Google Analytics Content Experiments introduced today brings website testing to Google Analytics to "help webmaster meet their goals of measuring, testing and optimizing all in one place."
"Content Experiments helps you optimize for goals you have already defined in your Google Analytics account, and can help you decide which page designs, layouts and content are most effective. With Content Experiments, you can develop several versions of a page and show different versions to different visitors. Google Analytics measures the efficacy of each page version, and with a new advanced statistical engine, it determines the most effective version," explains Nir Tzemah, Google Analytics team.
With this integration, Google Website Optimizer, the standalone tool will be retiring on August 1, 2012. Till, then, you'll be able to access Google Website Optimizer, and any reports for current or past experiments, Google said.
Content Experiments will be gradually rolling out over the next few weeks to all users. " Initially, you'll be able to utilize important features like optimized goal conversions, easier tagging, and advanced segmentation in reports," Tzemah informed.
"We're also working hard to release page metrics, additional goal conversion options and experiment suggestions," he said.
Once available in your account, you can start testing by going to Google Analytics and accessing Experiments within the Content section of your reports.
- Content Experiments comes with a setup wizard that walks you step by step through setting up experiments, and helps you quickly launch new tests.
- Content Experiments reuses Google Analytics tags so that you only need to add one additional tag to the original page.
- Content Experiments helps you understand which content performs best, and identifies a winner as soon as statistically significant data has been collected.
- Since content testing is so important, we've placed Content Experiments just a click away from your regular diagnosis reports in Google Analytics.
For more information on Content Experments, you can refer to this help center, and the watch this video: