We took a deep-dive into churn data across hundreds of MSPs — and what we found challenges some common assumptions about which clients are at risk. High-efficiency clients, clients without active project work, and low-revenue accounts all showed elevated churn rates in the aggregate data. Here’s what the patterns reveal, and why it matters for any MSP focused on EBITDA growth.

AI isn’t the advantage anymore. Everyone has it. What separates firms now is how well they execute, operationalize, and manage the growing complexity across services, pricing, and delivery.

Many MSPs rely on industry benchmarks to gauge performance, pricing, and profitability — but those comparisons often miss the realities of how each business actually operates. Different service models, client expectations, and delivery methods make “average” metrics misleading. This blog explains why benchmarking against your own data leads to clearer insights, better decisions, and more predictable profitability.