video1.0<iframe src="https://www.loom.com/embed/e53c4fabc0d24540aa67d9bf8c1239b0" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/e53c4fabc0d24540aa67d9bf8c1239b0-8b51d40732ba92bf.gif178.21This Loom explains Churn Sense for predicting SaaS churn 30 to 60 days before cancellation. It shows a churn risk dashboard for about 120 customers, where accounts are scored nightly and high risk accounts are highlighted. Using SHAP analysis, it identifies specific drivers such as no logins for 7 days, a drop in active seeds from 8 to 2, a support ticket, and an NPS decline from 8 to 4 over 90 days, with the risk trending upward gradually. When an account crosses a threshold, it automatically sends a Slack alert and can generate an AI save email, and setup takes about 10 minutes with an optional CSV upload.