<?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/8d3e9d376de0418eb77a619f7abb04a8&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/8d3e9d376de0418eb77a619f7abb04a8-1baf2bf4e0f9b4b3.gif</thumbnail_url><duration>293.242</duration><title>Setting Up LLM Channel Tracking 📊</title><description>In this video, I walk you through the process of setting up channel tracking for LLM data in Google Analytics. This setup will help you easily identify traffic from sources like ChatGPT, Gemini, and Perplexity. I’ll show you how to create a custom channel group and add the necessary conditions for tracking. Please make sure to follow along and implement this in your own account for better data insights.</description></oembed>