Description

A/B testing, also known as split testing, is a methodical process of comparing two versions of a webpage, email, or other marketing assets to determine which one performs better. By making data-driven decisions based on A/B testing results, businesses can optimize their marketing campaigns and website performance, ultimately maximizing Return on Investment (ROI). A/B testing hinges on the principle of changing one variable at a time to see which variation elicits a better response from the audience. This guide outlines the best practices for conducting effective A/B testing to enhance your marketing strategies.