Benchmarks

Learn across your portfolio, without exposing any client's data.

Cross-client learning is off

Enable de-identified pooling to compare patterns across your 3 analyzed clients and comparable industry accounts. Nothing is shared until you opt in, and only thresholded, de-identified derived features ever leave a workspace.

How pooling stays safe

De-identified only

Raw ads and outcomes never leave a client workspace. Only derived, standardized features are pooled.

Cohort minimums

A pattern is only shown when enough comparable accounts support it, never a single competitor.

Per-client personalization

Pooled priors are blended back into each advertiser's own evidence, not applied blindly.