A/B Testing

 

A/B Testing, also known as Split Testing and Bucket Testing, is a way of comparing two different versions of anything from websites to an app. According to Mike Sperling, the way it works is by showing versions A and B to a percentage of your consumers and test the outcome or response rate of each one. With that, the one that has the best response rate would be the one you send out to the rest of your consumers.

 

To get into more details on how to perform an A/B testing is by taking it as a scientific experiment:

  1. Start with a question, or the purpose for doing the experiment.
  2. Research consumers’ behaviors through analytics or past experiments.
  3. Make a hypothesis, or statement on the outcome of the experiment.
  4. Figure out the percentage of people you would like to perform the testing on and the length of the experiment.
  5. Perform the A/B Test where A would be the controlled substance and B is the variation.
  6. Analyze the study and conclude which form would be best to go with.

A/B testing is a perfect experiment to perform especially when making changes that could significantly increase leads, sales and revenue. These experiments are great overall because they help construct hypothesis and help get a better understanding of what experiences impact your consumers. If done consistently, it can even help gradually improve your site or marketing items.

 

This kind of testing can be done on anything, really:

-Headlines

-Sub headlines

-Paragraph Text

-Social Proof

-Testimonials

-Call to action

-Links

-Media Mentions

-Images

– Awards and badges

-Content near a fold