A/B Testing

A/B testing is the method of splitting website traffic to a page in order to compare how it performs to a different version. A/B testing validates opinions and continuously optimizes your website. Our team of experts will work with you to develop and execute an entire testing plan to help you maximize your conversions.

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Why A/B Test?

Increase Conversions

A/B testing is a simple and effective method to determine the best content, design, or layout to convert visitors.  Knowing what works and what doesn’t helps you make the right changes to your site, helping you drive conversions.

Improve User Experience

Creating variables for A/B tests is essentially creating a list of potential improvements for your website. Meaning, the simple act of running A/B tests will make your final version better for your visitors. Updating the site with the “winning” variation will improve the user experience, optimizing it for success.

Reduce Bounce Rates

A/B testing reveals the combination of elements that help keep visitors on your site longer. The more time your visitors spend on site, the more likely they’ll discover the value of your content, ultimately leading to a conversion.

Reduce Risks

Sometimes making major revisions to your site can be costly or significantly alter your business strategy. A/B testing helps you examine visitor behavior on your site before committing to major decisions so you can avoid unnecessary risks.

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Our A/B Testing Process

  • 1

    Collect Data

    We start by reviewing your analytics to determine where we can begin optimizing your website, typically on high traffic pages with low conversion rates or high drop-off rates.

  • 2

    Identify Goals

    We define conversion goals to determine whether or not the variation is more successful than the original version.

  • 3

    Develop Hypothesis

    Next, we'll develop hypotheses for why we believe our test variation will be better than the current version.

  • 4

    Create Variations

    We'll make the desired changes to an element of your website. 

  • 5

    Run the Experiment

    At this point, the experiment goes live and we wait for visitors to participate. 

  • 6

    Analyze the Results

    Once the experiment is complete, we analyze the results to determine whether there is a statistically significant difference between the two versions. 

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Ready to get started?

Find out how we can run A/B testing on your website in order to optimize your conversions!

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