<?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/0589be1af2794e6cbb5ca2ba311d6434&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/0589be1af2794e6cbb5ca2ba311d6434-48e0c37b89503425.gif</thumbnail_url><duration>346.98</duration><title>Ideal Customer Profile</title><description>In this video, I explain what an Ideal Customer Profile (ICP) is and how it can significantly enhance our business growth by identifying the firmographic and technographic attributes of our best customers. I also introduce the concept of an ICP training dataset in AdRollABM, which requires at least 200 accounts to create a predictive model that scores accounts from A to F based on their fit. I encourage you to segment your account list using these fit grades to prioritize our highest potential customers and optimize our advertising budget. Additionally, by syncing our training data, we can discover new accounts that align with our ICP. Please consider adding your closed won opportunities to help us build a robust dataset.</description></oembed>