Predicting Purchasing Probability of E-Commerce Customers
DOI:
https://doi.org/10.47941/jbsm.1590Keywords:
E-Commerce, Advanced Linear Regression Concepts, Minitab Tool, Customer Purchasing PatternAbstract
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.
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Copyright (c) 2023 Ritambhara Jha
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