Analyzing the Impact of Artificial Intelligence on Personalized Marketing Strategies: A Comparative Study of Traditional vs. AI-driven Approaches






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Analyzing the Impact of Artificial Intelligence on Personalized Marketing Strategies: A Comparative Study of Traditional vs. AI-driven Approaches

Naman Dalan, Anshumant Sahu, Ashutosh Kumar

Universal Business School

Abstract:

This research aims to investigate and compare the effectiveness of traditional marketing strategies with those enhanced by artificial intelligence in achieving personalized customer experiences. The study will delve into the application of AI algorithms, such as machine learning and natural language processing, in analyzing consumer behavior, preferences, and engagement patterns. By examining real-world case studies and conducting surveys or experiments, the research will evaluate the level of personalization achieved through AI-driven marketing campaigns and measure their impact on customer satisfaction, brand loyalty, and overall marketing performance. The findings of this research can provide valuable insights for businesses looking to optimize their marketing strategies by incorporating AI technologies.

This topic allows for a comprehensive exploration of the intersection between AI and marketing, considering both theoretical aspects and practical implications for businesses. It also opens avenues for discussing ethical considerations, challenges, and future trends in the evolving landscape of AI-powered marketing.

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