<?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/48da4f7db56b4416a3d86ad4a762a0b9&quot; frameborder=&quot;0&quot; width=&quot;1932&quot; height=&quot;1449&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1449</height><width>1932</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1449</thumbnail_height><thumbnail_width>1932</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/48da4f7db56b4416a3d86ad4a762a0b9-30a4f073acd2c7e9.gif</thumbnail_url><duration>651.733</duration><title>How I analyze ad performance data</title><description>In this video, I walk you through my process of analyzing and interpreting data to optimize marketing campaigns, using a real-life scenario with ads from a test project. I focus on key metrics like thumb stop rate, unique click-through rate, and cost per click to identify top-performing ads. I highlight that while some ads may capture attention, they may not attract the right audience, which affects their efficiency. I conclude by identifying the top three ads based on their specific messaging and performance metrics. I encourage you to consider these insights when evaluating your own campaigns.</description></oembed>