Cookies Misleading; News at 11

http://www.flickr.com/photos/compujeramey/47025604/

*Yawn*

I’ll get excited about these “people delete cookies” stories when somebody comes up with a better method to track ANONYMOUS visitors. Heck, I’ll even get excited if WA vendors come up with “cookie deletion metrics calculators” that automatically measure and compensate the reported numbers. (Don’t get me started on panels.)

True, from an advertising perspective, sure you can’t accurately determine reach and frequency. Unlike the precision you get offline … oh wait.

Cookies Misleading; News at 11

Mainstreaming Web Analytics

Once Upon A Time, I left the web analytics field for a brief respite. While I was away, a new competitor emerged, and everyone was talking about them, and I had to go figure out what made them so special.

Once Upon A Year Ago (or so), I stopped reading web analytics blogs. Now I return to find all these whippersnappers — people who actually Analyze Web Sites, not just write software that does analysis! Here, according to Technorati, are the number of blog postings in the last year that contain the phrase “web analytics”:

Technorati "web analytics"

Looks like I have some blogrolling to do.

Mainstreaming Web Analytics

Web Analytics is so 2006

http://asi-www.informatik.uni-hamburg.de/personen/mayer/hcilproject/visualizingHistory.html

I’m hearing it all over. There’s a new day on the horizon, a day when we in the web world recognize that none of this is really an exact science anyway, so why pretend?

Enough with the weighted regressions and Taguchi Methods already. It’s time to take the anal out of analysis. Instead of Web Analytics, I propose Web Casualytics. Or Fuzzylytics maybe. Or Estimytics.

Now excuse me while I go register some domain names.

Web Analytics is so 2006

It’s Not Always About Metrics and Statistics

As web analytics professionals, we tend to focus on trends, distributions, segments, etc. But sometimes the best insights don’t come from numbers or fancy visualizations. They can come from the experience of a single visitor.

Check out WG Moore’s article Web Site Analysis – A Study in Damage Control for a concrete example of this, where a page view-by-view analysis of a lost customer resulted in valuable insights.

It’s Not Always About Metrics and Statistics