How often provider data matches validated company records.
Stride
Clay (Argon)
GPT 5.4
ZoomInfo
Clay (Premium Data Providers)
Insights
We see stronger performance in the Footprint-Account-Impact benchmark than in the Accuracy benchmark because the two measures answer different questions. Accuracy measures the raw distance between a provider's value and the reference value. Account Impact measures whether that difference would actually change how a GTM team segments, prioritises, or treats the account.
This distinction matters because not every numerical error is commercially meaningful. For example, if a company has 4,000 employees and a provider reports 1,500, that would represent a large raw error and would likely fail an accuracy test. But if both values still place the company into the same enterprise treatment band, the account-level decision may remain unchanged. In that case, the provider is wrong in absolute terms but not necessarily wrong in a way that changes the GTM motion. This is why Account Impact is more forgiving, but also why it is often the more practical benchmark for evaluating whether data is decision-grade.