This is a fun post and a mash up of a couple of similar ideas. 

Last Friday,  IMediaConnection ran an article by Roger Park titled - "Study Links Purchases to Web Surfing" the showed a positive correlation between recent buyers of midsize premium sporty vehicle and a 9 percent-point increase in visits to the AOL Sports Site during August-October 2006 according to the J.D. Powers 2006 Online Media Study.

Meanwhile Tom Hespos authored an article on Quick and Painless Targeting Tips yesterday in IMediaConnection wrote about behavioral predictors:

"..it's a well-known fact that people who move into a new house are highly likely to also buy a new car within a couple months of settling into their new home. Car dealerships and auto manufacturers know this, and they often seek ways to reach new home buyers when they move in. It's why you'll see smart car dealerships advertising with Welcome Wagon and other advertising vehicles that reach new home owners."

"….Odds are your business has similar axioms, where a seemingly unrelated (or marginally related) behavior indicates a higher propensity for buying your product or service. My dad's irrigation business used to align closely with landscapers because when someone in the Hamptons would dump a ton of money into sod, ornamental plantings and specimen trees, it's highly likely they would also want to buy a lawn sprinkler system to protect their investment (duh). While this seems obvious, it's not necessarily obvious to advertise that business online by looking for people who seek local listings for landscapers. Behavioral targeting can do this today.

I call these behavioral predictors. If your business has any, look to see if there are any obvious translations of the behavioral predictor into online behavior. Use the reps at behavioral marketing companies as a resource to help you figure this out. Then, lock in inventory that fits the criteria you identify."

I wonder if there's a way to use Google Analytics to show visitors that came from a certain place are more likely to engage in a predefined goal on the site.  I'll use my own site, Webmetricsguru.com and my own predefined goal 1 - Visitor AdSence Click (what percentage of my daily visitors clicks on an ad and makes my blog network some money).  

One thing, I'm not sure of what the G1 Goal is measuring since I did not set it up and or have admin privileges (is it all traffic or just paid traffic that's converting) - I will look at overall trends.

I was impressed with my numbers (I won't give the exact percentages but will say that Sunday, October 1st, Saturday, October 14th,  Saturday, November 18th and Saturday, December 2nd had the highest percentage of my daily visitors that clicked on an Ad).  

My goal is to find out why and where they came from (what those days might have in common - that's why I'm a web analyst …I'm curious by nature.

Blog Posts for October 1, 2006

1. Linear is broken
2. Using Technorati sophisticated keyword feeds for blogs with authority
3. Went to the NextFest

 Blog Posts for October 14, 2006

1. Edelman's fake Walmart Blog
2. Google Analytics adds integration with Google Checkout
3. Intuit On Working With Google
4. Sometimes Less is More

Blog Posts for Saturday, November 18th, 2006

1. More Reviews of TechCrunch 8 @ BED NY
2. Gender Guesser

Blog Posts for Saturday, December 2nd, 2006

1. Not all clicks are equal
2. The 100,000th Visitor to Webmetricsguru is…… and some thoughts about Uniques
3. SEMAngel's Hierarchies and Content Analysis Post
4. Splogosphere already peaked, being cleaned up
5. SPY Blogosphere - Open Source Spying

Starting with October 1st - what about my content made visitors more likely to want to click on PPC ads on Webmetricsguru.com?  What might the visitors have in common?  Let's start here and we'll carry this on for a couple of posts. 

For October 1st - Ask.com had the highest percentage of visits from a single serach engine that lead to a G1 Conversion but Direct Visitors (who typed in Webmetricsguru.com - and there for were at the site before) converted at a significantly higher rate.  From referal sites - Technorati had the highest conversion rate. Overall - Google accounted for the Lions share of conversions.

However, the immediate problem that I see - Goal 1 conversion are defined for the Blog (Webmetricsguru.com)  but for any post in particular - I can't tell if it's my content or any particular content that drove a conversion based on how the campaign is set up.

When there was term being used that generated an Adsence click - what was it?

 Query:

• how do music portals generate income?
• th song white & nerdy

Is there something in common in terms of where people originated? Where did they come from?

• Queensland
• New York
• Ruwi
• São Vicente
• Portland
• Indore
• New Delhi
• Great Missenden
• Santa Barbara

In terms of Referral Conversions - I don't see any large number occuring from a single source - it's all over the place.

It probably makes more sense to look at commonality over time - so I'll take all of this year and the top sources of "free" conversions are traffic from Technorati Traffic, Top40.about.com, Seth Godin, Digg, and so on.

But who's the most interested readers? 

The largest block of
readers that had the highest overall number of page views per visit come from Technorati, Google Images and Top40.about.com.  Basically, it's content that drives interest - it'll be about the story.  Digg was part of this story because I got a spike of traffic from them in June - but if you look at individual months, where Digg was not part of the picture, Avinash Kaushik's blog, Google Search traffic and Google Images gave me pretty decent numbers of visitors that also read more than one post or page per visit.