video1.0<iframe src="https://www.loom.com/embed/2aa4a052d9734d059f5166bff14fcbc3" frameborder="0" width="2520" height="1890" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>18902520Loomhttps://www.loom.com18902520https://cdn.loom.com/sessions/thumbnails/2aa4a052d9734d059f5166bff14fcbc3-f112be63cb83f0e2.gif97.066667This Loom explains how an AI content decisioning agent can optimize sports campaign messaging by testing different voice tones across email, SMS, and mobile push. It demonstrates three subject line variants for a weekly Premier League campaign offering a £10 free bet, ranging from enthusiastic with emojis to a more direct and a personal tone. The same tone variations can be applied to the body text and the call to action button text. The agent splits variants equally at first, then continuously adjusts distribution based on performance tracked in mission control to maximize engagement.