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Artificial Intelligence-Driven Neuromarketing: Measuring Emotional and Cognitive Triggers in Consumer Behavior

Author(s) Nishant Dubey
Country India
Abstract Artificial Intelligence (AI)-driven neuromarketing has emerged as a transformative approach for understanding consumer behavior by integrating neuroscience techniques with advanced data analytics. This study explores how AI enhances the measurement of emotional and cognitive triggers that influence consumer decision-making processes. By utilizing tools such as electroencephalography (EEG), eye tracking, and biometric responses, neuromarketing captures subconscious reactions that traditional research methods often fail to identify. The incorporation of AI enables efficient processing and interpretation of complex neural data, facilitating predictive analysis and real-time personalization of marketing strategies. The research highlights the role of emotional engagement, attention, and cognitive processing in shaping purchase intentions. Furthermore, it examines how AI-driven insights can improve targeting, customer experience, and marketing effectiveness. The study also addresses key challenges, including ethical concerns, data privacy, and technological limitations. Overall, this research contributes to a deeper understanding of consumer behavior and provides a foundation for developing innovative, data-driven marketing strategies in a competitive digital environment.
Keywords Artificial Intelligence, Neuromarketing, Consumer Behavior, Emotional Triggers, Cognitive Triggers, EEG, Eye Tracking, Predictive Analytics, Personalization, Decision-Making
Published In Volume 6, Issue 7, July 2025
Published On 2025-07-09
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