Today, we are happy to announce the first major update to Website Optimizer. (For those who are unfamiliar with Website Optimizer, we've blogged about it before here and here.)
The first feature that we've added is a wizard for creating A/B split experiments. A/B tests are ideal for testing how well different page layouts perform and for pages that don't get a lot of traffic. Although you can perform A/B testing in Google Analytics, using Website Optimizer simplifies the process and makes it really easy to set up experiments and view results. Watch this demo to learn how to set up an A/B experiment.
We've also improved the experiment list display. Your most recent experiments appear at the top and you can now delete experiments.
Finally, we've added My Client Center Access Manager. Now, with permission from their client accounts, agencies can access Website Optimizer directly through the My Client Center.
We've published a testing strategy that details how to set time on page as a conversion goal and an article describing how we look at full factorial versus fractional experimental data analysis.
For more details, visit the Website Optimizer site or read the Inside AdWords blog post.
Peter Harbison
The first feature that we've added is a wizard for creating A/B split experiments. A/B tests are ideal for testing how well different page layouts perform and for pages that don't get a lot of traffic. Although you can perform A/B testing in Google Analytics, using Website Optimizer simplifies the process and makes it really easy to set up experiments and view results. Watch this demo to learn how to set up an A/B experiment.
We've also improved the experiment list display. Your most recent experiments appear at the top and you can now delete experiments.
Finally, we've added My Client Center Access Manager. Now, with permission from their client accounts, agencies can access Website Optimizer directly through the My Client Center.
We've published a testing strategy that details how to set time on page as a conversion goal and an article describing how we look at full factorial versus fractional experimental data analysis.
For more details, visit the Website Optimizer site or read the Inside AdWords blog post.
Peter Harbison
