Development of a Data-Based Customer Relationship Management (CRM) Model to Increase Customer Loyalty in the E-commerce Sector

The rapid growth of the e-commerce sector has intensified the need for effective Customer Relationship Management (CRM) systems to enhance customer loyalty. This study aims to develop a data-based CRM model tailored for the e-commerce industry, emphasizing the integration of personalized communication, data-driven insights, and responsiveness. A quantitative approach was employed, with data collected from 60 respondents using a Likert scale of 1 to 5. The data were analyzed using SPSS version 25. Findings reveal significant positive relationships between CRM components and customer loyalty, with data-driven insights emerging as the most influential predictor. This study contributes to the literature by providing actionable insights and a validated framework for leveraging CRM practices in e-commerce. The findings underscore the importance of data integration, personalization, and responsive customer engagement to foster loyalty and gain a competitive advantage in the evolving digital marketplace.

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Publication Details

Journal
West Science Information System and Technology
Published
2024-12-31
DOI
https://doi.org/10.58812/wsist.v2i03.1523
Primary Topic
Customer Service Quality and Loyalty
Type
article
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article

Development of a Data-Based Customer Relationship Management (CRM) Model to Increase Customer Loyalty in the E-commerce Sector

Heppy Agustiana Vidyastuti, Loso Judijanto, Mesak Yandri Masela, Rini Hadiyati
West Science Information System and Technology
Customer Service Quality and Loyalty
article

Development of a Data-Based Customer Relationship Management (CRM) Model to Increase Customer Loyalty in the E-commerce Sector

Heppy Agustiana Vidyastuti, Loso Judijanto, Mesak Yandri Masela, Rini Hadiyati
article en

Abstract

The rapid growth of the e-commerce sector has intensified the need for effective Customer Relationship Management (CRM) systems to enhance customer loyalty. This study aims to develop a data-based CRM model tailored for the e-commerce industry, emphasizing the integration of personalized communication, data-driven insights, and responsiveness. A quantitative approach was employed, with data collected from 60 respondents using a Likert scale of 1 to 5. The data were analyzed using SPSS version 25. Findings reveal significant positive relationships between CRM components and customer loyalty, with data-driven insights emerging as the most influential predictor. This study contributes to the literature by providing actionable insights and a validated framework for leveraging CRM practices in e-commerce. The findings underscore the importance of data integration, personalization, and responsive customer engagement to foster loyalty and gain a competitive advantage in the evolving digital marketplace.

West Science Information System and TechnologyVol. 2(03)
Universitas Muhammadiyah Luwuk Banggai (ID), Universitas Patria Artha (ID)
Openalex Percentile: Top 64%
Customer Service Quality and Loyalty
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Development of a Data-Based Customer Relationship Management (CRM) Model to Increase Customer Loyalty in the E-commerce Sector — Heppy Agustiana Vidyastuti, Loso Judijanto, et al. · West Science Information System and Technology (2024) | TGRS Research Map | TGRS