COMPARATIVE ANALYSIS OF AI-DRIVEN ENGAGEMENT TECHNIQUES: EVALUATING CUSTOMER ENGAGEMENT, CONVERSION RATES, AND PERSONALIZATION ACROSS INDUSTRIES
Keywords:
Artificial Intelligence, Ad-Supported Video on Demand, Generative Long Short-Term Memory, Variational Autoencoders.Abstract
The integration of Artificial Intelligence (AI) in advertising has brought about transformative changes in customer engagement strategies. AI’s ability to leverage vast amounts of consumer data allows advertisers to deliver highly personalized content that resonates with individual preferences, resulting in more effective and engaging ad placements. This literature review explores the various AI-driven personalization techniques that have significantly enhanced customer engagement. Specifically, the review examines personalized content recommendations, conversational AI and chatbots, and visual and voice search advertising. These techniques have led to higher engagement rates, improved customer experience, and more intuitive ad interactions. By exploring the mechanisms behind these advancements and their impact on advertising efficacy, this paper provides a comprehensive analysis of the role AI plays in shaping modern advertising strategies.
