Pricing set years ago is revenue left on the table today.
We rebuild your pricing model from the ground up - so it reflects what your product is worth and grows with your customers.





What can we do for your business?

Rebuild your pricing model from the ground up
Whether you're moving off per-seat, restructuring tiers, or pricing a product that's changed significantly since launch - we redesign the full model around what customers actually value, not what was easiest to implement.

Set a price level backed by data
Gut-feel pricing leaves you either overpriced or underpriced - both are expensive. We run willingness-to-pay research and competitive benchmarking to set a price your sales team can defend and your customers will accept.

Migration off a broken model
Per-seat suppresses expansion. Credit-based misaligns incentives. If your pricing model made sense at launch but doesn't fit where the product is now, we design the migration - and protect ARR while you make the switch.

Design packaging that converts
Tiers that don't reflect how customers buy create friction at every stage of the funnel. We restructure packaging around real usage patterns and segment needs - so the right customer lands in the right plan from the first conversation.
We map your pricing before we change it
Pricing Strategy covers both halves of the waterfall - upstream, where value is created and captured in your list price, and downstream, where that price holds or leaks through discounting and renewals. We start with the diagnosis, not the recommendation.
The invoice is not the whole cost.
Compare time, internal load and the cost of what never ships—not just the project fee.
See what better pricing could unlock.
Estimate the annual impact using your own numbers.
What happens after you say yes
Diagnose
Before the first paid conversation, we map where your value is leaking. We review your pricing page, product, positioning, and competitive landscape.
8-week sprint
Hypothesis-led, not exploratory. We confirm or disprove specific, costed hypotheses
Ship the system
You get a working pricing system and an Agentic Repricer that keeps monitoring performance after we're gone. Not a deck. A system already running.
A good fit looks like this

B2B SaaS or AI-native company. 40+ headcount (20+ for AI-native). No dedicated Head of Pricing.
A product that delivers measurable economic value - but pricing that doesn't reflect it. AI features live. Packaging designed around engineering constraints, not customer segments.
Founder, CEO, CRO, VP Product who owns the strategic monetization decisions.
If your sales team discounts to close, your AI features went live without a pricing decision, or your customers leave at renewal without knowing what they paid for - this is the right starting point.
Pricing changes that show up in revenue
Find the value hiding in your business
With data, not gut feel. We run willingness-to-pay research with your real buyers, benchmark against how the market prices, and model the impact of each option against your deal data. Gut-feel pricing leaves you either over- or under-priced - and both are expensive.
Less risky than leaving it. We work hypothesis-led and treat your current model as the baseline - it holds until the data proves a change is worth it. Nothing goes live on a hunch; every move is validated and costed before you commit to it.
Not if the migration is designed properly. We model exactly who’s affected before anything changes - who’ll accept an increase, who’s a retention risk, who should be grandfathered. Existing customers get a deliberate transition, not a blanket price hike. Protecting ARR through the change is part of the work, not an afterthought.
Yes - this is one of the most common engagements we run. Migrating an existing base off per-seat is a high-risk operation, so we handle it in stages: segment the base by usage, design a grandfathering path that makes the new model attractive, and put new customers on the new model first to gather data before touching existing accounts.
We start with a diagnostic. If the prior strategy was sound, we build on it - the gap is usually in execution, not the idea. Most “didn’t stick” pricing work failed because it ended as a document with no system to keep it alive. We ship the system, not the recommendation.
A rebuilt pricing model, a data-backed price level, a migration plan that protects your existing revenue, and an Agentic Repricer that keeps monitoring performance after we leave. A working system, already running - not a deck.




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