Neuromarketing
The application of neuroscience methods to understand and predict consumer behavior.
Neuromarketing is the application of neuroscience methods — including fMRI, EEG, eye tracking, and biometric measurement — to understand how the brain responds to marketing stimuli and predict consumer behavior.
Traditional market research asks people what they think and feel. The problem: humans are poor reporters of their own mental states. We rationalize, we guess, and we're subject to social desirability bias. Neuromarketing bypasses self-report by measuring brain and body responses directly.
Key neuromarketing methods include:
- fMRI: Measures brain activation patterns — which regions are active and at what intensity
- EEG (electroencephalography): Measures electrical brain activity in real time, particularly useful for tracking attention second-by-second
- Eye tracking: Tracks where subjects look on a screen or in a physical environment
- Galvanic skin response (GSR): Measures skin conductance as a proxy for emotional arousal
Traditional neuromarketing is expensive, requires laboratory settings, and scales poorly. A single fMRI study might cost $50,000–$150,000 and test 20 participants.
VidCognition represents a new paradigm: AI-based neuromarketing that predicts neural responses from video without requiring human subjects in scanners. By training on existing fMRI data via TRIBE v2, VidCognition can generate neuromarketing-quality insights — brain region activation, engagement curves, emotional salience — at creator scale.
Related Terms
fMRI (Functional Magnetic Resonance Imaging)
A brain imaging technique that measures neural activity by detecting blood flow changes in different brain regions.
TRIBE v2 (Meta FAIR tri-modal brain foundation model)
Meta AI's model that predicts fMRI cortical responses to video stimuli, used as the engine behind VidCognition.
Brain Engagement Score
A composite score predicting the intensity of neural activation across key brain regions during video viewing.