“One size fits all” is one of the fastest ways to break pricing—because SaaS, Professional Services, and Marketplaces monetize fundamentally different kinds of value, even when they look like they solve the same customer problem.
If you’ve ever watched a team copy a pricing model from a different business type (“Let’s do seats!” / “Let’s just bill hourly!” / “Let’s take 20%!”) and then spend the next 12 months drowning in discounting, exceptions, or churn… this is why.
Below is the mental model I use with teams to keep pricing grounded in what you’re actually monetizing.
The core mental model: What are you monetizing?
Across these three models, you’re typically monetizing one of the following:
- Product value (and scale) → SaaS
- Outcome value (and risk transfer) → Professional Services
- Match value (and liquidity) → Marketplaces
When pricing fails, it’s usually because the business is trying to monetize the wrong “unit of value.”
1) SaaS: Price the productized value (and scale)
SaaS pricing works best when it’s built to do two things at once:
- Align price with customer value creation
- Scale without negotiation
That’s why most strong SaaS pricing architectures have three components:
A) Anchor to a value metric that grows with value
Common value metrics include:
- Seats / active users
- Usage (transactions, API calls, GB stored)
- Workflows / automation runs
- Output or outcome proxies (reports generated, models trained, etc.)
The direction of travel in software has been clear: more companies are moving toward usage-based approaches, especially in higher-growth segments. Source: The art of software pricing: Unleashing growth with data-driven insights (McKinsey, 2023)
Practical rule: If customers can get 10x value while paying the same amount, you’ve picked a weak metric (or you need better expansion packaging).
B) Package into clear editions so expansion is a feature—not a negotiation
“Good / Better / Best” packaging remains popular because it’s easy to understand and creates a clean upgrade path. It also reduces the burden on Sales to custom-build every deal. Source: 072720 Thales Subscription Monetization (Felix Khron / OpenView-referenced material)
Your editions should be intentionally designed around:
- Different use cases / maturity levels
- Different willingness-to-pay
- Clear “unlock moments” (features, limits, governance, integrations)
C) Keep adoption low-friction (when your CAC + onboarding supports it)
Trials and freemium can work—but only if:
- Time-to-value is short
- Activation is measurable
- Support costs don’t explode
- Your conversion path is designed (not hoped for)
SaaS failure mode when you import the wrong model
SaaS priced like services tends to produce:
- Endless exceptions
- High discounting
- “Custom pricing” sprawl
- Slower scale because revenue requires negotiation
Also watch for metric overload. Some companies end up with dozens of metrics and price points—customers experience bills as unpredictable and hard to trust. Source: McKinsey (2023)
Sources: McKinsey (2023); Pricing Insights from 2200 SaaS Companies (OpenView, 2021); Thales Subscription Monetization (2020)
2) Professional Services: Price the outcome + risk (not the effort)
Services pricing breaks the moment you let hours stand in for value.
Clients aren’t buying your internal labor model. They’re buying:
- An outcome they can’t reliably produce themselves
- Reduced uncertainty
- Speed, judgment, and risk reduction
A critical reality in services: cost to deliver and perceived value are only partially related—and clients often don’t understand what goes into delivery. That gap creates mismatched expectations and buyer anxiety. Source: Value-Based Pricing for Professional Services Firms (Hinge, 2021)
And yes: fear of “overpaying” is real, so packaging and value communication matter almost as much as the number. Source: Hinge (2021)
A practical maturity path: T&M → Fixed packages → Value/outcome options
You don’t need to jump straight to full outcome-based pricing. A pragmatic progression looks like:
- Time & Materials (simple, but caps upside and penalizes efficiency)
- Fixed-fee packages (better alignment; requires scope clarity)
- Value-based / outcome-based options (best alignment; requires strong measurement and qualification)
Packages are often the bridge because they:
- Make scope explicit
- Reduce negotiation surface area
- Shift the conversation from “rate” to “result”
Services failure mode when you import the wrong model
Services priced like SaaS tends to produce:
- Under-monetized customization
- Delivery risk that isn’t paid for
- Margin surprises (“we sold the dream and staffed the nightmare”)
If every client implementation is materially different, pure “editions + seats” will almost always underprice complexity and accountability.
