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Predicting Purchasing Probability of E-Commerce Customers

Author

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  • Ritambhara Jha

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.

Suggested Citation

  • Ritambhara Jha, 2023. "Predicting Purchasing Probability of E-Commerce Customers," Journal of Business and Strategic Management, CARI Journals Limited, vol. 8(7), pages 19-28.
  • Handle: RePEc:bhx:ojjbsm:v:8:y:2023:i:7:p:19-28:id:1590
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    File URL: https://www.carijournals.org/journals/index.php/JBSM/article/view/1590/1956
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