A/B Split Test
Sometimes called online controlled experiments or randomized controlled experiments, A/B split tests are a simple yet very useful strategy in online marketing. The process is very much like a simple controlled experiment done in Science class, except this one involves two variants or factors in your online business’ web page to find out which or the two will work better in promoting your business’ growth with reference to an outcome of interest that you wish to increase or maximize.
Collect Data
Your analytics will often provide insight into where you can begin optimizing. It helps to begin with high traffic areas of your site or app, as that will allow you to gather data faster. Look for pages with low conversion rates or high drop-off rates that can be improved.
Run Experiment
Kick off your experiment and wait for visitors to participate! At this point, visitors to your site or app will be randomly assigned to either the control or variation of your experience. Their interaction with each experience is measured, counted, and compared to determine how each performs.
Identify Goals
Your conversion goals are the metrics that you are using to determine whether or not the variation is more successful than the original version. Goals can be anything from clicking a button or link to product purchases and e-mail signups.
Analyze Results
Once your experiment is complete, it’s time to analyze the results. Your A/B testing software will present the data from the experiment and show you the difference between how the two versions of your page performed, and whether there is a statistically significant difference.