Every AI ad tool will tell you it "improved performance / saved you money." There is one question you cannot skip: compared to what?
The problem with a self-reported "+X%"
Without a baseline, you cannot separate the tool’s contribution from seasonality, a rising or falling market, and other changes you made in the same period. The number may look good, but it is not verifiable.
The fix: a randomized holdout
Randomly hold out a set of campaigns the AI never touches, as a control. Then compare the optimized group against the control — that difference is the causal effect of the optimization, not a market tailwind.
What an honest savings report looks like
- Net savings (not gross) — the real number after costs
- A confidence interval (how certain that number is)
- A methodology version (reproducible and traceable)
- The measurement window (how long the control ran)
This is also why we can offer an ROI money-back guarantee: we measure what we claim — if we cannot measure the savings, we refund the difference.
To see exactly how we measure it, read our savings-methodology doc; to get a report on your own account, start with a free audit.