This week sees us continue our Fall (Autumn for us Brits!) rollout with the launch of our Collaborative Editorial Environment.

I’ve spent many hours sitting in newsrooms and regardless of Editorial team size the room is always in discussion. What to place in this position? Isn’t it about time we refreshed that module? Can’t you find a better article for that position?

It was a busy end of the week last week up at ONA’11and a fantastic event to meet up with many online Front Page Editors who had a host of very valid questions. As we’ve said on numerous occasions, Editors should be Editors and not Analysts – and with that we provide real-time input (specific recommendations) on what content to place where on a Front Page and for how long.

Tonight CNNMoney hosted its first startup event, at which three entrepreneurs were invited to pitch their ventures — and talk up how their companies could help the CNNMoney brand. “CNNMoney received more than 100 submissions, and winnowed it down to three finalists: Qwanz, Roboinvest and Visual Revenue.”

Dennis and I will be heading up to ONA ’11 this Friday and Saturday. We’re proud to be both sponsors of ONA ’11 and members of ONA (Online News Association) and look forward to chatting with as many of you as possible, so do drop by and visit us at our booth (#15) to find out more.

It’s been a super busy summer for the VR team and over the course of the next month we’ll be pushing a significant number of updates to the Visual Revenue Front Page Platform live. We have a host of exciting new features to showcase, the first of which is: The Article Engagement Indicator

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.