The client is devoted to entertaining more than 2 million users through quality content. The client wants to serve each of his customers with Relevant Ads based on the content they are viewing or various other facts like location, profile, device type,
time of the day and much more. The client offers wide-ranging ad targeting features thus, enabling their ad partners to target the readers based on the factors and triggers mentioned above. Therefore, they require a system that could automatically track the users and provide them with relevant ads they are interested in. In all they needed the use of intelligent system like IBM Watson. For example, if a visitor is reading an article related to fashion, then he/she should be
targeted with associated products or services such as clothes, fashion accessories, shoes, etc.
The post Look how we used IBM Watson to increase the revenue of our Customer appeared first on Bezoar Software.
This post first appeared on Latest Blogs On Technology, E-commerce, And Artificial Intelligence, please read the originial post: here