Data-Driven Marketing Reinvented: Leveraging AI for Smarter, Ethical, and Personalized Campaigns

The article explores the transformative impact of artificial intelligence on modern marketing practices, focusing on how AI-driven tools enable smarter, more ethical, and highly personalized campaigns. It examines how organizations leverage predictive analytics, autonomous campaign optimization, and sentiment analysis to enhance customer engagement while addressing privacy concerns through technologies like federated learning and differential privacy. The discussion spans the economic benefits of privacy-preserving AI, the importance of implementation maturity models, and the strategic integration of AI capabilities within enterprise management systems. Throughout, the article emphasizes how these innovations are reshaping traditional marketing strategies by enabling data-driven decision-making, improving operational efficiency, building consumer trust, and delivering measurable performance improvements across various marketing functions and industry sectors.

Authors

Publication Details

Journal
Journal of Computer Science and Technology Studies
Published
2025-05-01
DOI
https://doi.org/10.32996/jcsts.2025.7.3.16
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

Data-Driven Marketing Reinvented: Leveraging AI for Smarter, Ethical, and Personalized Campaigns

Thomas Mathew
Journal of Computer Science and Technology Studies
Big Data and Business Intelligence
article

Data-Driven Marketing Reinvented: Leveraging AI for Smarter, Ethical, and Personalized Campaigns

Thomas Mathew
article en

Abstract

The article explores the transformative impact of artificial intelligence on modern marketing practices, focusing on how AI-driven tools enable smarter, more ethical, and highly personalized campaigns. It examines how organizations leverage predictive analytics, autonomous campaign optimization, and sentiment analysis to enhance customer engagement while addressing privacy concerns through technologies like federated learning and differential privacy. The discussion spans the economic benefits of privacy-preserving AI, the importance of implementation maturity models, and the strategic integration of AI capabilities within enterprise management systems. Throughout, the article emphasizes how these innovations are reshaping traditional marketing strategies by enabling data-driven decision-making, improving operational efficiency, building consumer trust, and delivering measurable performance improvements across various marketing functions and industry sectors.

Journal of Computer Science and Technology StudiesVol. 7(3)
Openalex Percentile: Top 85%
Big Data and Business Intelligence
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