<?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/7ba0097afda248aab1e669cf1581980e&quot; frameborder=&quot;0&quot; width=&quot;3340&quot; height=&quot;2505&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>2505</height><width>3340</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>2505</thumbnail_height><thumbnail_width>3340</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/7ba0097afda248aab1e669cf1581980e-97279d46aeee1e3f.gif</thumbnail_url><duration>170.217</duration><title>C101 Bonus - Local Businesses &amp;amp; Lookalikes</title><description>This Loom explains two Search capabilities in Clay beyond the 101 tutorial: local businesses and company look-alikes. It notes that the default datasets often focus on corporate and tech professionals found on social and professional networks like LinkedIn, so brick-and-mortar targets such as gas station owners and franchises require using Google Maps with free text business types and location filters. It also introduces native company look-alikes, replacing earlier enrichment and write-to-table workflows. The speaker demonstrates using an audience segment, adding precision to find similar PE firms, and optionally excluding specific companies.</description></oembed>