A/B Testing is a method of using two variations of data to be shown to different sets of people, each variation has a defined goal which
can be tracked as a conversion. The higher coversion for either variation is generally then used from then on. Further A/B experiments on that
variation can then continue.
A/B Testing has gained in popularity in recent years thanks to it's simplistic approach to testing and the increase in ease-of-use tools
to perform testing.