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 (Temporal Response In Brain Encoding)
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.