<?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/b1380b80867943b7b64a887399ed91b4&quot; frameborder=&quot;0&quot; width=&quot;2904&quot; height=&quot;2178&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>2178</height><width>2904</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>2178</thumbnail_height><thumbnail_width>2904</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/b1380b80867943b7b64a887399ed91b4-7c4504ef7338ebeb.gif</thumbnail_url><duration>227.255</duration><title>Retail Media Analytics with Natural Language Insights 🚀</title><description>Hi, I am Kyle McDonnell, and I show how ThoughtSpot helps retail media teams and suppliers access performance questions instantly with natural language, no analyst or dashboard dependency. I ask for the top 10 suppliers by Roas this quarter, then Roas by Campaign versus Category Benchmark to add business context. Next I identify suppliers spending over 50k with Roas below category average, and I show the governed code under the hood. I then demonstrate automation by setting an alert for Roas dropping below the category benchmark for three consecutive days. No action is requested from you, just feel free to ask questions.</description></oembed>