A/B Testing (Messages)

A/B testing of messages is the controlled experimentation process where two or more AI-generated variants are shown to different user groups to compare performance. Metrics may include open rate, click-through rate, and conversion. For marketers and prompt engineers, A/B testing provides evidence-driven feedback about prompt quality, tone, and offers, enabling continuous optimization of Ai Messages without guessing what will resonate. A/B testing of messages is the controlled experimentation process where different AI-generated variants are shown to separate user cohorts to compare performance. Metrics often include open rate, click-through rate, and conversion. For marketers and prompt engineers, systematic A/B testing turns prompt ideas into evidence-backed improvements rather than guesswork.