video1.0<iframe src="https://www.loom.com/embed/f61b151cedc741239b2210d1dffa2e5c" frameborder="0" width="1280" height="960" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>9601280Loomhttps://www.loom.com9601280https://cdn.loom.com/sessions/thumbnails/f61b151cedc741239b2210d1dffa2e5c-95ee8410daca9dc2.gif205.982This Loom explains a solution for creators to diagnose why a video flops by analyzing how well the content matches the creator’s style and current trends. It notes that performance analytics such as 3.2 CTR and 41% retention may not tell the creator what specifically went wrong. The project claims there are two main reasons posts underperform: they do not sound like the creator or they do not follow the trend. For a demonstration, it used Adam’s data from 15 videos to show which videos drove specific insights, including style fit, trend fit, and engagement details.