEE KAMBIZ, RADFAR REZA. Identification of Dominant Customer Behavior Patterns among different Sectors over Time (Case Study: Ansar Bank). NEW MARKETING RESEARCH JOURNAL[Internet]. 2019;8(4 (31) ):149-165. Available from: https://sid.ir/paper/194596/en

    IEEE: Copy

    Iman Gharib, ABBAS TOLOIE ESHLAGHY, KAMBIZ HEIDARZADEH HANZAEE, and REZA RADFAR, “Identification of Dominant Customer Behavior Patterns among different Sectors over Time (Case Study: Ansar Bank),” NEW MARKETING RESEARCH JOURNAL, vol. 8, no. 4 (31) , pp. 149–165, 2019, [Online]. Available: https://sid.ir/paper/194596/en

    Related Journal Papers

    Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button