Twitter chatter: Using a Page Revenue Participation metric for Conversion Optimization
Using a Page Revenue Participation metric for Conversion Optimization
Showing you the money (for the visually-minded)
Twitter chatter: The Twitter #webclinic that broke the interwebs — now with Q&A
The Twitter #webclinic that broke the interwebs — now with Q&A
Terrific instructions to creative a strong and positive presence on Twitter
Twitter chatter: N.Y. Times mines its data to identify words that readers find abstruse
N.Y. Times mines its data to identify words that readers find abstruse
Brush up on your SAT vocabulary list before reading the N.Y. Times—they are watching which words you don’t know.
Twitter chatter: Making sense of the Google Analytics Motion Charts feature
Making sense of the Google Analytics Motion Charts feature
A terrific article for the hard core analysts. Those of you who called stats “sadistics” in college, just move on.
Twitter chatter: Successful Web Analytics: what does it take?
Successful Web Analytics: what does it take?
Even a car racing enthusiast can understand how to build a successful analytical framework.
Twitter chatter: HabitatUK as a case study
How not to use Twitter: HabitatUK as a case study
Triple ouch! Learn from someone else’s mistakes before you venture into the world of Twitter.
Twitter chatter: 5 Different Ways To Create Stylish Contact Form Layouts
5 Different Ways To Create Stylish Contact Form Layouts
Make your contact forms clean and simple. Or, as my son would say, easy peezy lemon squeezy.
Twitter chatter: 16 Ways to Track Links Shared on Twitter or Friendfeed
16 Ways to Track Links Shared on Twitter or Friendfeed
Want to know when social media is working? Use these specialized tools to find out how visitors hear about you.
Twitter chatter: 111+ Web Analytics Tweeter You Must Follow
111+ Web Analytics Tweeter You Must Follow
Some of the finest WA tweeters
Twitter chatter: Web Analytics Applied: Web Analytics Overkill
Web Analytics Applied: Web Analytics Overkill
A nice article on deciding what is really “analytically valuable” information on your site.