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Unit economics

Digital SaaS · ICP 1 — AI-embedded SaaS — per-feature & per-customer margin

May 2026 · month-to-dateSynthetic data
Attribution coverage is 73.7% — some cost has no customer_id. The unattributed residual is shown, never dropped. Review coverage →
Cost per unit
COGS ÷ metered units
Revenue per unit
Recognized ÷ metered units
Margin per unit
Revenue − cost, per unit

Margin by customer

51 customers

One point per customer: x = revenue, y = cost. Points in red sit below break-even (negative margin) — the customers being served at a loss.

Losing money on 12 customers
  1. 1Unattributed
  2. 2Yellowstone Outdoors
  3. 3Atlas Logistics 2
  4. 4Beacon Analytics
  5. 5Cobalt Finance

Margin per unit · last 6 months

Tokens breakdown
in 8.3B · out 4.1B · cached 1.7B

Usage input for the per-unit cost denominator (input / output / cached split).

The cost↔revenue join (stamped customer_id / feature_id) is what turns infra-keyed cost into customer-keyed margin. Every figure is governed by @radicas/core — click any number for its two-layer provenance; the same metric keys back the MCP surface.