Who loves GA Secondary Dimensions and Pivot Functions? I do, And so will you!

Ever since starting at LunaMetrics, I’ve become increasingly immersed in and enthralled by Google Analytics. I thought I knew a lot about it before, but every day I find out about a new way to mine and organize the data I need on a day to day basis. I also think it’s interesting that the more one knows about how to do things, the more one comes to rely on the resulting reports.

My recent find, thanks to my coworker Jim, is a unique use of the new secondary dimensions and pivot function.

Keyword Research and Google Analytics

There are a number of ways to do keyword research using Google Analytics, but until the addition of the secondary dimensions, there was no easy way of extracting actionable data from keyword reports generated by Google Analytics.

For instance, have you ever done a GA keyword report, found an unexpected keyword in the top ten and wondered where in heck the user found your site by searching for it? Well, now you don’t have to wrack your brains and search through every single search engine ever created.

Lets say you are doing keyword research. You want to find out the following:

Generating the GA Keyword Pivot Chart

All of these things can be found in one easily generated report. Here’s now to create it:

  1. Go to Traffic Sources in the Dashboard and choose Keywords
  2. Refine your report by clicking “Non-Paid” so that you only see keywords used in organic search
  3. Choose “Pivot” From the available views. (This is where it gets good!)
  4. Keep the default Pivot selection “Source”
  5. Keep the default metric “Visits”
  6. Add “Bounce Rate” from the adjacent drop-down.
  7. Keep the dimension “Keyword” then add “Landing Page” next to it.

Voila. You have a list of keywords, what landing page they go to, where the visitors came from and bounce rates or whichever metric you’re most interested in.  If you get a lovely list of branded search terms, use the advanced filters to exclude those keywords. It’s much easier now that you don’t have to type in all the regular expressions anymore. Here’s a screenshot of what the final product should look like:

GA Secondary Dimensions for Keyword Research

There are many things this information can tell you among which are:

I hope you found this report as useful as I find it! I’d love to hear about other uses or variations. Feel free to comment!

Share and Enjoy:
  • Print
  • email
  • Digg
  • Reddit
  • StumbleUpon
  • del.icio.us
  • Google Bookmarks
  • Facebook
  • Twitter

Related Posts

  1. Dimensions vs Metrics: What's the difference?
  2. Matching Keywords with Landing Pages
  3. Are Your Emailed Reports from GA Missing Something?
  4. Slash Pay-Per-Click Costs Using Negative Keywords
  5. The new AdWords reports

5 Responses to “Who loves GA Secondary Dimensions and Pivot Functions? I do, And so will you!”

[...] the original post: Who loves GA Secondary Dimensions and Pivot Functions? I do, And so will you! Share and [...]

Loren Hadley says:

Great post! I killed 2 hours this evening playing with it. Looking in the Ecommerce tab and playing with the revenues and conversion rates was enlightening too.

Claudiu says:

Like always, great post.
The pivoting feature increases exponentially the data available at this point in Google Analytics. Which is great cause we get to have access to more and not so great cause the noise increases as well. I didn’t get a chance to do something actionable with the new feature but your post will prove a good starting point. :)

Thanks and keep em coming. :)

Steve Mann says:

wow – just checked out the pivoting feature of GA – its just what i have been looking for to get rid of the wrong traffic and redirect the wanted traffic.

Adrian says:

I love love love the pivot chart! So glad you pointed this out :-)

I was actually playing around with it and thought I had an interesting analysis: which keywords attract people who look more at our higher priced product (sidenote: our client is doing well with lower end product, so we’re trying to find those that want higher priced product but are not converting). But, I don’t know if I’m going about this the right way. You can see more here: http://brandingme.tumblr.com/post/242769378/analytics-homework-help Opinions welcome!

Leave a Reply

Feedback Form