EmotionsAI classifies visitors into 10 needs depending on the way they interact with a website. Based on their predictive patterns, the algorithm classifies visitors as it detects their Intuitive Needs (attention, comfort, community, competition, and safety) and Rational Needs (change, immediacy, notoriety, quality, and understanding).
Our algorithm has been developed by experts: a Doctor (PhD) specialized in Purchase Behavior Modeling, who conducted his PhD guided by a Nobel Prize winner.
EmotionsAI is the result of 8 years of R&D and in-depth research on millions of users' journeys, thousands of online surveys and hundreds of A/B tests analyzed. Which makes it unique on the market.
The AI in EmotionsAI
EmotionsAI provides an audience segmentation that was built by training an algorithm to identify the links between user behaviors and the type of online experience they prefer. The AI has identified 10 groups of visitors with very different UX preferences and can predict these preferences based on observed visitor behaviors.
As a result, website online experiences can be tailored to visitor preferences, enabling the websites to demonstrate emotional intelligence.
Visitor categorization
It takes only 30 seconds for EmotionsAI to categorize a visitor into one of the 10 available segments!
We calculated 30 seconds as the optimal amount of time between qualifying and business. The average time spent on a page is 52 sec (source Contentsquare), within 30 seconds we are able to qualify users on the first page they visit and to enable a tailored experience as soon as the second viewed page. If EmotionsAI took a longer time to predict, we would increase the accuracy but may react too late to keep the visitor engaged.