Pricing / willingness to pay

The Operator's Playbook for Usage-Based Pricing Models

Emily Ellis · 2025-11-14

Usage-based pricing is one of those ideas that gets more attractive the closer you are to the product team and less attractive the closer you are to the finance team. Your CTO will tell you it's the future of B2B software. Your CFO will tell you it makes the revenue forecast harder to defend.

They're both right. Your job as an operating partner is to figure out which consideration matters more for your hold period thesis, and to design the pricing model accordingly.

What's at Stake

The cost of getting the usage-based pricing decision wrong runs in two directions.

Moving to pure usage-based pricing in a business without a committed minimum baseline converts predictable annual recurring revenue (ARR) into variable revenue. In exit due diligence, buyers who can't forecast your revenue base will discount their valuation or apply a lower multiple. A $60M ARR business with 80% of revenue on committed contracts looks different from a $60M ARR business where 60% is usage-based with no minimum. The latter will frequently attract lower bids from strategic acquirers who are building financial projections.

Staying on seat-based or flat-rate pricing when your best customers are heavy users means leaving expansion revenue unrealized. A customer using your product at five times the median usage but paying the same as a median customer is a monetization leak. In a business where the top quartile of customers by usage is driving 50% of the product's value, a seat-based model is subsidizing the median customer at the expense of exit value.

The Method

Three decision gates for your operating team before recommending any pricing model change.

Step 1: Establish whether a clear value metric exists. Usage-based pricing only works if there's a single, measurable activity that correlates tightly with the value customers get from the product. API calls, transactions processed, records analyzed, seats actually used versus seats licensed: these are potential usage metrics. If there's no single metric that customers agree represents their value, usage-based pricing will create confusion rather than alignment.

Step 2: Model the revenue impact of three scenarios before committing. Run your existing customer base through a pure usage-based model, a hybrid model (committed minimum plus usage upside), and a tiered model that caps usage within bands before requiring a tier upgrade. For each scenario, calculate the projected ARR from your existing base, the churn risk in customers whose usage is below what a minimum commitment would require, and the expansion upside from customers currently constrained by their existing tier.

Step 3: Design for the exit, not just the product. If your exit timeline is 18-24 months, a major pricing model change is difficult to execute and risky to show in due diligence. A hybrid model that captures some usage-based upside while maintaining committed ARR is usually the right answer for companies within 18 months of exit. Larger model changes belong in years one and two of a hold.

The Common Mistake

A developer tools company at $14M ARR decided to move to pure consumption pricing after seeing competitors announce similar moves. The transition was announced to customers nine months before exit process.

The first cohort of renewals under the new model showed a 22% revenue drop because mid-range customers who had been paying for capacity they didn't use simply reduced their consumption level to match actual usage. The company's ARR declined from $14M to $11M before new customer acquisition partially offset the contraction.

Before: $14M ARR, seat-based pricing, transition to pure consumption announced, no committed minimum structure.

After (corrective): Reintroduced a committed minimum at 70% of the customer's prior ARR, with usage-based upside above that floor. ARR stabilized at $12.5M with a credible growth trajectory from the usage-based upside. Exit process proceeded but at a lower valuation than the pre-transition projection.

Immediate Steps

Pull your usage data for your top 50 customers. Calculate the ratio of actual product usage to purchased capacity or seats. If more than 30% of your customer base is using less than 50% of their purchased capacity, you have a different problem than a usage-based pricing opportunity. You have an adoption problem that will kill any pricing model you try.

Assess Your Commercial Health to identify whether a pricing model change is the right lever for your portfolio company's net revenue retention (NRR) and exit readiness.

Frequently Asked Questions

When should a PE-backed software company consider switching to usage-based pricing?

Usage-based pricing makes sense when there's a clear, measurable unit of value that scales with customer success, when your customer base has highly variable usage across accounts, and when your current pricing model is creating expansion ceilings or early churn. It shouldn't be pursued primarily for competitive reasons or because it's fashionable. The revenue predictability tradeoff is real and matters in exit due diligence.

What's the biggest risk of usage-based pricing for PE-backed companies?

Revenue predictability. Usage-based models introduce variance in monthly revenue that can compress your ARR-based exit multiple if buyers perceive the base as less reliable. The fix is a hybrid model with a committed minimum and usage-based upside, which gives you the expansion NRR benefit without sacrificing predictability. Pure consumption pricing is rarely the right answer for a company preparing for a strategic exit.

Find out where your commercial gaps are.

Take the Free Assessment →