A/B testing, also known as split testing, is a method used to compare two different versions of a webpage, email, or marketing campaign to determine which one performs better. By randomly presenting variations (version A and version B) to similar audiences, businesses measure user responses such as clicks, conversions, or engagement metrics to identify the most effective option.
Leveraging A/B testing enables organizations to make data-driven decisions, optimize user experience, and enhance conversion rates. This iterative approach reduces guesswork, increases marketing effectiveness, and ultimately drives higher performance and profitability across digital platforms.