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Pricing AI Products Around Customer Value
Price around a benefit customers can understand and costs you can observe. Test willingness to pay with real buyers before treating a proposed package as validated.
By Jake Bauman · Revised
Jake Bauman's pricing worksheet, not a survey of market prices or a guarantee of margin.
Define the paid unit
A seat, usage allowance, workflow, or managed outcome each puts different risk on the buyer and seller. Describe what the customer receives, what is excluded, and what happens when usage grows.
Check the unit economics
- Estimate model, tool, review, support, and infrastructure costs per customer.
- Stress-test a high-usage customer and a low-usage customer.
- Interview buyers about the current alternative and budget.
- Reconcile the checkout promise with terms and actual delivery.
A limit on value pricing
A useful outcome may be difficult to attribute to one tool. Use observed customer work and willingness to pay rather than a made-up return multiplier.
An honest offer test
Show a buyer the exact task the product performs, the work required from them, the support included, and the proposed price. Ask what they would use instead and where the offer feels risky. Track what they actually do after the conversation; stated enthusiasm is weaker evidence than a completed trial or purchase. Revise the package before changing the price in isolation.
Sources and context
These sources inform the framework. They do not validate the suggested actions for every business.
- Brian Balfour, Four Fits for $100M+ Growth: Original source of the Four Fits framework.
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