You are about to raise prices 20%.Which customers would that make unprofitable?
Model any pricing structure against real cost and usage data. See projected margin impact per customer before you deploy changes. Value strategy powered by data, not napkin math.
How pricing modeling works
Three steps from hypothesis to projected impact
Define the model
Configure base fees, usage rates, tiers, or hybrid pricing. Set the parameters for the scenario you want to test.
Apply to real data
Run the proposed model against your actual usage and cost data. No sample data needed -- use your real customer base.
Review the impact
Compare projected revenue and margins against your current pricing. Per-customer impact is clear before making changes.
Pricing models you can simulate
Test any pricing structure against your real usage data
Flat Rate
Fixed monthly fee per customer or per tier. See which customers would become profitable and which would remain underwater.
Tiered / Graduated
Volume-based tiers with graduated pricing. Model how different tier boundaries affect margin distribution across your customer base.
Volume
Total usage determines a single per-unit price for all units. Model how volume discount breakpoints affect margin at different customer sizes.
Hybrid (Base + Usage)
Base fee plus usage-based component. Find the base fee that covers fixed costs while usage pricing aligns with variable costs.
Compare before and after
See the projected impact on every customer before you change anything
Test your pricing hypotheses against real data
Model any pricing structure. See projected margin impact by customer. Decide with confidence.