One of the features of our platform that some of our customers are super excited about is our ability to assign a value to each of the recommendation we provide. As customers, they are interested in knowing exactly how much value we add, on top of the value their content is already generating. In addition, the Recommendation Values help them in prioritizing which recommendations to take. I would like to dive a little into our Recommendation Value calculation and show you how it works.

Analyzing the front page content recommendations that came out of the Visual Revenue Platform, I found that Gossip and Entertainment stories do not always rank the highest. News and Sports stories, as an example are extremely valuable, and easily assure that Lindsay Lohan doesn’t always win!

Article Lifespan can be viewed as a coarse summary of a news property’s operation. It reflects the staffing level, processes, and strategy a news property has established to put out content at a particular rate. News Properties should align this as closely as possible to their readers’ reading habits to maximize readership while minimizing cost. I would argue that each new property has an optimal average Article Lifespan.