An Introduction to Google Optimize

unnamed-1

Google Optimize is a new way to run experiments on your website. In particular, its purpose is to help you bring the best experience to distinct groups of users. It does this by enabling you to test variations of your pages to see how they perform for specific objectives. Users with all levels of knowledge can benefit from this tool, as you can test anything from simple tweaks to complex design changes.

How to Set Up Optimize

To create an account, all you need to do is to pick an account name and a container name. You can then link your container to an Analytics property. Do this by heading to “Accounts” in the main menu and clicking on the container by choosing the edit icon next to “Google Analytics.” Choose the correct Analytics property and one or more Analytics views. The views you select should have few or no filters. Once you’ve done this, click “Save.”unnamed

To run experiments, you then need to add Optimize snippets to your site. It’s best to do this by adding tracking code directly to your site rather than using a tag management solution. Get the snippet by heading to the Experiments page and finding “Container” in the information panel on the right side of the page. Choose “Install Optimize snippet,” click “View Snippet,” and then follow the instructions that appear.

You can add the modified tracking code to the HTML code on all the pages of your site or just those where you want to run experiments. Place it as high as possible in <HEAD>, before all other tracking scripts. It is best to also install a page-hiding snippet to reduce flickering pages and to improve the experience for users with slow connections.

Types of Experiments

Optimize allows you to run three types of experiments: A/B tests, redirect tests, and multivariate tests.

A/B Tests

An A/B test uses different variants of the same webpage to find out which performs best. You can test several different elements, but it is more common to test just a single element at once. With Optimize, you can even use A/B testing on a specific audience.

Run an A/B test by heading to the container name in your account. This will send you to the Experiments page. Click “Create Experiment,” give the experiment a name, and enter the URL. Choose “A/B test” and click “Create.”

Think of a problem you have and develop a hypothesis based on data. For instance, if too few users are clicking on a call-to-action, you could decide to test changing the color of the button. You would then need to make an educated guess as to how many more clicks you would receive by changing the color.

Next, you need to create a variant to test the change against the original. Do this by clicking “Create Variant,” giving your variant a name, and then clicking “Add.” You can repeat this process several times if you want to test more than one alternative to the original.

To edit the variants, click on the variant row. The Optimize visual editor will appear. Click on the element you want to edit and use the editor panel to make the appropriate change. Save each variant and click “Done” when you’re finished.

Finally, if you want a particular variant to appear to users more than others, adjust the variant weight. Do this by clicking “Edit” next to the weight distribution bar and adding a value as a percentage. If you want to revert the variables to all be weighted the same, click “Reset to Equal.”

Redirect Tests

A redirect test is a type of A/B test with the difference that it compares two completely different pages to each other. Instead of just changing elements on a page, it uses separate URLs. This is useful for testing simple pages, like landing pages, and for redesigning existing pages.

To run a redirect test on Optimize, follow the same setup instructions as above but choose “Redirect test.” Optimize will take you to the experiment details page. Here, choose “Create New Variant,” give your variant a name, and enter a destination. You can also enter a description before you click “Add.” Just like with A/B testing, you can change variant weight.

Multivariate Tests

Finally, you have multivariate tests. These are for comparing combinations of elements to see which combination is the most successful. Optimize also allows you to analyze interactions between elements.

To set up a multivariate test, follow the same instruction as before but choose “Multivariate test.” Head to the editor page to create variants and select the Google Analytics view for your experiment.

Use the same process as for creating variants as for an A/B test but add different variants for each section. Create new sections by clicking “+ New Section,” giving each a name and then clicking “Add.”

Switch to the “Combinations” tab to see all the combinations Optimize will test. Here, you can also preview combinations to ensure that they are rendering correctly.

unnamed-1

If you want to ensure that your content and web design is the best it can be for each subset of your target audience, you will benefit from using Optimize. To make the most out of this tool, use your Analytics data with your experiments.

If you like my articles,