<?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/ec09391cdafe40dda6999642dcd9b769&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/ec09391cdafe40dda6999642dcd9b769-83fd2687d58a8710.gif</thumbnail_url><duration>202.581</duration><title>Clay outbound for a thin-data market: 278 HVAC companies to 136, and what broke|||</title><description>This Loom explains how the creator built a Clay-based outbound playbook to find and reach out to residential HVAC owner-operators in Dallas Fort Worth. They start with 278 HVAC-related companies, narrow by name keywords (HVAC, heating, cooling, mechanical) to 136, and review each list for a real reason to contact such as job posts in the last 90 days. A Google Business Profile scanner checks ratings, review counts, Google guarantee status, and field software, and the system was adjusted to return JSON only and avoid guessing, leaving fields blank when unknown. Email lookup proved difficult, finding verified emails for only four people across the 136 companies, so calls are prioritized and email sequencing includes a one-word reply ask with spam checks showing green in Clay.</description></oembed>