Based on machine-learning and marketing automation
The personalization of the audience experience is no longer a feature but a key function of a company’s marketing activities. The Newzmate personalization and content recommendation engine was built specifically for news organizations and content-driven businesses to deliver fresh and relevant content to each unique reader no matter if you have an audience of 100 or an audience of 100 million.
Newzmate provides you with a set of flexible content selection rules. First you specify the source of the content (typically an RSS feed). Next, you adjust how you want to select the content from the feed: based on individual reader’s interests, content popularity, in chronological order by publication date, in the same order as it is in the feed, or you can simply let the editorial team have complete control over it. And lastly, you identify where and how you want this selection to be displayed: in emails or on the website.
Once integrated, Newzmate starts gathering information about your audience: what, when and how they read your website. Next, with the help of semantic analysis Newzmate identifies the meaning of each visited story as well as newly published or archived content. After that, Newzmate turns the knowledge it has gained on the content and reader’s interests into personalized content recommendations that can be delivered via different channels.
Newzmate is all about understanding your audience needs and content trends, and therefore we provide detailed reports on the best performing content, audience engagement and activity.