Feature unit economics
AI Feature Profitability Calculator
Decide whether an AI feature should be bundled, metered, sold as an add-on, or redesigned.
Your scenario
Adjust the assumptions. Results update instantly.
Customers who can discover or purchase the feature.
Share of eligible customers expected to use the feature.
Monthly add-on revenue, or zero when bundled.
Estimated monthly revenue benefit per adopting customer.
Monthly feature usage for one adopting customer.
Average prompt and context size.
Average generated response size.
Percentage of feature calls reviewed or escalated.
Loaded cost of one review or intervention.
Storage, search, voice, support, or vendor cost each month.
Minimum gross margin for the feature itself.
Methodology
How this calculator works
Calculate monthly AI, review, and third-party cost per adopting customer.
Combine direct add-on revenue with estimated retention or expansion value.
Measure feature contribution margin and recommend the minimum profitable price.
What makes this useful
It combines AI calls, human review, third-party tools, adoption, and incremental revenue in one feature P&L.
Frequently asked questions
Should an AI feature be bundled or sold separately?
Bundle it when the retention or conversion benefit covers usage cost across the whole plan. Meter or sell it separately when adoption and cost are concentrated.
How should human review be included?
Multiply the number of feature calls by the review rate and loaded cost per review. Even a small escalation rate can exceed model spend.
What is incremental feature value?
It is the estimated monthly revenue effect from better conversion, retention, expansion, or willingness to pay, allocated per adopting customer.
Continue your analysis
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Open toolAI Feature Profitability Calculator uses current model prices and your operating assumptions to estimate business impact. Treat the output as a planning model, then replace defaults with p50, p95, and p99 telemetry from your own product.
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