video1.0<iframe src="https://www.loom.com/embed/b6e9684d0fb94bfab892e03910179a87" frameborder="0" width="1914" height="1435" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14351914Loomhttps://www.loom.com14351914https://cdn.loom.com/sessions/thumbnails/b6e9684d0fb94bfab892e03910179a87-3137f469a0beb197.gif364.465In this video, I provide an overview of how A-B test reporting works and how it differs from our conventional reporting methods. I showcase an example where a text-to-buy message generated an impressive $126,000 per month in incremental revenue with a 14% lift. I explain that A-B testing measures incremental results by comparing two groups, which can reveal insights that conventional reporting might miss, such as the potential negative impact of overwhelming users with messages. I encourage you to consider how these insights can inform your own campaigns and to explore the A-B test reports available in our system.