Chief Editors: Mr. Irshadullah Asim Mohammed, Dr. Yogesh Mohan Gosavi, and Prof. (Dr.) Vineeta Kaur Saluja
Associate Editor: Mrs. Sruthi S
Co-Editors: Dr. S. Rajeswari, Dr. Nikhil Saini, and Ms. Atreyee Banerjee
ISBN: 978-81-985805-1-1
Chapter: 23
DOI: https://doi.org/10.59646/mrnc23/321
Author: Dr. Pradeep Sudhakaran
Abstract
The integration of artificial intelligence (AI) in digital marketing has transformed the way businesses engage with consumers, optimize campaigns, and enhance user experiences. This study provides a comparative review of emerging AI-driven digital marketing strategies and their impact on consumer behavior. The paper explores key trends such as predictive analytics, personalized content marketing, AI-powered chatbots, automated advertising, and sentiment analysis. These innovations enable businesses to analyze vast amounts of consumer data, identify behavioral patterns, and tailor marketing efforts with unprecedented precision. Additionally, the study examines the ethical implications of AI in marketing, including data privacy concerns and algorithmic biases. A comparative analysis of traditional digital marketing approaches versus AI-enhanced strategies highlights the advantages and challenges associated with automation, personalization, and real-time decision-making. The findings suggest that while AI significantly improves marketing efficiency and engagement, businesses must balance technological advancements with ethical considerations and consumer trust. This research contributes to the understanding of AI’s role in shaping future marketing landscapes and provides insights for businesses seeking to integrate AI-driven strategies effectively.
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