What is Price Benchmarking?
Price benchmarking is the process of comparing your pricing against external reference points: competitors, market averages, customer willingness to pay, and industry norms. The goal is to understand whether you're priced too high (leaving growth on the table), too low (leaving revenue on the table), or misaligned with how your market perceives value.
For SaaS and AI companies, benchmarking is how you answer the question every founder, CFO, and pricing committee asks: "Are we priced right?"
What gets benchmarked
Price benchmarking covers more than just the number on the pricing page.
Dimension | What you're comparing | Why it matters |
|---|---|---|
Headline price | Your list price vs. competitors for comparable tiers | The most visible comparison. Where most benchmarking starts and, unfortunately, often stops |
Pricing model | How you charge (per seat, per usage, per outcome, hybrid) vs. how competitors charge | A lower headline price on a usage model can cost more than a higher seat price at scale |
Packaging | What's included at each tier vs. what competitors include | A feature gated behind your Enterprise tier might be in a competitor's mid-tier |
Discounting | Your average discount depth and frequency vs. market norms | If you're discounting 30% on every deal and the market average is 15%, your list price is fiction |
Value metrics | What unit you charge on vs. what competitors charge on | Charging per seat when the market has moved to per-usage puts you on the wrong side of the trend |
Contract structure | Annual vs. monthly, commitment levels, ramp schedules | Competitors offering monthly billing when you require annual commits affects close rates |
Expansion mechanics | How customers grow their spend over time vs. alternatives | Net revenue retention depends on how natural the expansion motion is |
Benchmarking only headline price is the most common mistake. Two products at $50/user/month can have wildly different total cost of ownership based on what's included, how overages work, and what happens at scale.
Where benchmarking data comes from
Source | What it tells you | Limitations |
|---|---|---|
Public pricing pages | Competitor list prices and packaging at each tier | Enterprise pricing is almost always "contact us." List prices don't reflect actual deal prices |
Win/loss analysis | What competitors quoted in deals you won or lost | Requires disciplined sales process. Data is anecdotal and subject to buyer framing |
Industry reports | Market-wide pricing trends and model adoption rates | PricingSaaS, OpenView, ICONIQ, Bain publish annual data. Broad trends, not company-specific |
Customer conversations | What customers are willing to pay and what alternatives they've evaluated | The most valuable source, and the most underused. Requires structured WTP interviews |
Third-party databases | Aggregated SaaS pricing data from tools like Vendr, Spendflo, Vertice | Shows actual contract prices, not list prices. Coverage varies by market segment |
Sales team feedback | Which objections relate to pricing and where deals stall | High signal, but often conflated with "they said it was too expensive" when the real issue was value perception |
The best benchmarking combines public data (what competitors show) with private data (what customers actually pay and what they'd be willing to pay). Neither source alone gives you the full picture.
How to run a pricing benchmark
A useful benchmark follows a structured process, not a one-off Google search of competitor pricing pages.
Step | What to do | Output |
|---|---|---|
1. Define the comparison set | Identify 5-8 direct competitors and 2-3 adjacent alternatives (including "do nothing" and "build in-house") | Competitor list with pricing page screenshots and model descriptions |
2. Normalize for model differences | Convert different pricing models to a common unit (e.g., total annual cost for a company with 50 users processing X volume) | Apples-to-apples cost comparison at 2-3 customer scenarios |
3. Map packaging differences | Document what's included at each tier across competitors | Feature comparison matrix showing where you over-index or under-index |
4. Gather internal data | Pull win/loss data, discount frequency, average deal size, expansion rates | Quantified view of how your pricing performs in market |
5. Run WTP conversations | Interview 10-15 customers and prospects using a structured willingness-to-pay framework | Direct signal on perceived value, price sensitivity, and competitive positioning |
6. Identify gaps | Compare your pricing to the benchmarks across all dimensions | Specific, actionable findings: "We're 40% above market on entry tier but 20% below on enterprise" |
7. Decide what to change | Prioritize adjustments based on revenue impact and implementation feasibility | Pricing roadmap with clear actions, owners, and timelines |
Benchmarking for AI and hybrid pricing
AI products face a specific benchmarking challenge: the pricing models are so varied that comparing on price alone is misleading.
Company A | Company B | Same product? |
|---|---|---|
$99/user/month, includes 1,000 AI credits | $49/user/month + $0.05 per AI action | Depends entirely on usage volume |
500 credits/month, $0.10 per extra credit | Unlimited AI features, $149/user/month | Company A is cheaper below 1,500 actions, more expensive above |
$0.99 per resolved ticket | $199/month flat for AI support bot | Company A costs less at low volume, more at high volume |
When pricing models differ, benchmarking requires scenario analysis: model the total cost for a customer at 3-4 different usage levels to see where each competitor is cheaper and where they're more expensive. A single comparison at one usage level can be completely misleading.
