Research Article

The Role of Predictive Analytics in E-Commerce Conversion Rate Optimization

Authors

  • Aditi M Jain Independent researcher, Seattle, USA

Abstract

This paper explores the critical role of predictive analytics in optimizing conversion rates for e-commerce businesses. It examines various strategies, technologies, and methodologies used in predictive analytics, their implementation in e-commerce settings, and their impact on key performance indicators such as conversion rates, customer retention, and overall revenue. 

Article information

Journal

Journal of Computer Science and Technology Studies

Volume (Issue)

7 (2)

Pages

114-121

Published

2025-04-05

How to Cite

Aditi M Jain. (2025). The Role of Predictive Analytics in E-Commerce Conversion Rate Optimization. Journal of Computer Science and Technology Studies, 7(2), 114-121. https://doi.org/10.32996/jcsts.2023.5.4.25

Downloads

Views

176

Downloads

85

Keywords:

Natural Language Processing, Large Language Models, Fine-tuning, Few-shot learning, Zero-shot learning, Sen- timent Analysis, Cost-benefit Analysis, Resource Optimization, BERT, GPU Computing, Response Time, Model Deployment