What Is A/B Testing?
A/B testing, also known as split testing, refers to a randomized experimentation process where two or more versions of a variable (web page, page element, etc.) are shown to different segments of website visitors at the same time to determine which version leaves the maximum impact and drives business metrics.
Who Uses This Method and Why?
A/B testing is used by data engineers, marketers, designers, software engineers, and entrepreneurs, among others who are looking to boost their website traffic flow and conversion rate. A/B testing allows individuals, teams and companies to make careful changes to their user experiences while collecting data on the impact it makes. This allows them to construct hypotheses and to learn what elements and optimizations of their experiences impact user behavior the most.
What Are the Steps to Set Up the Test?
Define your goal and hypothesis for the test, such as improving conversion rates of a specific page or element. Choose a tool or platform to run the test, such as Optimize, Google Analytics, or other software. Create your variations and assign them to different segments of your audience. Launch the test and monitor the results using metrics and statistical methods. Analyze the data and draw conclusions based on the best performing variation.
