The science behind Cortyze.
Two decades of peer-reviewed fMRI and EEG research show that neural signals predict ad and product success more accurately than surveys, focus groups, or self-report. Cortyze translates that body of work into per-creative scores.
Neural predictors of purchases
The foundational study. Nucleus accumbens activation predicted purchasing decisions before subjects consciously decided to buy — outperforming self-reported preferences.
Read the paper →Predicting advertising success beyond traditional measures
Across six methods (self-report, eye-tracking, biometrics, EEG, fMRI), ventral-striatum activity was the strongest predictor of real-world market-level ad performance.
Read the paper →From neural responses to population behavior
Medial prefrontal activity in a small group predicted which anti-smoking campaign would drive the most calls at the population level. Self-report failed.
Read the paper →A neural predictor of cultural popularity
Teen ventral-striatum activity predicted three years of song sales. 90% of songs that drew weak neural reward went on to flop. Self-report did not predict sales at all.
Read the paper →Audience preferences predicted by neural processing
EEG brainwave synchrony across viewers predicted 60% of Nielsen TV ratings and 40% of Twitter activity for The Walking Dead. When brains agreed, audiences followed.
Read the paper →Neural similarity predicts ticket sales
Higher neural-similarity scores among moviegoers watching trailers predicted memory and ticket sales 20%+ more accurately than focus-group methods.
Read the paper →Consumer-neuroscience metrics predict ad performance
Neuroscience-based metrics predicted recall, liking, and viewing rates in online advertising — validating that neural measures translate to real digital outcomes.
Read the paper →Neural signals of video-ad liking
Mapped the temporal dynamics of neural signals during video ads, identifying brain patterns that predict ad liking and engagement over the course of a video.
Read the paper →