A Systematic Literature Review: Commercial Effectiveness of AI in Building Target Audience Interest in a Product

This systematic literature analysis examines the financial viability of Artificial Intelligence (AI) in generating and maintaining target audience interest in products. With the rapid advancement of AI technologies, businesses are increasingly employing AI-driven strategies to engage and capture their target audience. In this review, we look at a variety of academic publications, research papers, and case studies published between 2010 and 2022 to assess the current status of AI's impact on generating target audience interest. This paper compiles critical results on the use of AI in understanding consumer behavior, tailoring marketing strategies, fine-tuning content distribution, and improving overall customer experience. It also highlights the various AI approaches, tools, and platforms used by businesses to increase audience participation and curiosity. Furthermore, the study looks into the challenges and constraints connected with implementing AI in commercial environments, as well as potential ethical concerns. According to the findings, artificial intelligence holds great promise for improving commercial efficacy, particularly in e-commerce, digital advertising, and customer support. However, the efficacy of Artificial Intelligence (AI) in generating and keeping the intended audience's attention is dependent on a variety of elements, including algorithm precision, data quality, and the alignment of AI techniques with specific business objectives.