<?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/98a0a992cd624a98906e2796349e4094&quot; frameborder=&quot;0&quot; width=&quot;1788&quot; height=&quot;1341&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1341</height><width>1788</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1341</thumbnail_height><thumbnail_width>1788</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/98a0a992cd624a98906e2796349e4094-0e3313373b5ce152.gif</thumbnail_url><duration>1531.136</duration><title>Introducing Revenue at Risk </title><description>This Loom introduces Thematic’s new Revenue at Risk score that connects customer feedback to estimated revenue and ROI. It explains how to set up the score in lenses, including selecting a currency symbol, setting the total customer base (for example 2 million), configuring churn likelihood by filters (such as 20 percent when issues are unresolved versus 5 percent otherwise), and defining customer value by cohort (for example 2,000 default and 2,400 for North, East, and West). The video shows Revenue at Risk used in analysis tools to identify top themes, with an example total revenue at risk of 275 million dollars and a theme like Digital experience at about 119 million dollars. It also demonstrates using Revenue at Risk in Thematics MCP server with Claude to recommend the highest ROI theme, citing a total of about 274.7 million dollars and highlighting work streams like return processes.</description></oembed>