Real-time analytics like Newsbeat enables you to understand what’s happening on your site right now, but it can still be hard to understand whether an article is performing better or worse than it should be. Today, we’re trying to make that easier by introducing benchmarking for articles. Our algorithms model the typical path of a story published at that time on your site over the first 12 hours of its life cycle and give you an instant understanding of whether your article is performing above or below that typical path. Simply go to the performance tab and click on an article (our algorithms automatically ignore landing pages) and you’ll get a sense of how that article is doing.In the example above, the red line showing actual performance is just under what would be typical performance for a story on that site published at that time; it is underperforming against the benchmark. In the example below, the red line showing actual article performance is beating the benchmark of typical article performance; it’s a great story!When looking at your top 10 stories you should expect them to beat typical performance by quite a bit; that’s why they are your top ten stories! However, as you delve into stories below the top rank you’ll see their performance converge with typical and instantly be able to see when an unexpected event like a link from Drudge or spike from social moves you away from that typical performance. Once you’ve published a story, come back to our dashboard and see if it is out performing your standard articles. If it’s falling short, make sure you’re taking every opportunity to promote it through your site and social media. When a story is exceeding expectations, then it might be time to give it some homepage love, or understand how you can apply this success to all your other content.
We’re constantly working on improving the models, incorporating more factors, and providing more context around the data to ensure that you can extract as much value from our product as possible. Please email us anytime at: email@example.com, we’d love to hear from you.