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

Authors

  • Aditi M Jain Independent researcher, Seattle, USA

DOI:

https://doi.org/10.32996/jcsts.2023.5.4.25

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

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. 

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Published

2025-04-05

Issue

Vol. 7 No. 2

Section

Research Article

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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