Understanding Consumer Behavior Through AI-Powered Neuromarketing

View at publisher
Authors: R N Ravikumar, S. Aarthi, Valisher Sapayev Odilbek Uglu, Mokhinur Sadullayeva, Jakhongir Shaturaev, G. D. Praveenkumar
Cited by: 2
References: 40

Abstract

Understanding consumer behavior is critical for companies, especially with the rise of digital information and recommendation systems. AI with neuromarketing capabilities transforms consumer decisions by analyzing emotional responses and subconscious signals, using tools like eye tracking, EEG records, facial expression detectors, and biometric feedback. These AI systems can identify marketing cues that humans may miss, offering real-time insights into consumer behavior. This integration helps brands predict purchasing behavior, create effective ad strategies, and foster deeper brand engagement. However, the use of neural and biometric data raises ethical concerns, emphasizing the need for transparency, data protection, and consumer consent. The future of AI in neuromarketing holds promise for more advanced tools, but it is crucial for marketers to follow ethical guidelines to ensure genuine, trust-based relationships with consumers.

Fields of Study & Subjects

Emotion and Mood Recognition AI in Service Interactions Digital Media and Visual Art

Publication details

Journal / source
Advances in computational intelligence and robotics book series
Publisher
IGI Global Scientific Publishing
Pages
107–138
Publication date
4 March 2026
Document type
Book chapter