{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/e53c4fabc0d24540aa67d9bf8c1239b0\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/e53c4fabc0d24540aa67d9bf8c1239b0-8b51d40732ba92bf.gif","duration":178.21,"title":"How ChurnSense flagged 30 at-risk accounts in a 120-customer SaaS","description":"This 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."}