| Metric Type | Traditional Analytics | ROI Ledger |
|---|---|---|
| What it measures | Correlation (opens, clicks) | Causation (revenue attributed) |
| Control group | None | Holdout group (10-20%) |
| Attribution | Last touch / First touch | Multi-touch with UUID tracking |
| Proof level | "Looks like it worked" | "AI generated $X revenue" |
A ledger system that tracks every AI action with a UUID and attributes actual revenue contribution using holdout testing.
Executive buy-in requires proof. "The AI sent more emails" isn't enough. ROI Ledger provides weekly reports showing exactly how much revenue AI actions generated vs. control group.
Self-Improving ROI Ledger tracks all actions and produces weekly attribution reports.
Self-Improving ROI LedgerThe incremental revenue increase attributed to AI actions, measured against a holdout control group that received no AI intervention.
A testing methodology where a percentage of accounts receive no AI actions (control group) to measure the true incremental revenue impact of automation.
Statistical methods that establish causation (not just correlation) between marketing/sales actions and revenue outcomes using experimental design.
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