The survey held by Approved Index in 2017 among British individual, small and medium- sized enterprises showed that launching a website allowed companies to increase their turnover by 45-62% [Approved Index, 2017].
Consumers and businesses face di erent sides of the same problem: the problem of personalizing, delivering and receiving a targeted message in the right format and at the right time. Seventy-seven percent of Internet users polled by Hubspot in 2016 said they would prefer seeing customized advertising messages rather than blocking ads completely in the browser. Obviously, intrusive and irrelevant ads have become a nuisance to web visitors looking to make a purchase.
Automated personalization of content has become the most anticipated technology according to the heads of advertising and marketing departments in the US [eMarketer, 2017].
The uKit AI 2.0 platform that brings together a set of tools and services to customize web pages follows the principle of a dynamic landing page (di erent designs are kept at a single website address and a specific design is triggered depending upon the data on each audience segment), and uses machine learning practices as well as the data about each segment’s behavior.
uData — the base with datasets of how user segments behave on the Internet. The database is updated both through purchasing information from data management platforms (DMPs) where the details of di erent players of the advertising industry (websites, apps, advertising agencies, etc.) are forwarded, and thorough data contributions from other project members. Basically, uData will make it possible for everyone to use big data (consumer habits, interests, results of previous interactions, and so on) to automatically customize websites for di erent audience segments.
When a user visits the needed URL address, the system will automatically identify which segment this user belongs to and generate a list of recommendations to rebuild your landing page based on the details of their previous behavior. Users will be able to get a part of the token by sharing the amounts of data about how visitors behave on their websites. If a user decides to pass the data to our system, the transparency of this exchange will be ensured by blockchain.
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