AI reduces churn when it’s applied to the right signals, triggers timely interventions, and closes the loop with measurable outcomes. The goal is a proactive retention system: predict risk early, fix the root causes in‑product, and orchestrate human follow‑ups only when they matter. Build a high-signal churn model Orchestrate targeted, ethical save plays Fix churn … Read more
AI‑driven churn models work when they’re grounded in clean product signals, explainable drivers, and tight handoffs to save plays. The goal isn’t just a better AUC—it’s fewer surprise cancellations and higher net retention through timely, targeted interventions. Start with a clear problem and definitions Build a robust data foundation Features that consistently add signal Model … Read more
Introduction Cloud infrastructure enables SaaS startups to scale fast and innovate—yet, without proper cost controls, it can silently erode profit margins. As SaaS competition accelerates in 2025, mastering cloud cost optimization is not just a technical issue, but a strategic lever for sustainable profitability. Why Cloud Costs Are Critical for SaaS Profitability Key Strategies for … Read more