The Role of Artificial Intelligence in Personalized Marketing
AI's capacity to deliver individualized, tailored client encounters is revolutionizing marketing.This study explores the use of artificial intelligence (AI) in customized marketing strategies, emphasizing its applications, benefits, and implications for businesses. According to the abstract, individualized marketing is growing in significance because consumers in today's cutthroat market desire tailored experiences and pertinent content. AIn personalized marketing is then examined, utilizing methods such as machine learning, recommendation engines, natural language processing, and predictive analytics. The abstract also discusses some of the benefits of AI-powered personalized marketing, such as increased engagement, happier customers, higher conversion rates, and improved return on investment.It goes into detail about how AI algorithms sort through huge amounts of data to divide viewers into groups, guess what customers will do, and send timely, relevant messages through specific channels. The abstract also talks about the moral issues and problems that come up with using AI in targeted marketing. These include concerns about data privacy, the lack of objectivity in algorithms, and the need for AI-powered choices to be open and responsible. The last part of the abstract talks about how AI can completely change targeted marketing. It gives companies advice on how to use AI to better understand their customers' needs, deal with ethical concerns, and build stronger relationships with them by using data-driven insights in a responsible way.
Authors
- P. K. Behera (ORCID: https://orcid.org/0000-0002-1527-2266)
- Kishore Chandra Behura Dr. Kishore Chandra Behura
- Sucharita Subhadarshini Sucharita Subhadarshini
Publication Details
- Journal
- International journal of business and management invention.
- Published
- 2025-05-01
- DOI
- https://doi.org/10.35629/8028-1405130133
- Citations
- 1
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 2.28