<?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/382ef2d5532441e8ae28c1066f09372a&quot; frameborder=&quot;0&quot; width=&quot;1966&quot; height=&quot;1474&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1474</height><width>1966</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1474</thumbnail_height><thumbnail_width>1966</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/382ef2d5532441e8ae28c1066f09372a-00001.gif</thumbnail_url><duration>127.633</duration><title>Charm&apos;s Sophistication Score Analysis</title><description>In this video, I will be explaining Charm&apos;s sophistication score, which is calculated using machine learning models to determine how sophisticated a brand is compared to others in our database. This score helps our customers understand a brand&apos;s likelihood of adopting new technologies or processes. I will use the example of Sporty &amp; Rich, whose sophistication score is 72.2, meaning they are more sophisticated than 72% of other brands we track. I will also show you how we calculate the sophistication score by analyzing the technology stack of brands. No action is requested from viewers in this video.</description></oembed>