<?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/a403afa445454e9fb7d3dbe49c0d3372&quot; frameborder=&quot;0&quot; width=&quot;1670&quot; height=&quot;1252&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1252</height><width>1670</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1252</thumbnail_height><thumbnail_width>1670</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/a403afa445454e9fb7d3dbe49c0d3372-a521813a0364d023.gif</thumbnail_url><duration>973.141</duration><title>$1k/Day Dashboard Morning Routine for Meta and Sales</title><description>This Loom focuses on how the author uses automated dashboards to track Meta ad performance against actual sales data. They update a Meta versus Books dashboard weekly by reconciling Meta MCP results with daily transactions and leads stored in Airtable, using Claude for a five minute accuracy check and flagging assumptions or dirty data. For the last 30 days, two campaigns show different outcomes: Beyond the Scroll challenge paid for itself on cash with $7,900 spent and $12.7k made (ROAS positive), while Coffee with Claude was not break even and may require checking tracking. They also review longer term cohorts since February 2025, reporting nearly 14,000 people, about $89,000 spend, roughly $180,000 gross revenue ROAS of 2.02, and rising average spend per lead over time.</description></oembed>