<?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/ab3750fdb50d47c2b6a0fc05e96e10dd&quot; frameborder=&quot;0&quot; width=&quot;1114&quot; height=&quot;835&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>835</height><width>1114</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>835</thumbnail_height><thumbnail_width>1114</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/ab3750fdb50d47c2b6a0fc05e96e10dd-00001.gif</thumbnail_url><duration>186.16666666666666</duration><title>Overview of Uploading Data for a Holdout Test</title><description>In this video, I, Shane Miss, the CTO of Faraday, provide a quick overview of the data that needs to be uploaded for a holdout test. I guide you through the process of signing up on app.faraday.ai, quitting test mode, and creating new data sets in CSV format. I explain the required fields for the CSV, such as first name, last name, address, city, state, zip, and mail or date. I also mention the optional fields like email, email hash, and phone. The main goal is to match leads with our demographic dataset based on their PIIs. I demonstrate how to save the files as CSVs and mention the importance of the conversion date file. No specific action is requested from the viewers.</description></oembed>