<?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/8cead68627d54eb78f2219601e274465&quot; frameborder=&quot;0&quot; width=&quot;1730&quot; height=&quot;1297&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1297</height><width>1730</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1297</thumbnail_height><thumbnail_width>1730</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/8cead68627d54eb78f2219601e274465-6b42558f77c78b72.gif</thumbnail_url><duration>258.4699</duration><title>Understanding Company Changes through Job Data Analysis 📊</title><description>Hi, I&apos;m Rafael from NewSequence.io. Today, I share insights on using job data to identify company changes. Analyzing job postings can reveal when a company is evolving or adopting new technologies/services. By spotting specific hires, like BDRs or SDRs, we can predict expansion and potential clients. I demonstrate using CLAY to find active job openings, extract relevant data with AI, and generate personalized outreach strategies. This method optimizes sales efforts and enhances client targeting.</description></oembed>