From an analytical standpoint, this is interesting for many reasons:
- I got a huge increase in traffic, but it turned out to be narrowed to that single post. There was a 84% bounce rate on that post, clearly reflecting the way people use services such as Digg: get an interesting newsbit, scan it (and sometimes read it!), and get out. At least, that's the way I'm using Digg, Technorati, Reddit and even Google Reader.
- My page view/visit ratio went down from over 4 to barely over 1. If I had a visit/conversion KPIs, they would be totally out of control.
- The average attention span on that post was slightly over 2 minutes, which is barely enough to scan this long article and focus on the most interesting paragraphs.
This boils down to the fact that measuring page views is not enough. We need to start thinking in terms of "significant user event", be it an RSS read, social network posts and their ratings, a specific user action within a page or more conventionally allowing some of our attention for reading a page or looking at a product. And thats where the "Web 2.0 Measurement Working Group" can contribute: what should be measured, and how?
In this respect, measuring "Attention", as defined by Beck & Davenport, might be a good path to investigate.