Utilizing Artificial Intelligence, Newzmate can learn what readers
want and then, deliver. Keep readers engaged to a stream
of relevant content and retention rates skyrocket.
For a long time, the mainstream approach to audience engagement has included various content selection approaches such as: most popular stories, related story, and stories selected by the editorial team. These approaches have worked well in the past but audiences have become more and more sophisticated. Along with an increase in social media traffic, audience engagement is going down, ad-blocker use is growing, and revenue growth is under pressure. .
Newzmate observes what content your audience reads, when they read it, and how they read it. Their choices are evaluated on both an individual and group level.
Not only does our platform track keywords, but the meaning is also seriously taken into consideration through our proprietary semantics analysis engine which includes support for over 40 languages.
Building an interest graph for each visitor of your website is just the first step necessary to increase your audience engagement and loyalty. Content-driven businesses also require the ability to provide relevant content recommendations that could be both adopted to audience interest, and also take into account content trends, freshness and vision of the editorial team.
Given this deep analysis into what readers are reading, Newzmate is able to assist in the delivery of the kind of content that not only is the reader interested in, but will continue to come back for. This personalized experience increases page views, time per session, and general audience engagement.
The high level of personalization that Newzmate offers also allows you to apply content in a very diverse way. Content type (articles, products, advertising, etc.) can be combined with recommendation type (most popular, latest, personally recommended, etc) and even placed (under the article, in the sidebar, in-stream, in-text, etc.) without any manual work at all – completely automated.