What is A/B Testing?
“An A/B test is a randomized experiment using two or more variants of the same web page (A and B). Variant A is the original and variant B through n each contain at least one element that is modified from the original.” Once we find the two variants, we can start working to find out what it is that we are ultimately looking for. We also need to find out what we will be testing on in order to start the process.
Identifying the Problem
Identifying the problem is the first step in effective A/B testing. Without having an actual problem on our hands, there is no point in even testing at all. Once we find out what our problem is, we can then figure out which type of hypothesis to test and form the hypothesis in a way that will yield us the results that we believe we are looking for. A great example of a hypothesis that we could create for the purpose of A/B testing is to change the layout of our webpage from a dark blue look to a yellow look. We will then measure the engagement and traffic on the webpage to see if there are any changes.