AI economics
Agent Cost Per Validated Customer
What does each activated, retained user cost you in AI and infra spend? Run the per-validated-customer math.
Result
Monthly cost $5,200 = AI tokens $2,700 + infra $2,500. Revenue from 788 paying customers at the entered price: $15,760 a month.
Activation funnel
Every MAU costs tokens and infra; only validated customers carry the cost.
How to use it
- Enter your monthly active users, your activation rate, your 30-day retention rate, the tokens each user consumes per month, your model's input and output prices per million tokens, your infra cost per user, and optionally your price per user. The tool splits token usage evenly between input and output, so enter total monthly tokens; with current pricing such as Claude Sonnet 5.5 at $2 input and $10 output per million, or Haiku 4.5 at $1 and $5, the model you choose dominates the cost line.
- Read the cost per validated customer, total monthly cost (split into AI tokens and infra under the tiles), and the count of validated customers (active users times activation times retention). A validated customer is one who activated and stuck around for 30 days, so this metric divides your full variable cost by the users who actually matter, not the raw signups that token-burn alone would flatter.
- Use cost per validated customer rather than cost per signup, because the gap between them is where AI products quietly lose money. If only a third of users activate and half of those retain, your real acquisition cost can be six times the naive per-user figure, and a price that looked profitable against signups can be underwater against the customers who stay.
- Enter your price per customer and read the gross margin on paying customers: revenue from validated customers only, against AI and infra spend for every active user. When the margin is thin or negative, the highest-leverage fixes are usually a cheaper model tier for routine calls, prompt and token reduction, or improving activation and retention so the same AI spend is amortised across more validated customers.
- Re-run whenever model pricing changes (token prices have fallen sharply over the past year), when your activation or retention shifts, or when you consider a price change. Pair this with the model price drop stress test to see how falling token costs reshape these economics, and the AI product margin tool for the full per-user cost picture.
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- Run the numbers AI vs Human Support Cost
Compare AI-first and human-only support cost with token spend and escalation overhead.
- Run the numbers AI Feature Attribution
ARR attributable to AI features, net of infra cost, with cohort gross margin and retention lift.
Articles
- 8 min read Agent Cost Per Validated Customer: A Real Walkthrough
Work a 4,200-MAU AI agent through activation, 30-day retention, token spend, and price-per-user to find the true cost of one customer who sticks.
- 10 min read Agent Cost Per Customer vs AI Support Cost: 2026 Map
Agent cost per customer vs AI support cost on a 5k-MAU solo product: two engines, one decision. Should the tool capture or save support cost first?
- 9 min read AI vs Human Support at 3,200 Tickets a Month
Cost out human support against an AI agent at 68% resolution. Escalation overhead and bad LLM days flip the answer for low-margin SaaS — here's the math.
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Understand the costs, margins, and pricing of building AI-powered products.
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By situation
Use it from code
The same calculation as a JavaScript module you can import. It runs where you import it, with no request, key or rate limit.
import { compute } from "https://aibizhub.io/engines/agent-cost-per-validated-customer.js"; Input and output contract, TypeScript types and the guide for agents.