CUSTOMER SEGMENTATION AND PURCHASING BEHAVIOR ANALYSIS: IMPLICATIONS FOR MARKETING STRATEGY

Abstract

This study examines customer segmentation and purchasing behavior to provide insights for improving marketingstrategies and business performance. Adopting a quantitative and empirical approach, the research analyzestransactional sales data to identify distinct customer segments and evaluate their contribution to overall sales. Customersare classified into high-value, moderate, and low-value segments based on total sales and purchase frequency, enablinga structured understanding of customer heterogeneity. Descriptive statistical analysis reveals significant variability intransaction values, indicating an uneven distribution of sales. The results demonstrate that a small proportion ofcustomers contributes disproportionately to total revenue, reflecting the Pareto principle. The study further explorespurchasing behavior across product categories and sub-categories, highlighting variations in customer preferences anddemand patterns. Findings indicate that sales are concentrated within specific categoriesand sub-categories, suggestingthat certain products play a dominant role in driving overall performance. Segment-wise analysis confirms that high-value customers contribute the largest share of revenue, emphasizing the importance of targeted marketing andcustomerretention strategies. The study contributes to existing literature by integrating customer segmentation with product-levelanalysis to provide a comprehensive understanding of customer behavior. The findings offer practical implications forbusinesses seeking to enhance marketing effectiveness, optimize resource allocation, and improve customer engagement.By adopting data-driven approaches, organizations can achieve sustainable competitive advantage and improveddecision-making in dynamic marketenvironments.