A/B Testing

A/B testing, also known as split testing, is a marketing experiment where two versions of a web page, email, or other marketing asset are compared by showing the variants to similar audiences and analyzing which version performs better based on a specific conversion goal. This method involves changing one variable, such as the call-to-action text, design elements, or content layout, while keeping other elements constant. It's a powerful tool for understanding user preferences and behavior, allowing marketers to make data-driven decisions to optimize websites, emails, and ads for better engagement and conversion rates. A/B testing is essential for improving user experience and increasing the effectiveness of digital marketing campaigns.