Percentiles, not vanity numbers.
The same ROAS is a triumph in one category and a warning in another. We place every core metric on a percentile curve for your industry, so a number becomes a verdict.
Illustrative placement shown for demonstration.
A fixed yardstick, so the comparison is fair.
Benchmarks only mean something when everyone is measured the same way. Our definitions are held steady by a deterministic model, so your percentile is a fair read rather than an apples-to-oranges guess.
Consistent definitions
CAC, CPL, ROAS and conversion rate are defined the same way for every account.
Category-aware
Your numbers sit against the distribution for your industry, not a flattering global average.
Repeatable
Re-run the placement and your percentile holds, so progress is measurable.
We publish the shape of the method and the full breadth of what it measures. The exact model, the per-dimension weights and the prompts stay proprietary, the way any serious measurement system protects its core.
Compared with peers, measured the same way.
Benchmarks are only useful when everyone is measured on the same definitions. Our deterministic model holds the definitions steady, so your percentile is a fair read, not an apples-to-oranges comparison.
Core efficiency metrics
CAC, CPL, ROAS and conversion rate, each placed against the distribution for your category.
Category-aware
Benchmarks reflect your industry and model, not a generic global average that flatters or misleads.
A clear ceiling
See the gap to the top decile, so the goal is a real number, not a feeling.
Questions teams ask.
What metrics do you benchmark?
Where does the benchmark data come from?
Is a 4x ROAS good?
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