Customer support is dead. Customer success is the new sales. Yet, too many Customer Success Managers are still stuck playing defense, waiting for the cancellation email to arrive before taking action. If you want to protect your ARR, you have to predict the churn before the client even knows they want to leave. We recently stopped reacting and started predicting. By tracking login frequency and core feature usage with a basic AI model, my team reduced churn by 18% in just 3 months. Here is how you can flip the script today: - Map out the 3 behaviors your most successful users exhibit. - Set up an automated health-score alert for when accounts deviate from those behaviors. - Reach out with proactive help, not a sales pitch, the moment that alert triggers. You can't save a relationship if you only show up when they are packing their bags. CSMs, what is the biggest early warning sign of churn you see in your accounts? Hashtags: CustomerSuccess B2BSaaS ArtificialIntelligence ChurnReduction