A/B Testing

A/B Testing is a method for optimizing marketing campaigns by testing two variants (A and B) against each other. In AI marketing, A/B tests are conducted automatically and continuously optimized through machine learning. The AI analyzes user behavior in real-time and dynamically adjusts content, subject lines, or call-to-actions to maximize conversion rates.