AI is helping SaaS teams predict churn risk early and trigger the right retention play—before a renewal is at risk—by combining usage, sentiment, support, and billing signals into explainable health and renewal forecasts. Product analytics now auto‑build predictive cohorts that reveal which paths lead to drop‑off versus expansion, turning insights into targeted actions at scale. … Read more
Introduction Customer churn is a silent growth killer for SaaS businesses—every lost user means wasted acquisition spend, lost recurring revenue, and diminished market confidence. In 2025, proactive customer support has emerged as the most powerful lever to retain clients, boost lifetime value, and build lasting advocacy. Instead of waiting for problems, leading SaaS brands preempt … Read more
Introduction Churn is one of the most critical challenges for SaaS companies. Losing a customer not only affects recurring revenue but also increases acquisition costs, since replacing a lost customer is often more expensive than retaining one. One of the most effective strategies to reduce churn is leveraging customer health scores. By quantifying the engagement, … Read more