Solutions for Editorial Decision-making

Predict the performance of an article as it’s published

Imagine being able to benchmark the engagement, performance and value of each article before it’s published on your website. With this is possible. We can score the entire back catalogue of your content and compare article quality with the metrics you use to measure performance. We then build the identified trends into a statistical model that can be used to predict the performance of an individual article based on its quality score.

Since the scoring process takes less than a second per article, it does not impact your publication workflow and can be seamlessly integrated into your CMS or passed to a third party via our API.

This can be a complex project to set up and needs to be highly customized to each publisher. To discuss your requirements please get in touch using the form below.


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