Source: Value-Based Pricing for Professional Services Firms (Hinge, 2021)
3) Marketplaces: Price the match + liquidity (and manage disintermediation)
Marketplace pricing is a different animal because value creation is two-sided:
- You create value by matching supply and demand
- You keep value by maintaining liquidity and trust over time
Most marketplace monetization is some mix of:
A) Take rate (transactional)
The classic marketplace lever is a percentage of GMV. The key is that take rate needs to feel proportional to what the platform contributes (acquisition, matchmaking, trust, payments, dispute resolution, etc.). Source: Digital Pricing Strategy: Capturing Value from Digital Innovations (Platforms & Marketplaces)
Take rates vary widely by category and platform value-add (the same source notes very low to very high take-rate examples depending on context), which is a reminder that “what’s the standard take rate?” is usually the wrong question.
B) Subscriptions / tools for suppliers (the “workflow engine”)
Many marketplaces evolve into a hybrid:
- Transactions engine (take rate)
- Supplier SaaS (subscription)
- Demand capture (ads/promotion)
This is often where the most durable monetization appears—because tools increase retention and reduce leakage.
C) Promotions / ads / lead-gen
Advertising can become a major monetization layer in mature ecosystems—sometimes effectively functioning like a platform “tax” on attention and placement. Source: Digital Pricing Strategy (Platforms & Marketplaces)
The strategic tension: supplier LTV vs. off-platform leakage
If you create very high customer lifetime value for suppliers (e.g., you connect them to a whale account) without enough lock-in, you invite disintermediation (off-platform deals). This is explicitly called out as a strategic challenge in platform monetization. Source: Digital Pricing Strategy (Platforms & Marketplaces)
Marketplace failure mode when you import the wrong model
Marketplace priced like SaaS tends to produce:
- Weak incentives for liquidity (especially early)
- Misaligned monetization timing (charging before value is proven)
- Higher leakage risk if you monetize tools but don’t defend the transaction loop
Source: Digital Pricing Strategy (Platforms & Marketplaces)
The takeaway: The 3 most common “imported pricing” disasters
When teams copy-paste pricing across these models, they typically land in one of three failure modes:
- SaaS priced like services → exceptions, discounting, stalled scale
- Services priced like SaaS → under-monetized customization + delivery risk
- Marketplace priced like SaaS → weak liquidity incentives + disintermediation
So if you’re building (or pivoting) across models, start here:
The diagnostic question
What exactly are we monetizing—product value, outcome value, or match value?
Then pressure-test your pricing design against these “fit” checks:
- Metric fit: Does the unit you charge on reliably track value creation?
- Packaging fit: Does the structure reduce friction and support expansion?
- Risk fit: Who holds delivery risk—and is pricing compensating for it?
- Ecosystem fit: Are incentives aligned to create/maintain liquidity and trust?
A practical next step (if you’re mid-pivot or hybrid)
Many modern companies blend models (e.g., SaaS + implementation, or marketplace + supplier SaaS). In that case, don’t force one mechanic to do all the work.
Instead, separate monetization into clear layers:
- SaaS layer: scalable value metric + editions
- Services layer: packaged outcomes with explicit scope and risk boundaries
- Marketplace layer: take rate + tools + promotion (with leakage defenses)
Discussion question and next steps
What pricing model have you seen teams “import” from another business type that caused the most damage?
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Sources: The art of software pricing: Unleashing growth with data-driven insights (McKinsey, 2023); Pricing Insights from 2200 SaaS Companies (OpenView, 2021); Value-Based Pricing for Professional Services Firms (Hinge, 2021); Digital Pricing Strategy: Capturing Value from Digital Innovations (Platforms & Marketplaces); Thales Subscription Monetization (2020)
