• A/B testing, also known as split testing, refers to a randomized experimentation process. Where in two or more versions of a variable (web page, page element, etc.) are shown to different segments of website visitors at the same time.

• This process is control and data are collected to determine which version leaves the maximum impact and drive business metrics.

• Smart Add decided to measure and collect experiment data where they tracked visitors that were served two different type of ads.

• The best tests for campaign or site optimization take a simple approach to testing. This allows a clear objective to be realized and avoids a tendency many researchers have to test for too many variables.

• The question Im testing is simple, “Does the exposed group click the Bio button at a higher rate than the control group?”

Link to full project below:

GitHub Repository for this Project