By Mark Gibbs
An area of overlooked value in Web applications is that if
engineered correctly Web apps can generate valuable data about
user behavior and if monitored in real-time or near real-time
can be used to fine tune business processes to fit the target
market more effectively.
I was told of a great example of this technique by my good
friend Jim Sterne over lunch yesterday. I have mentioned Jim in
previous newsletters, and as he recently wrapped up this year's
Web Analytics Conference (see editorial links below) I asked him
about the insights into analytics that the conferences revealed.
One of the insights Jim told me about concerned this feedback
intelligence loop idea: In a presentation by Shari Cleary, the
research manager for CBSNews.com, CBS.com and UPN.com, she noted
that the CBSNews.com news and operations director, Mike Sims,
monitors the CBSNews.com Web site traffic in real time to track
the popularity of news stories and videos. This intelligence
allows CBS to "re-rank" site news items to more accurately
address user concerns.
...
But here's a thought: What if CBS took this a step further and
used this intelligence to tailor its TV news broadcasts? And by
comparing Web site traffic before and after each broadcast, it
could determine how well its TV broadcasts reflected what
viewers were currently interested in.
...
RELATED EDITORIAL LINKS
Jim Sterne
http://www.targeting.com/Web Analytics Conference 2005
http://www.emetrics.org/summit605/Shari Cleary
http://www.emetrics.org/summit605/speakersUS.html#shari