MSP Strategy June 16, 2026 · 6 min read

MSP Pricing Models: Per-User vs. Per-Device in 2026

Choosing the right pricing model impacts your margins and client relationships. We break down per-user vs. per-device pricing for modern MSPs.

Pricing is the single most impactful decision an MSP makes, yet many providers set their rates once and never revisit them. The shift from per-device to per-user pricing has been underway for years, but 2026 brings new considerations: remote work has permanently expanded the number of devices per user, cloud services blur the line between "device" and "workload," and AI-powered automation is changing the cost structure of service delivery entirely.

When Per-User Pricing Wins

Per-user pricing simplifies billing and aligns with how vendors like Microsoft license their products. A typical knowledge worker today uses a laptop, a phone, and accesses multiple cloud applications. Under per-device pricing, that's three billable units. Under per-user pricing, it's one — and your client can predict their IT spend based on headcount rather than asset inventory. Per-user pricing also encourages good security hygiene because users aren't penalized for having a properly managed phone alongside their laptop.

When Per-Device Still Makes Sense

Per-device pricing remains relevant for environments with a high device-to-user ratio — manufacturing floors with shared terminals, healthcare facilities with medical devices, and retail locations with POS systems. In these scenarios, per-user pricing undervalues the management effort required. The key is understanding your client mix and being willing to offer both models depending on the environment. Many successful MSPs use per-user pricing as the default but switch to per-device for specific verticals where it better reflects the actual workload.

Whatever model you choose, revisit your pricing annually. Factor in your actual cost-to-serve data, not assumptions. If your automation and tooling have reduced your labor cost per endpoint, you can either improve margins or reduce prices to win more competitive deals — but you need the data to make that decision intelligently.

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