A/B Testing

A/B Testing is a statistical method that compares two versions of marketing content (Version A vs. Version B) to determine which performs better based on a specific metric. Also known as split testing, this controlled experiment helps marketers make data-driven decisions by showing different versions to similar audiences and measuring which generates superior results.