video1.0<iframe src="https://www.loom.com/embed/a0ad84219bfd4170acdd0d685ca6af97" frameborder="0" width="1440" height="1080" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>10801440Loomhttps://www.loom.com10801440https://cdn.loom.com/sessions/thumbnails/a0ad84219bfd4170acdd0d685ca6af97-6ca259147b2c934b.gif82.498This Loom walks through our churn prediction dashboard, a live analytics tool powered by a machine learning model that flags members at risk of canceling before they do. I cover key metrics like active members, monthly revenue, high risk members, and average sessions per week, plus churn risk distribution by martial arts and overall gym trends. I also show the at risk table with risk scores from 0 to 100 percent based on attendance patterns, failed payments, days since last visit, and months as a member. I do not request any specific action in this video.