A/B Testing and Creating Hypothesis

Creating an Hypothesis

A hypothesis is a theory on how to correct or improve something on your website in order to create more focus on the important information. The data you have in Google analytics will help you create a hypothesis on what to fix in your site. For example, say you have important information at the bottom of your screen and you notice through analytics that most viewers are only scrolling 33% to 66% of the website, therefore missing the important information at the bottom of the screen. to fix this problem we will need to add a hypothesis to create viewers to scroll 100%. We can do this by creating an A/B test to see what helps viewers see the information on the bottom of the screen. One could be placing the information at the top of the screen and the other test could be a button that says “read more” or “click for more information”. and then see which has greater views by duration or page scrolling.

What is A/B Testing?

A/B testing is used to see which format or model woks better for your website. You can set up these tests so a certain percentage of your audience sees one format and another percentage sees the other. during these tests you will test variant A (original) versus variant B (new) and compare them. to do this you must pick an action you would like to test. Like page scrolling, impressions, video plays, duration and other viewer behaviors.

According to the optimize resource hub, the steps to creating an A/B Test are

  1. Go to your Optimize Account (Main menu > Accounts).
  2. Click on your Container name to get to the Experiments page.
  4. Enter an Experiment name (up to 255 characters).
  5. Enter an Editor page URL (the web page you’d like to test).
  6. Click A/B test.
  7. Click CREATE.


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