By Sotheary Chan
April 10, 2024

How to use Google Optimize for ab testing?

You have now completed several steps in creating your website. You have taken the time to place each word, chosen colors, selected button types, and configured pages to make it appealing. Before making your website available, you decide to do A/B tests on Google. How do they work more precisely?

Setting up Optimize on Google Analytics

When you initiate an A/B test on Google (also known as AB testing), you need to set up Optimize on your website. You must first have a Google Analytics account. Then you create your account on goole optimize to associate it with your account.

Conducting your A/B test

Step 1: Study your target audience

Before starting your test, it is necessary to gather information about your target audience, such as their behavior, demographic profile, and any information that may interest the website visitor. Seek as much information as possible to be able to prepare an attractive web page to capture their attention. The heat-map can be a useful tool to know where your target audience stopped and what interests them on your webpage.

Step 2: Formulate your hypotheses

The advantage of conducting A/B tests is that it allows you to test concepts instead of relying solely on intuition. This will also help achieve optimal results and fine-tune your efforts before making a webpage available. In essence, it is about maximizing the chances of success by testing different elements that will prompt the visitor to explore further on your website. For example, colors, photos, or buttons that will guide the visitor through the desired journey.

Step 3: Create your variations

After creating your test page in your Optimize account, create several variations in which you want answers to your hypotheses.
Usually, one model will seem to work better. This acts as the parent model, which will be compared with each variant. So A is the parent model and B is the variant. For example, A/B tests, A/C, A/D, and so on. You can create multiple variations for a single test.
Another example for a landing page: you can check if the response rate for the box with personal information is higher when placed on the right or left.
You can also test the words or text on your landing page. Are they persuasive? Do they suggest an interesting offer? Which words are used to appeal to a specific target audience?
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Step 4: Choose the best time to start the test

The variations should be launched at the best time of day and based on target audience behavior to gather the most information between model A and the variants. This way, your tests will yield measurable performance results. They will also follow changes in customer behavior.

Step 5: Interpret the results of A/B tests

Next, you can review your results and determine which model best meets your goals. You can continue the test until a confidence level of 95% is reached or after 2 weeks of running. A/B testing is not possible for video campaigns, app promotion campaigns, and Google Shopping campaigns.
Related Tags
Conversion Rate
Google Analytics
Google Optimize

About the author

Sotheary Chan

Sotheary Chan

Blogger at helloDarwin

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