Not a deck you'll forget about. Not a framework that sounds good in a boardroom but falls apart in front of a real buyer. A pricing architecture you can actually use.
Book a free callMost SaaS companies treat pricing like a one-time decision. Pick a number, put it on the page, move on. Then six months later the board's asking why net retention is slipping, sales keeps discounting off-menu, and the self-serve funnel converts at half the industry average.
The real issue isn't that the price is wrong. It's that nobody built the architecture underneath it — the packaging logic, the conversion mechanics, the discount governance, the upgrade path. The stuff that actually determines whether a pricing page makes money or just looks nice.
That's the gap I fill. I don't hand you a PDF with recommendations. I build the thing with you and make sure it holds up when a real buyer shows up.
Built from data you already have. A model you can defend — not another thing to interpret.
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.
Research, model, assets, and I'm in the deals with you. For founders in a competitive motion or a raise who need a pricing 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.
Launched pricing for an AI product with no competitive anchor and a wildly variable cost structure — average cost per user was ~$25, but the median was $0.25. Self-serve had wildly different usage patterns from contracted. 10% of users drove 90% of the spend. The CEO wanted adoption, the CFO wanted margin, the CTO wanted revenue. Three different directions. I built the framework that got everyone aligned on how much burn we'd tolerate and how long, shipped a seat-based model for simplicity with iteration built in, and dove in with the team to close deals.
Most pricing consultants will interview your team, build a model, hand you a deck, and wish you luck. The math looks right. Then you get into a real deal, a buyer pushes back, and you cut 50 points off your margin because the number never felt defensible. I watched a founder do exactly that — not because he didn't believe in his product, but because his pricing was never built to be defended in a room.
That's not a sales problem. It's a pricing problem — specifically, pricing that was never built to be defended.
I spent years owning pricing inside Grafana Labs. Not advising on it — running it. I repriced a product that hit $5.1M ARR in five months with minimal churn. I priced an AI agent that drove $1,000,000 in revenue in its first 30 days. I built the Federal Cloud deal structures — multi-million dollar competitive takeouts at 80%+ gross margins, designed so the math worked not just in a spreadsheet but across from a real buyer.
The thing I learned: the best pricing isn't the cleverest model. It's the model you can walk into a room and stand behind.
I started f13i because early-stage founders don't have access to that operator experience. I can compress that learning curve from years to weeks.
If you want a slide deck, I'm not your guy. If you want pricing you can defend in a deal, a pitch, or a data room — let's talk.
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.com