HARNESSING PERSONALIZED EMOTIONAL AI FOR ENHANCED CONSUMER ENGAGEMENT IN INTELLIGENT MARKETING
Dr. Padmavathy.A1, M, Dr. R.Aarthi Alamelu 2
1Assistant Professor, Department of Commerce,2Assistant Professor Department of Commerce (Accounting & Finance)
FSH, SRMIST, Vadapalani Campus, Chennai – 600 026.
Abstract In today’s rapidly evolving digital landscape, the fusion of Artificial Intelligence (AI) with marketing has opened new avenues for creating personalized consumer experiences. One of the most innovative advancements in this realm is the use of Personalized Emotional AI. This technology harnesses the power of AI to analyze and respond to consumers’ emotions in real-time, allowing brands to tailor their marketing strategies in ways that resonate deeply on an emotional level. By interpreting facial expressions, voice tones, and other biometric data, Emotional AI enables businesses to craft messages that connect with consumers’ feelings, enhancing engagement and fostering stronger brand loyalty. This study explores the transformative potential of Personalized Emotional AI in modern marketing. Through a comprehensive analysis of its applications across various industries, the research delves into how this technology can elevate consumer interactions from merely transactional to profoundly relational. The findings indicate that when brands effectively utilize Emotional AI, they not only capture attention but also build lasting emotional bonds with their audiences. However, the implementation of Emotional AI comes with ethical considerations, particularly regarding privacy and the potential for emotional manipulation. This study underscores the importance of balancing innovation with responsibility, ensuring that the use of Emotional AI is transparent and respects consumer trust. By adopting a human-centered approach to AI, brands can harness its full potential to create meaningful, emotionally intelligent marketing campaigns that resonate with consumers on a deeper level, driving both engagement and loyalty.
Keywords: Personalized, Emotional AI, Consumer Engagement, Machine Learning Algorithms, Real-time, Emotional Analysis, Marketing Strategies Consumer Behavior, Ethical Considerations, Brand-Consumer Relationships.