Avinash Kaushik, Google’s Analytics Evangelist and author of “Web Analytics: An Hour A Day” hosted an invitation only event at Google’s Atlanta office earlier in the week. The meeting “agenda” was traditional “Google style”, a meet & greet over Ping-Pong followed by (absolutely fantabulous) hors d’oeuvres and multi-colored icy cold adult beverages served in the game room at Google Atlanta. All in all, the group was 50/50 Googler to non-Googler with 15-20 of us total.
After a little “schmoozing” it was time to get down to business and Avinash’s main talk followed by Q&A as well as a short feedback session all topped off with FREE swag from Google. At the end of our meeting, Avinash asked if we would mind “beta testing” a presentation (which included that latest non-published until now perhaps, Google stats) he was working on and had put together during his flight to Atlanta, GA earlier in the day.
- The average Google query now consists of 4 words and not 3! That’s up for the first time ever as of Q4 2007, from the long-time 3 word per query Google user average.
- 14% of Google clicks come from paid search and 86% of clicks are organic. (up slightly)
- 25% of Google’s user queries are unique, meaning no other user has used the same query previously. (unchanged)* [see update below]
The meeting was informative as well as educational! I must say, Avinash is one of the best speakers I’ve seen in addition to having a great sense of humor and being quite personable. Thanks Google and hats off to you Avinash! It was a pleasure…
Many thanks to Philipp Lenssen for pointing out an important issue concerning Google’s definition of “unique queries”. Here is what Matt Cutts said in response to the issue at Google Blogoscoped a few months ago:
“Philipp, I think that’s a pretty accurate estimate if you look over a time period of a month or so. So if you had queries from the last month or so, 20-25% of queries the next day would be new/unique. It also depends a little bit about whether you’re defining it only as web queries, or all queries to Google (e.g. blog search, book search, patent search, etc.).”
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