uKit AI system creates one personalized version of the page, based on recommendations of the uData system. This version can be shown not only to a single visitor, but also the whole audience segment (users with similar profiles).

uData is a big data storage on the [Suspicious link removed]bined with a smart search and hypotheses about the audiences. It is based on big data that is collected from crowd data and DMPs into a single storage.

When a visitor enters the website, the system will automatically figure out what segment this visitor belongs to: traffic is divided into groups based on the information about socio-demographic characteristics of the visitors and their online behavior. Then, uData makes a list of recommendations for personalizing the content of a page for each segment.

The interaction of systems within uData goes in cycles: each subsequent round of redesigning a dynamic landing page (unless an optimal conversion rate is reached for a particular page) calls a set of specified hypotheses, their automatic check and correction. The systems are constantly learning and the volume of data in the database is growing all the time, which increases the value of a token.