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Data-Driven Marketing Strategies: How AI is Transforming Brand Positioning

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: 25

DOI: https://doi.org/10.59646/mrnc25/321

Author: Dr. M. Prakash

Abstract

Data-driven marketing strategies have undergone a transformative shift with the integration of artificial intelligence (AI), revolutionizing brand positioning in the digital era. AI-powered tools enable businesses to analyze vast amounts of consumer data, identify behavioral patterns, and create personalized marketing campaigns that enhance customer engagement and brand perception. Machine learning algorithms, predictive analytics, and real-time data processing allow brands to adapt dynamically to market trends and consumer preferences. Additionally, AI facilitates sentiment analysis, chatbots, and recommendation systems, fostering deeper brand-customer relationships. The automation of marketing processes through AI not only increases efficiency but also refines targeting precision, optimizing return on investment (ROI). However, ethical concerns, data privacy issues, and the risk of algorithmic bias remain challenges in AI-driven marketing. This paper explores the impact of AI on data-driven marketing strategies, emphasizing its role in redefining brand positioning, enhancing consumer interactions, and shaping the future of digital marketing.

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