Applying Cognitive Neuroscience to eCommerce and Marketing AnalyticsToggle marries cognitive science with neuroscience and applies it to make fast and accurate predictions of consumer behavior. The results generated from our Relative Preference (RP) Engine eclipse all traditional consumer research methodologies in terms of speed, accuracy and cost, whether using existing data, or collecting 90-seconds of image ratings. This RP Engine™ is able to accurately predict both positive and negative subconscious or latent preferences.The RP Engine™ is being optimized for market research applications and neuromarketing. It can also be used as a multimodal recommendation engine using either consumer ratings or Net Promoter Scores™ to improve the accuracy of predictions of consumer behavior metrics. The RP Engine™ represents the direct output of human reward/aversion circuitry in the brain and can be linked to neuroimaging for calibration or operate independently for market research or neuromarketing.The RP Engine™ can be altered to company needs, including use for virtual focus groups, understanding who to serve which ads and offers, or testing of consumer preferences for packaging, products and advertising. Ultimately, this allows a marketer to increase customer engagement and drive brand exploration and, subsequently, purchases.