Cohort Benchmarks
Place your metric within the anonymized cross-tenant cohort, privacy-safely, suppressed entirely below five peers.
Overview
Cohort Benchmarks answers "how do I compare?" without ever exposing another customer. Give one of your metrics and the anonymized, opt-in cohort of peer values, and it places you: your percentile, your quartile band, and the cohort's own quartile shape. It reuses the same privacy floor as the platform's benchmark engine, so the guarantee is consistent everywhere.
Privacy-safe by construction
The comparison is suppressed entirely when the cohort has fewer than five peers, and a suppressed result carries no distribution data at all, not even the quartiles, so a small group can never be reverse-engineered into an individual. Above the floor, only the aggregate distribution is ever shown, the quartiles and your own placement, never any peer's value. Peers are opt-in, and no cross-tenant identity is ever read.
What you get
Above the floor, the panel reports your percentile (the share of peers at or below your value), your band (bottom-quartile, below-median, above-median, or top-quartile), how far above or below the cohort median you sit, and the cohort's p25 / p50 / p75. It is enough to know where you stand and how much headroom there is, and nothing more.
Deterministic
The comparison is deterministic: the same value against the same cohort always produces the same placement, so the number is stable and defensible. It reuses the platform benchmark engine's percentile math and its minimum-cohort-size rule, so the privacy contract is identical to the one the rest of the product honors.