A/B Testing

Ever wonder if changing a few simple but dramatic things like the colour or position of key elements on your site, could affect the overall user experience and increase conversion rates?

Bigmouthmedia's A/B testing service can help you understand which key elements of your site perform best over others to effectively improve the user experience and increase conversions.

Our A/B testing (also known as split testing) service uses A/B testing tools such as Google Website Optimizer and others to evaluate elements of your landing pages to ultimately improve the user's experience and increase click through rates and conversions.

How does an A/B test work?

In A/B testing, a control page is compared to one or more test pages where a single content or structural element is altered. We use testing tools like Google Website Optimiser to determine which version is better. This is done by splitting website traffic to experiment with each version simultaneously. We can then choose the version that performs best by measuring the results.

What we do

Our usability experts will work closely with you to identify problems with an underperforming landing page. Following that, we will identify the content or structural element(s) that could be affecting the user experience and create a test plan. We will:

• Identify single element to test.
• Create variations (B, C, D..n) for comparison against the current or control version (A).
• Install variations for testing into the testing tool.
• Run test until a clear conclusion can be drawn.
• Provide analysis of the results.
• Install the combination with the highest conversion goal.

What you will receive

We'll monitor your experiment for the duration of the testing period. On completion of your A/B test, you will receive a written report that includes:

• An evaluation of the analytics results performed over the test period
• Recommendations towards final design solution with the highest conversion rate

What's next?

A/B tests and multivariate tests are integral to our conversion optimization service. We encourage all recommendations to be tested with live users to help pin-point performing content, which provides statistical evidence to reinforce the need for the changes you make to your site.