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

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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Publication Details

Journal
Journal of Computer Science and Technology Studies
Published
2025-04-05
DOI
https://doi.org/10.32996/jcsts.2023.5.4.25
Citations
1
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
2.28
Controls
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article

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

A. Jain
1 citations
Journal of Computer Science and Technology Studies
Big Data and Business Intelligence
2.28
article

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

A. Jain
article en
1 citations

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.

Journal of Computer Science and Technology StudiesVol. 7(2)
Film Independent (US)
Openalex Percentile: Top 13%
Big Data and Business Intelligence
2.28
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The Role of Predictive Analytics in E-Commerce Conversion Rate Optimization — A. Jain · Journal of Computer Science and Technology Studies (2025) | TGRS Research Map | TGRS