Pricing
Know your cost to serve.
Build a frontier strategic finance function.
Finance teams at the largest enterprises trust margin with the data behind their biggest decisions.
Backed by operators and investors from
Finance teams at the largest enterprises trust margin with the data behind their biggest decisions.
Backed by operators and investors from
Know your cost to serve.
Forecast revenue and customer value.
Understand profitability, customer by customer.
Revenue in the ERP. Usage in the warehouse. Costs in procurement and vendor contracts. margin pulls it together, structures it, and handles the exceptions with rules you set once.
NetSuite
Snowflake
The models run on your logic. Every number reconciles to the GL. When a new question comes up, you extend a model instead of starting over.
Allocate January’s €60k support costs by customer segment, based on ticket volume.
Allocated using each segment’s share of tickets.
| Segment | Tickets | Cost |
|---|---|---|
| Enterprise | 600 | €36k |
| SMB | 400 | €24k |
Which customers are still profitable after cost-to-serve. How do we price the next product. margin answers from the live models and shows the trail behind every number.
High-touch customers generated €24k before support. Support costs of €30,000 brought contribution profit to −€6k.
January · High-touch customers
| Record | Support team | Cost |
|---|---|---|
| GL-1041 | Customer care | €12,000 |
| GL-1042 | Technical | €10,000 |
| GL-1043 | Escalations | €8,000 |
| Total used in model | €30,000 | |
Weekly reporting, the variance analysis, the checks you run every cycle. margin runs them on schedule, investigates what moved, and sends the finding to your inbox. If nothing breaks, you hear nothing.
Contribution profit is 6.2% below plan.
Customer-level P&L
$50M+
In identified contribution profit.
Segments that looked profitable on the blended view were losing money once support and compliance costs landed.
Leading European neobank
Support footprint redesign
€3M
Of support cost isolated across six months.
The site with the cheapest hourly labor was 2× more expensive per resolved ticket.
Leading European neobank
A more profitable ICP
25%
Improvement in LTV-to-CAC.
The official ICP grouped customers whose lifetime economics differed by multiples.
Leading US neobank
Growth forecast
10×
More accurate on the metrics driving quarterly pricing and growth decisions.
The blended forecast looked stable while every segment underneath it was drifting.
Leading US fintech
Pricing and packaging
3–8%
Expected EBITDA improvement.
List price said almost nothing about what customers actually paid, or what they cost to serve.
Leading global payments company
Onboarding cost per step
0.5–1.5%
Expected EBITDA improvement.
Total KYC spend was known to the dollar. Which steps and risk paths created it was a guess.
Global SME banking platform
Automated variance analysis
95%
Of manual variance investigation automated.
Analysts re-investigated the same classes of anomalies by hand, every single week.
Leading US fintech
Audited controls. Report and scope available to your security team under NDA.
Your data never trains our models or a vendor’s.
Your team approves every agent write-back to a system of record.
Make your finance team the strategic business your company needs.
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