Archive

Monthly Archives: July 2019

Heatmaps And A/B Testing

Like other correlative data sets, heatmaps are often used incorrectly to make decisions about a visitor experience. This video will review how to strategically use heatmaps with your split testing to get the maximum value for your visitors. We will also cover the 2 things to avoid doing as you use your site’s heatmaps.

By using your heatmaps the right way, you will be able to optimize your site faster and get that valuable and intuitive visual analysis with your testing.

In this video, you will learn several things to improve your testing efforts including:

  • How correlative heatmaps can hurt your optimization efforts
  • The danger of using click only heatmaps
  • The benefit of analyzing mouse movement heatmaps
  • The 4 steps to follow to get the most value out of your heatmap and testing data

Testing Theory is where professional testers turn to do better A/B testing and get more conversions.

Zoom Zoom A/B Testing Strategy

The Zoom Zoom A/B testing strategy will help you get better testing results by helping you focus on the things that matter most. Too many split testers test things that are so granular that they don’t even matter. This results in tests that have low lifts or no lift at all.

By following the Zoom-Zoom testing strategy you will be able to identify what matters to your visitors and get bigger gains faster because you will know where the value is.

In this video, you will learn several things to improve your testing efforts including:

  • How to avoid testing things that are too granular
  • What it means to zoom out with your business question
  • What a zoom zoom sandwich is
  • The 4 steps to following the Zoom-Zoom Testing Strategy

Testing Theory is where professional testers turn to do better A/B testing and get more conversions.

Creating a Culture of Optimization

Good A/B testing isn’t about just running split tests. Conversion Rate Optimization is about creating a data-driven culture inside the company. This video will cover 6 ways to build a data-driven culture of optimization. As you do each of these things you will create a stronger optimization practice.

Here are the six steps and the things that we will cover.

1. Get Test Results

2. Evangelize Results Broadly

3. Ideation From The Company

4. Create Infrastructure

5. Integrate Testing Widely

6. Cross-Functional Team

Testing Theory is where professional testers turn to do better A/B testing and get more conversions.

WebsiteBox Existence Testing

This A/B testing example shows a case study from WebsiteBox.com. The very first two tests we did with them helped us learn how to prioritize our testing to make future tests even more valuable.

These tests show how to do a back to back existence knockout punch that would be great for the first two tests of any site. 

This video will help you learn a ton about foundational tests to jumpstart your split testing.

In this video, you will learn several things to improve your testing efforts including:

  • The efficiency of existence testing current pages and content
  • Learning over lift approach
  • Learning regardless of loss in lift
  • How the relative impact of existence testing helps prioritize efforts
  • How to do a reverse existence test
  • Combination effect of elements
  • Redesign based on the discovered value of elements relative to each other

Testing Theory is where professional testers turn to do better A/B testing and get more conversions.

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