A/B Testing or Split Testing

A/B testing, or split testing, is a method used in advertising and marketing to compare two versions of a campaign. Imagine you have two different ads: Ad A and Ad B. You show Ad A to one group of people and Ad B to another group. By measuring which ad gets better results—such as more clicks, sign-ups, or purchases—you can determine which version is more effective. This helps businesses make data-driven decisions to improve their marketing strategies and maximize their results. It's essentially a way to test ideas and find out what works best.