Strategic Insights into Customer Diversity: Unraveling Purchase Patterns, Income Disparities, and Relationship Dynamics through K-means Clustering for Enhanced Engagement and Loyalty

This research paper explores the integral role of customer segmentation in modern marketing strategies, emphasizing its significance in understand-ing and catering to diverse customer needs. Acknowledging Exploratory Data Analysis (EDA) as a crucial preliminary step, the study investigates how EDA acts as a catalyst for effective segmentation algorithms by un-veiling hidden patterns in raw data. Through empirical evidence and case studies, the paper demonstrates the transformative impact of incorporat-ing EDA before deploying segmentation models. The results underscore the necessity of a robust EDA framework to extract actionable insights, enhancing the precision of targeted marketing efforts and aligning seg-mentation strategies with real-world customer dynamics. This research contributes valuable insights for practitioners and researchers seeking to optimize marketing strategies through a holistic approach that combines customer segmentation with exploratory data analysis.

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Publication Details

Journal
Procedia Computer Science
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procs.2025.03.301
Citations
2
Primary Topic
Consumer Retail Behavior Studies
Type
article
Field-Weighted Citation Impact
4.15
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article

Strategic Insights into Customer Diversity: Unraveling Purchase Patterns, Income Disparities, and Relationship Dynamics through K-means Clustering for Enhanced Engagement and Loyalty

Jyoti Gupta, Rupali Satsangi, Preeti Manani, Shraddha Sharma et al.
2 citations
Procedia Computer Science
Consumer Retail Behavior Studies
4.15
article

Strategic Insights into Customer Diversity: Unraveling Purchase Patterns, Income Disparities, and Relationship Dynamics through K-means Clustering for Enhanced Engagement and Loyalty

Jyoti Gupta, Rupali Satsangi, Preeti Manani, Shraddha Sharma, Priti Sharma
article en
2 citations

Abstract

This research paper explores the integral role of customer segmentation in modern marketing strategies, emphasizing its significance in understand-ing and catering to diverse customer needs. Acknowledging Exploratory Data Analysis (EDA) as a crucial preliminary step, the study investigates how EDA acts as a catalyst for effective segmentation algorithms by un-veiling hidden patterns in raw data. Through empirical evidence and case studies, the paper demonstrates the transformative impact of incorporat-ing EDA before deploying segmentation models. The results underscore the necessity of a robust EDA framework to extract actionable insights, enhancing the precision of targeted marketing efforts and aligning seg-mentation strategies with real-world customer dynamics. This research contributes valuable insights for practitioners and researchers seeking to optimize marketing strategies through a holistic approach that combines customer segmentation with exploratory data analysis.

Procedia Computer ScienceVol. 259
Dayalbagh Educational Institute (IN), University College for Women (IN), Pandit Deendayal Energy University (IN)
No poverty
Openalex Percentile: Top 7%
Consumer Retail Behavior Studies
4.15
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Strategic Insights into Customer Diversity: Unraveling Purchase Patterns, Income Disparities, and Relationship Dynamics through K-means Clustering for Enhanced Engagement and Loyalty — Jyoti Gupta, Rupali Satsangi, et al. · Procedia Computer Science (2025) | TGRS Research Map | TGRS