Last week Google announced 3 upgrades that will make testing with the tool significantly easier and more powerful. Below I discuss each of the upgrades and how they can enhance testing with Google Analytics
1. Ability To Copy Experiments
This new functionality is valuable as it allows marketers to perform additional tests to the same page without modifying the codes, which makes the process much shorter. In order to copy an experiment, go to your experiment results page and click on “View settings”.
2. Support For Relative URLs For Variation Pages
This upgrade is extremely important as it allows website owners to test different page versions without having to create multiple URLs, they can simply create a version that has a different URL parameter (either using a “?” or a “#”). This is critical, for example, for ecommerce websites that want to test different versions for a product template page. Using relative URLs they will now be able to to that.
In addition, it is important for websites using multiple domains (such as Top Level Domains) where the URL is the same with the exception of the domain. According to the help article:
Relative URLs offer more flexibility in defining the location of the variations. Content Experiments takes the concept of relative URLs as used in hyperlinks since the early days of HTML and applies it to the definition of variations. This means the variations may inherit parts of the original URL (e.g. the domain, the domain and path, etc.). Using relative URLs doesn’t conflict with parameter propagation. This means that any parameter not specified in the variation will be copied over from the original page at runtime.
3. Improvements To The Experiments Report
Google added standard report capabilities to the experiment reports, such as: Site Usage (Pages/Visit, Time on Page, Bounce Rate and % of New Visits), Goal Sets (includes all goals), Ecommerce, and Adsense. This means that from now users will be able to compare the page variations based on all the metrics, not only the goals defined while setting the experiment.
Google will improve the tool in fast pace.