780,000+ verified American professionals across all 50 states. Credential-corroborated seniority and buying authority. Geographic targeting down to DMA level.
The US is the most lucrative per-complete market for B2B research, which makes it a primary target for organized fraud. Studies targeting C-suite executives, IT decision-makers, or procurement officers at large enterprises carry the highest fraud pressure of any segment we operate in — because the per-complete incentive justifies the investment in sophisticated evasion techniques.
Our US B2B panel applies the same multi-stage quality framework used across all markets, with additional verification depth for high-value professional segments. Seniority attributes are corroborated through firmographic databases before quota assignment. You're not filtering on self-reported titles.
Each segment uses attribute-specific verification. What gets corroborated depends on what you're targeting and what the study requires.
C-suite, SVPs, VPs, and director-level at major US corporations. Seniority corroborated through company registration data and firmographic cross-reference. Budget authority verified for procurement studies.
Senior leaders and department heads at mid-market US companies. This segment has the highest incidence of self-reported title inflation — our corroboration layer specifically targets this problem.
Business owners, managing partners, and principals at small and medium US businesses. Decision-making authority verified through business registration data where available.
HR directors, marketing leaders, operations managers, supply chain professionals, and legal/compliance officers. Verified by functional attribute corroboration, not just job title search.
Send us your target professional profile and screener criteria. We'll give you a realistic US feasibility estimate — sample count, incidence rate, and field timeline — within one business day.
Whether you're running a US-only study or need the US as part of a global comparison, we use the same validation framework across markets — so your cross-market data is actually comparable.