AI in Neuromarketing: Understanding Consumer Emotions and Behavior through Machine Learning
Year: 2024
Type: article
Abstract: This paper explores the integration of artificial intelligence (AI) and machine learning in the emerging field of neuromarketing, which combines neuroscience with marketing strategies to decode consumer emotions and behaviors. By employing advanced techniques such as EEG, fMRI, and facial recognition, the research highlights how these technologies can analyze subconscious responses to marketing stimuli, providing deeper insights than traditional methods. The study emphasizes the transformative role of AI in enhancing predictive analytics, real-time personalization, and customer segmentation. Furthermore, it discusses the potential benefits of AI-driven insights for crafting effective marketing campaigns that resonate with consumers and improve engagement. The paper also addresses the challenges faced in this field and proposes future research directions to explore the intersection of AI and consumer behavior analysis.
Author: Tavishi Yadav -
Language: English
Topic: AI in Service Interactions
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4403170564