<?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/bc43ee7e69864c08bac9ae5ace543306&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/bc43ee7e69864c08bac9ae5ace543306-f134b22e061a261f.gif</thumbnail_url><duration>432.918</duration><title>Importing Customer Data and Finding Lookalike Prospects Using the Origami System</title><description>In this video, I walk you through how to import a list of current customers into the Origami system and have it analyze them to find new lookalike prospects. I demonstrate the process of uploading a CSV file and how the system identifies nearly 5,000 potential matches based on our customer profile, including details like business model and industry. After generating a new table of 30 top scoring companies, I explain how you can refine this list further by identifying decision makers and enriching their contact information. I encourage you to explore the system&apos;s capabilities creatively and to request additional similar companies if needed. Let&apos;s strategize and execute on these insights to expand our reach!</description></oembed>