Common benchmarking mistakes
Mistake | What goes wrong |
|---|---|
Comparing list prices only | Enterprise deals are discounted 15-40%. List price benchmarks overstate what competitors actually charge |
Ignoring model differences | A $30/seat competitor with usage caps may cost more than a $50/seat competitor with unlimited usage |
Benchmarking once | Pricing changes constantly. PricingSaaS tracked 8,394 pricing events across 498 companies in 2025. Annual benchmarking misses the moves |
Copying competitor pricing | Competitors may be wrong. Their pricing reflects their cost structure and strategy, not yours |
Skipping customer input | Benchmarks tell you what the market charges. Customers tell you what the market values. These aren't the same thing |
Not acting on findings | The most common failure. Companies run benchmarks, produce a report, and change nothing because their billing system can't support the recommended changes |
That last point is where most benchmarking exercises die. You discover your entry tier is overpriced, your enterprise tier is underpriced, and your credit conversion rates don't reflect current AI costs. But changing any of it requires engineering work because your pricing logic is hardcoded. The benchmark insight is usable only if your billing infrastructure can execute the change.
Have questions about your pricing?
Solvimon has worked with hundreds of companies navigating the transition from simple subscriptions to hybrid, usage-based, and AI-driven pricing models. We've seen how companies at every stage benchmark, where the biggest pricing gaps hide, and what it takes to close them.
If you're unsure whether your pricing is competitive, whether your packaging reflects how customers buy, or whether your billing infrastructure can support the changes you need to make, we can help you diagnose it.
Ready for billing v2?
Solvimon is monetization infrastructure for companies that have outgrown billing v1. One system, entire lifecycle, built by the team that did this at Adyen.
Advance Billing
AI Agent Pricing
AI Token Pricing
AI-Led Growth
AISP
ASC 606
Billing Cycle
Billing Engine
Consolidated Billing
Contribution Margin-Based Pricing
Cost Plus Pricing
CPQ
Credit-based pricing
Customer Profitability
Decoy Pricing
Deferrred Revenue
Discount Management
Dual Pricing
Dunning
Dynamic Pricing
Dynamic Pricing Optimization
E-invoicing
Embedded Finance
Enterprise Resource Planning (ERP)
Entitlements
Feature-Based Pricing
Flat Rate Pricing
Freemium Model
Grandfathering
Guided Sales
High-Low Pricing
Hybrid Pricing Models
IFRS 15
Intelligent Pricing
Lifecycle Pricing
Loss Leader Pricing
Margin Leakage
Margin Management
Margin Pricing
Marginal Cost Pricing
Market Based Pricing
Metering
Minimum Commit
Minimum Invoice
Multi-currency Billing
Multi-entity Billing
Odd-Even Pricing
Omnichannel Pricing
Outcome Based Pricing
Overage Charges
Pay What You Want Pricing
Payment Gateway
Payment Processing
Penetration Pricing
PISP
Predictive Pricing
Price Benchmarking
Price Configuration
Price Elasticity
Price Estimation
Pricing Analytics
Pricing Bundles
Pricing Engine
Proration
PSP
Quote-to-Cash
Quoting
Ramp Up Periods
Recurring Payments
Region Based Pricing
Revenue Analytics
Revenue Backlog
Revenue Forecasting
Revenue Leakage
Revenue Optimization
SaaS Billing
Sales Enablement
Sales Optimization
Sales Prediction Analysis
Seat-based Pricing
Self Billing
Smart Metering
Stairstep Pricing
Sticky Stairstep Pricing
Subscription Management
Tiered Pricing
Tiered Usage-based Pricing
Time Based Pricing
Top Tiered Pricing
Total Contract Value
Transaction Monitoring
Usage Metering
Usage-based Pricing
Value Based Pricing
Volume Commitments
Volume Discounts
Yield Optimization
Why Solvimon
Helping businesses reach the next level
The Solvimon platform is extremely flexible allowing us to bill the most tailored enterprise deals automatically.
Ciaran O'Kane
Head of Finance
Solvimon is not only building the most flexible billing platform in the space but also a truly global platform.
Juan Pablo Ortega
CEO
I was skeptical if there was any solution out there that could relieve the team from an eternity of manual billing. Solvimon impressed me with their flexibility and user-friendliness.
János Mátyásfalvi
CFO
Working with Solvimon is a different experience than working with other vendors. Not only because of the product they offer, but also because of their very senior team that knows what they are talking about.
Steven Burgemeister
Product Lead, Billing
