<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/1291a485ace04d1cb92984eea3099eb4&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/1291a485ace04d1cb92984eea3099eb4-1fea75ccfafbe7df.gif</thumbnail_url><duration>103.467</duration><title>Quick A B Email Testing Demo</title><description>This Loom demonstrates how to A-B test cold email versions to determine which one books more 15-minute calls. Jeffrey compares version A versus version B and asks respondents which email would make them more likely to book, with an optional demographic focus by factors like age, gender, income, and party. He runs a flash review with 50 respondents targeting Columbus, Ohio (with other U.S. pools available). The test serves 25 database respondents per version, synthesizes the results, and returns a recommendation in as little as a few seconds, typically in 5 or 10 seconds.</description></oembed>