{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/48da4f7db56b4416a3d86ad4a762a0b9\" frameborder=\"0\" width=\"1932\" height=\"1449\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1449,"width":1932,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1449,"thumbnail_width":1932,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/48da4f7db56b4416a3d86ad4a762a0b9-30a4f073acd2c7e9.gif","duration":651.733,"title":"How I analyze ad performance data","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."}