Emporia Research

Emporia's argument is straightforward: the humans behind your data determine its quality, so the sourcing layer is worth more than the survey tooling bolted on top. The audience graph is the foundation — 800M+ employee records with 200+ targetable attributes, covering 140+ industries. That breadth matters less than the specificity it enables: recruiting 50 CIOs or 300 IT decision-makers for a conjoint study is the workflow this thing is built around, and it's the workflow consumer panels handle worst. Deep Signal Targeting adds 3,000+ signals to locate the audience before screening even starts, which cuts down on the disqualified-respondent churn that eats sample budgets. Fraud is where Emporia differentiates hardest. Pori runs real-time LinkedIn validation, synthetic identity detection, work email domain analysis, and response pattern monitoring. The vendor has even published a buyer's guide comparing Pori against Research Defender, Verisoul, Dtect, RelevantID, and CleanID — a useful starting point if you're evaluating anti-fraud tooling as a category. Independent validation arrived in September 2026, when GroupSolver fielded one study across three providers with identical fraud detection and Emporia posted the lowest quality termination rate, 2.4x better than the worst performer. The service model splits two ways. mrxCore is the self-service platform if your team wants to build and field studies directly. If not, the managed project delivery team runs recruitment and collection end to end — which is what most consulting and PE firms doing commercial due diligence will want. Both paths share the sourcing engine, so same-day delivery is available either way. Limitations worth weighing. The platform is web-only for participants, which is a real constraint if your audience is mobile-first. Pricing is quoted per project, so you won't know your number until you talk to the team — that's a friction point for procurement-driven organizations that need a published rate card before they can even evaluate. Some capabilities, like synthetic data generation or dedicated project management, sit in managed services rather than self-serve. Documented integrations are thin: Displayr and SurveyMonkey appear in the vendor's materials, so if you're standardized on Qualtrics or another platform, confirm compatibility before committing. Where it fits: research teams at B2B enterprises, healthcare research groups, agencies that want managed recruitment without panel fraud risk, and private equity or consulting firms running market entry and due diligence studies. Where it doesn't: consumer studies needing general population samples, teams whose primary metric is lowest cost per complete, and anyone who wants raw unverified respondents without a validation layer.