{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/b1380b80867943b7b64a887399ed91b4\" frameborder=\"0\" width=\"2904\" height=\"2178\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":2178,"width":2904,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":2178,"thumbnail_width":2904,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/b1380b80867943b7b64a887399ed91b4-7c4504ef7338ebeb.gif","duration":227.255,"title":"Retail Media Analytics with Natural Language Insights 🚀","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."}