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AI ECONOMICS · ATTRIBUTION

AI Feature Attribution

How much of your ARR is actually driven by your AI features? Net of infra cost, with cohort gross margin.

Try a preset

$
AI-feature users
AI cohort ARPU uplift
$
AI cohort churn delta

Result

ARR ATTRIBUTABLE TO AI
$139,534.88
NET AFTER INFRA
$43,534.88
AI COHORT GROSS MARGIN
66.2%
NON-AI GROSS MARGIN
80.0%
RETENTION LIFT
2.0%

ARR Attribution Split

Gross AI-attributable ARR vs net (after infra cost).

AI-attributable ARR (gross)
$139,534.88
AI-attributable ARR (net)
$43,534.88
Annual AI infra cost
$96,000.00
Methodology → Formula, assumptions, sources, and known limits.

How to use it

  1. Open AI Feature Attribution and enter your current operating assumptions.
  2. Adjust one driver at a time to isolate impact clearly.
  3. Review decision-critical outputs before secondary charts.
  4. Run conservative, base, and upside scenarios to map risk.
  5. Use outcomes to pick the next operational or pricing action.
  6. Save or share this setup if you want to revisit it later, then check one downside and one upside case before you commit.
Questions people usually ask
What decision is AI Feature Attribution designed for?

AI Feature Attribution helps teams arr attributable to ai features, net of infra cost, with cohort gross margin and retention lift. before committing budget, pricing, or operating changes.

How can I get decision-grade output quality?

Use validated baseline numbers, run downside and upside scenarios, and align assumptions with your real cadence and constraints.

Is this legal, tax, or accounting advice?

No. Outputs are business planning estimates and should be reviewed with qualified professionals when required.

Is this free and private?

Yes. Tools run client-side in your browser with no signup.

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Business planning estimates — not legal, tax, or accounting advice.