Predicting Purchasing Probability of E-Commerce Customers

Ritambhara Jha ()

Journal of Business and Strategic Management, 2023, vol. 8, issue 7, 19 - 28

Abstract: Purpose: Understanding consumer behavior and anticipating their purchase likelihood is crucial for businesses to flourish in today's competitive e-commerce market. Methodology: This paper describes a data- driven technique for predicting the possibility of e-commerce clients completing a purchase. The research begins with a thorough assessment of the current literature, emphasizing the importance of consumer behavior prediction in the e-commerce arena and explaining the difficulties associated with effectively anticipating purchase probability. Findings: The outcomes of this study provide a substantial contribution to the e-commerce business by giving concrete ideas for increasing customer interaction, optimizing marketing efforts, and tailoring personalized experiences. Unique contributor to theory, policy and practice: Based on this data research, people prefer mobile applications over websites for their online purchase needs due to search ability, accessibility, and other aspects.

Keywords: E-Commerce; Advanced Linear Regression Concepts; Minitab Tool; Customer Purchasing Pattern (search for similar items in EconPapers)
Date: 2023
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