Managed Services Pricing is NOT a formula

Managed Services Pricing Is Not a Formula

It’s a Business Model — and It Looks a Lot Like Insurance

Every few months, the same question resurfaces in managed services communities:

“What’s the best way to price managed services?”

Per device? Per user? Do you count servers, firewalls, SaaS apps, or sites? What about client attitude (the PITA factor).

Entire frameworks are built around answering that question, and yet most operators still feel uneasy every time they quote a new client. That discomfort is telling us something important:

Managed services pricing is not a formula problem.  It’s a risk management problem.

Managed Services as a Business Model (Not a Pricing Trick)

At its core, managed services is not about charging for labor. It’s about selling predictability.

Clients want:

• A stable monthly cost
• Fewer surprises (downtime)
• Confidence that problems will be handled

Providers want:

• Predictable revenue
• Controlled margins
• Less firefighting
• Predictable labor scheduling (proactive vs. reactive)

That alignment is what makes the all-you-can-eat / fixed-cost model powerful. But it only works if we stop pretending we can perfectly predict effort up front.

The Dirty Secret of Pricing: The “Pain in the Ass” Factor

After years of research, modeling, and real-world data analysis, there’s an uncomfortable truth most pricing models avoid: The biggest driver of cost is client behavior, not device counts.

Two clients with identical environments can generate wildly different service demand based on:

• Leadership maturity
• Decision velocity
• Technical debt 
• Change frequency
• Communication patterns

This is what many operators jokingly call the “pain in the ass factor.” It’s subjective, hard to quantify, and absolutely real. No spreadsheet truly captures it.

Why New Client Pricing Feels So Risky

Here’s the paradox:

• Existing clients → You have real data
• New clients → You’re guessing

Most pricing anxiety exists only because operators are trying to:

• Win the deal
• Not lose money
• While pretending certainty exists

But certainty only exists after you have operational history. Which brings us to insurance.

Managed Services as an Insurance Model

Insurance companies don’t price policies by knowing exactly what will happen.

They price based on:

• Historical data
• Risk pools
• Probability distributions
• Ongoing adjustment

They use actuarial models to make an educated bet. And that’s exactly what managed services pricing should be.

Think About It This Way:

Insurance Concept	Managed Services Equivalent
Policy premium	Monthly managed services fee
Risk pool	Your client base
Claims	Support tickets & escalations
Actuarial tables	Your historical service data
Loss ratio	Effective hourly rate (EHR)  / Agreement Gross Profit % (AGP%)
Policy adjustment	Price increases, scope changes

You are not selling hours. You are underwriting operational risk.

Pricing New Clients = Underwriting Risk

When you quote a new managed services agreement, you are making a best-educated guess based on:

• Your existing client data
• Your best and worst performers
• Your operational maturity

That quote is not a promise of cost accuracy. It is a risk acceptance decision.

And just like insurance:

• Some clients will be profitable
• Some will be less so (perhaps a few new ones will not be at first)
• The model works at scale, not per account

What Happens After “Claims” Start Coming In

Once the agreement is live, reality replaces theory. Tickets arrive. Patterns emerge. The risk profile becomes visible.

At that point, strong operators:

• Measure service demand objectively
• Compare clients against each other
• Improve the worst clients
• Replicate the best ones

Weak operators panic and re-price everything. The difference is expectation.

Why This Model Encourages Faster Sales

When you accept managed services as a risk-based model:

• You stop over-engineering proposals
• You reduce friction in the sales process
• You sell confidence instead of math

Clients don’t buy your pricing formula. They buy your competence and accountability. Speed improves because you’re no longer chasing certainty that doesn’t exist.

The Caveat: Data Matters

This model only works if:

• You have enough clients to form a meaningful risk pool
• You track service data consistently
• You are willing to adjust over time

For most operators, that means:

• A minimum of ~10–15 managed clients
• Or sufficient capital to absorb early volatility

Just like insurance startups, undercapitalized providers trying to sell fixed-cost services without data are gambling — not underwriting.

You Can Do Better Than Insurance Companies

Just like insurance startups, undercapitalized providers trying to sell fixed-cost services without data are gambling — not underwriting. But here’s the key difference:

You are not an insurance company.

Insurance companies price risk and hope to avoid claims. You price risk and then actively reduce it. You are selling your own services. That gives you something insurers don’t have:

Control over outcomes.

You Can Actively Reduce Your Risk

Unlike insurers, MSPs can:

• Deliver preventative projects
• Eliminate recurring issues through standardization
• Automate away user-driven errors
• Reduce ticket volume without reducing value

Every improvement you make:

• Lowers future service demand
• Improves client experience
• Increases your effective margins

The client keeps paying the same monthly fee (and receiving the same if not more value).  The work required to support them goes down. That’s leverage!

This Is Where the Model Compounds

This system scales extremely well. As your client base grows:

• Your data improves
• Your risk predictions tighten
• Your automation investments pay off repeatedly
• Your standards reduce variability

Each new client doesn’t just add revenue — they improve the system itself. This is the opposite of time-and-materials work, where every dollar earned requires more effort. Managed services, done correctly, is a compounding business model.

The Real Question Isn’t “How Do I Price?”

The real question is:

“Do I understand my risk — and do I have the discipline to reduce it over time?”

If the answer is yes:

• Pricing becomes simpler
• Sales move faster
• Margins improve naturally

If the answer is no:

• No formula will save you
• And no per-device model will protect you

What This Means for Your Business?

Much of what I help Cdaeris clients do is guide them through these models, and help refine it to a winning offering.

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