Google Analytics Content Experiments is now open to all Google Analytics users, and the free tool can be found under the Content section of the Standard Reporting page.

Content Experiments debuted back in June, and it can help set up different test versions of a landing page or home page to figure out what kind of page design is most effective at meeting specified goals. 

New Features Improve Experiments

Now that Content Experiments is ready for the masses, a couple of new features have been added with more on the way, Google promised. The experiment report has been updated with Analytics-report features like Site Usage and E-commerce tabs and the ability to alternate between which versions should be plotted in the graph. 

Additionally, support for relative URL's has been added. This is perfect for those running multiple experiments across domains or pages. Experiments can also now be copied, and that means once an experiment is completed, it can be run again without any further page modifications. 

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Analytics reportage blended together with Experiments data.

 

No More Website Optimizer

Google will sunset the standalone Website Optimizer on August 1. It's been integrated into Analytics as Content Experiments, and there's only a few steps needed to set it up. The one super basic tip is to make sure to have a solid idea of what is to be accomplished with the experiments. The obvious one is to complete more conversions, and to figure out which Web page design will do it. 

We all want our websites to be more effective, and it can seem like a never ending battle. Content Experiments should be able to help with this, but it also could be a little too much awesome for those analytics junkies out there. You know who you are. As if you don't monitor your site statistics enough already, here you get to play around with different versions of your site to see which is most effective! Fun! Or not, if that's how you roll.

Let us know in the comments if you get excited about analytics or if it's one more thing you simply worry too much about.