Winning Back Customers: AI-Powered Retention Strategies for E-Commerce

In the dynamic landscape of e-commerce, customer retention has emerged as a critical strategy for sustainable growth and profitability. While attracting new customers remains essential, retaining existing ones is often more cost-effective and can drive significant long-term value. This article examines how artificial intelligence (AI) is transforming customer retention through three primary mechanisms: churn prediction, customer segmentation, and personalized recommendation. By leveraging AI-driven insights and predictive analytics, e-commerce companies can anticipate customer behavior, segment their audience more precisely, and create personalized experiences that boost loyalty. This comprehensive review explores key AI methodologies and frameworks, evaluates current challenges, and discusses future opportunities for AI to reshape customer retention strategies in e-commerce.

Authors

Publication Details

Journal
DCCI journal of business and economic policy
Published
2024-11-30
DOI
https://doi.org/10.63784/djbep2024v1n1a2
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

Winning Back Customers: AI-Powered Retention Strategies for E-Commerce

Tahsina Farah Sanam
DCCI journal of business and economic policy
Big Data and Business Intelligence
article

Winning Back Customers: AI-Powered Retention Strategies for E-Commerce

Tahsina Farah Sanam
article en

Abstract

In the dynamic landscape of e-commerce, customer retention has emerged as a critical strategy for sustainable growth and profitability. While attracting new customers remains essential, retaining existing ones is often more cost-effective and can drive significant long-term value. This article examines how artificial intelligence (AI) is transforming customer retention through three primary mechanisms: churn prediction, customer segmentation, and personalized recommendation. By leveraging AI-driven insights and predictive analytics, e-commerce companies can anticipate customer behavior, segment their audience more precisely, and create personalized experiences that boost loyalty. This comprehensive review explores key AI methodologies and frameworks, evaluates current challenges, and discusses future opportunities for AI to reshape customer retention strategies in e-commerce.

DCCI journal of business and economic policyVol. 1(1)
Openalex Percentile: Top 52%
Big Data and Business Intelligence
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