Title

EEG-based measures versus panel ratings: Predicting social media-based behavioral response to Super Bowl ads

Abstract

Existing research suggests that when assessing consumer responses to advertising, neuroscience and physiological measurements offer more objectivity than traditional self-report measures and, hence, may be more predictive of audience response. The current authors’ research explored consumer behavioral responses to Super Bowl ads on YouTube by comparing the predictive value of the self-report USA Today Ad Meter ratings with electroencephalogram (EEG)-based neuroengagement scores. This study assessed differences in subsequent online ad views, social engagement, and overall ad sentiment. The authors argue that implicit measures may be particularly useful in examining online social engagement and information transmission of paid brand content.

Publication Title

Journal of Advertising Research

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