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This question has come up a few times with some of our clients and I've spent some time researching this question, but I can't find an answer online so hopefully, someone at MOZ has this data available to them with all the data they collect.

The data points that would be needed to answer this question off the top of my head:

• Increase in the # of Google Searches in the US YoY

• The decrease in CTR for organic results "10 blue links" which take a searcher off of Google YoY, as Google continues to keep more searchers on Google.com with rich snippets, increased AdWords prominence, AdWords extensions, etc

• I'm sure this greatly varies per industry, but an average for all industries is all that is needed to answer this client question.

Many thanks in advance and I've included a video which hopefully helps to better explain the search "plus/minus" that we can expect to see as SEOs in 2018.

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I wanted to get this information on my server by parsing out the double click cookie using javascript. Is this possible?

I believe this is exactly what I was looking for. I will test it out this week.

Thank you very much Paul!

We use Google Analytics and we are currently extracting information from the Google Analytics cookies about our visitors.

Is it possible to access DoubleClick cookies in a similiar fashion and get some demographic/interest information for each visitor to our website (if they have a DoubleClick cookie set)? If so, any information on how to retrieve it would be very appreciated.

Howdy,

Looking for any data we can get on the % of click through the shopping results are getting in Google SERPs.  There are tons of variables: how many products & which position the shopping feeds and images are shown in but any hard data would be helpful.

The background is that we have a client who ranks #1 in Google for a shopping related term and their organic traffic is down in 2011 for this main keyword which has ranked #1 all year since the shopping feeds are continually showing above or below the 1st Google position vs sporadic or no display in years prior.

I.e. They aren't happy the traffic is down & we are looking for some data we can provide them with beyond, "Google shopping is now eating part of your organic traffic for that term".

Many thanks in advance!!

Actually Carl, Big commerce should have rel=canonical automatically formed but unfortunately the automatically generated rel=canonical has errors.

For example:

Pagination issues.

For page 2 the rel canonical it generates points to page 2 rather than page 1(which is the main page)

http://www.troisfemmesboutique.com/brands/Ya-Los-Angeles.html - this is the main page

http://www.troisfemmesboutique.com/brands/Ya-Los-Angeles.html?page=2&sort=featured - this is page 2 (check the rel=canonical for this page, you will know what I mean)

And if you add content on the main page, it duplicates it to the inside pages too. So rel=canonical would be perfect in this circumstances but you can only do so much with big commerce.

You can either hard code to fix this issue or just use robots.txt to disallow sorts!

Hope this helps.