Usage-based, consumption, AI-native — the models where one customer costs you $0.25 and the next costs you $25, and your price still has to hold margin across both. I've priced these from the inside. I'll build yours to survive a real deal, not just a spreadsheet.
Book a free callMost SaaS pricing was never built to be defended.
I watched a founder cut 50 points off his price the second a buyer pushed back — not because the number was wrong, but because there was nothing underneath it. No packaging logic, no story, nothing to hold the line with. So it folded.
The number is never the real problem — the missing architecture underneath it is. And when your cost moves with usage, that gap bleeds margin on every deal. I don't hand you a PDF. I build it with you, and make it hold when a real buyer shows up.
Months of debate, and a number nobody will defend.
Weeks of work, and a number you can hold in a live deal.
5% of users drive 90% of the cost. The buyer can't see it. You can't pass it through without losing the deal.
I launched pricing for exactly this at a $450M+ ARR company: an AI product with no competitive anchor, an average cost per user around $25 but a median of $0.25, self-serve usage nothing like contracted.
I aligned the CEO, CFO, and CTO on how much burn to tolerate and for how long, shipped a seat-based model with iteration built in, and got in the deals to close them.
The lever: a fair use threshold only the heaviest 5–10% of users ever feel — without touching the other 90%. See the fair use teardown →
Start here. In 60 days you walk away owning a pricing model you can defend in a live deal — whether or not we ever work together again. The artifacts below are yours to keep either way.
I run the customer interviews. You get a model backed by real willingness-to-pay data — segment by segment, with floor, ceiling, and optimal price points. No gut feels.
For companies pricing a product whose cost moves — usage-based, consumption, or AI-native. Research, model, assets, and I'm in the deals with you. A monetization partner, not a deliverable.
A recurring call where we work through your live deals together. I help you build proposals, structure the ROI case, and hold the price. No more discounting because the number didn't feel defensible.
Runway-friendly: Companies under $500K ARR pay $1K/mo during engagement — remainder due only upon closing your round.
I spent years owning pricing inside Grafana Labs — running it, not advising on it. The best pricing isn't the cleverest model. It's the one you can walk into a room and stand behind. Here's the thinking. Go verify it.
The Fair Use Policy teardown → The exact AI-cost lever from the launch above — designed so only the heaviest 5–10% of users ever feel it.
How to Know If You Have a Pricing Problem → The pricing problems founders keep mistaking for marketing problems.
The AI launch: $1M ARR in 30 days → Pricing built from scratch at a $450M+ ARR company — cost structure and all.
Frameworks, teardowns, and lessons from the field.
30-minute call. No pitch. Just an honest look at your pricing and what's holding it back.
Book a Free Call → me@f13i.comAsk the model trained on real pricing engagements — my frameworks, office hours, and client work. Free, no booking.
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