Data-Driven Persona: How Business Intelligence Analytics Enhance Customer Experience for US Small and Medium Enterprises (SMEs)

This research focuses on the use of Business Intelligence (BI) analytics among small and medium-sized enterprises (SMEs) and how these analytics aid in tailoring interactions with customers improve loyalty metrics such as click-through rates (CTR), customer lifetime value (CLV), and repeat purchase rates. The study conducted a thematic analysis of journal articles, books, and conference papers with specific search strategies and inclusion criteria aimed at relevance within the SME framework. Key Thematic analysis points to four major strategies: segmentation and profiling capture numerous data points, personalized content generation, optimization of touchpoints within the customer journey, and measurable metrics improvements in loyalty through BI adoption. Implications: The study showcases implemented strategically that BI tools increase engagement facilitate active loyalty, thus improving performance, enhancing competitiveness of the SME. Additional empirical studies are necessary to confirm the findings across various SME industries, as well as devise strategies for SMEs that incorporate scalable and affordable BI solutions.

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Publication Details

Journal
Journal of Computer Science and Technology Studies
Published
2025-08-30
DOI
https://doi.org/10.32996/jcsts.2025.7.9.24
Primary Topic
Persona Design and Applications
Type
article
Field-Weighted Citation Impact
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article

Data-Driven Persona: How Business Intelligence Analytics Enhance Customer Experience for US Small and Medium Enterprises (SMEs)

Nayeema Nusrat, Mehedi Hasan, Md. Rakib Hasan, Kazi Obaidur Rahman et al.
Journal of Computer Science and Technology Studies
Persona Design and Applications
article

Data-Driven Persona: How Business Intelligence Analytics Enhance Customer Experience for US Small and Medium Enterprises (SMEs)

Nayeema Nusrat, Mehedi Hasan, Md. Rakib Hasan, Kazi Obaidur Rahman, Shoaib Ahmed, Rezwanul Islam Rezvi, Farhan Nasrullah, Mir Protik
article en

Abstract

This research focuses on the use of Business Intelligence (BI) analytics among small and medium-sized enterprises (SMEs) and how these analytics aid in tailoring interactions with customers improve loyalty metrics such as click-through rates (CTR), customer lifetime value (CLV), and repeat purchase rates. The study conducted a thematic analysis of journal articles, books, and conference papers with specific search strategies and inclusion criteria aimed at relevance within the SME framework. Key Thematic analysis points to four major strategies: segmentation and profiling capture numerous data points, personalized content generation, optimization of touchpoints within the customer journey, and measurable metrics improvements in loyalty through BI adoption. Implications: The study showcases implemented strategically that BI tools increase engagement facilitate active loyalty, thus improving performance, enhancing competitiveness of the SME. Additional empirical studies are necessary to confirm the findings across various SME industries, as well as devise strategies for SMEs that incorporate scalable and affordable BI solutions.

Journal of Computer Science and Technology StudiesVol. 7(9)
American International University-Bangladesh (BD), Montclair State University (US), DeVry University (US), Jagannath University (BD), University of Education (PK), Gannon University (US)
Openalex Percentile: Top 77%
Persona Design and Applications
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