Feeder Facial Recognition

Using a state-of-the-art technology for tracking your audience’s micro-expressions, our AI is able to create a frame-by-frame analysis of how their instant reactions in front of your content. Our facial recognition technology will help you to create better contents and to reach a better understanding and a better communication with your audience. Use Feeder to explore new ways of communication. Test your contents. Validate them. Optimize your contents after having carefully listened your target, knowing which specific parts of the content need to be improved or even changed and also which ones inspire your consumers. Our facial recognition system tracks your audience’s micro-expressions delivering emotion-based data in real-time. Each one of the micro-expressions your audience does in front of your content can’t be faked and are unconsciously linked to one of the seven basic emotions (fear, anger, joy, sad, contempt, disgust, and surprise).

Feeder Algorithm

Our algorithm translates each one of the emotions that your audience are feeling (fear, anger, joy, sad, contempt, disgust, and surprise) into pure qualitative metrics meant for you to understand what is truly happening within your campaigns. We have created 11 qualitative dimensions based on diverse formulas and parameters given by the emotions themselves. The 11 qualitative dimensions are: Wow, Attention, Discontent, Amazement, Scare, Remorse, Fun, Reject, Intrigue, Nostalgy, Validation. Our algorithm is live and is learning from the audience’s reactions to create new qualitative dimensions that will arrive within the next few months (such as nostalgia or melancholia). The Feeder algorithm democratizes neuromarketing and market research processes making emotion analysis understandable for everyone using a marketing-product mindset.