Your newsroom writes great articles but can't keep up with distributing the content to the right audience in a personalized manner. You know machine learning can help but you want to stay in control of the articles on your key impact positions.
Use state of the art machine learning techniques to show users the articles they are most likely to continue reading, from a list of curated articles. This module shows unique recommendations for each user and learns what to recommend based on it's page and position.
Best practices show to get a higher impact on engagement, you need to place this personalized module on high traffic locations like high up on your homepage. Here are some tips:
A module proposing products from connected eCommerce platforms according to the user’s interests and behavior.>>
A module containing personalized & related video recommendations at the end of a video (content & collaborative based).>>
A set of tools allowing newsrooms or marketing teams to identify gaps in their content: Write less or more on a certain Topic, Trend being missed by the newsroom and should be added, Suggestions to deprecate Topics>>
To get started you can use the data that you already have, such as:
You can pass us the shortlist of articles either in your article feed (using a tag), using business rules or by using the Froomle webtool.