Seeding the first verified B2B digital twin marketplace.
How Emporia Research recruited 1,125 senior B2B decision-makers to power Fairgen's launch of verified B2B digital twins.
How Emporia Research recruited 1,125 senior B2B decision-makers to power Fairgen's launch of verified B2B digital twins.
AI-generated synthetic respondents have advanced quickly in consumer research. B2B has been slower to follow. Its audiences are senior, specialized and niche; a twin built on them is only as reliable as the data behind it. Model one on thin or unverified data and it can produce misleading answers, which gets expensive when real business decisions ride on them. Fairgen, an AI research company building synthetic and AI-modeled audiences, set out to close that gap with Fairgen Twins, a platform that turns real respondents into digital twins available for instant, conversational research.
To launch credibly, Fairgen needed something synthetic data alone cannot provide: a foundation of real, verified, high-quality B2B decision-makers to clone. Emporia Research was engaged to build it, sourcing, screening, and fielding nine senior B2B audiences and delivering the verified dataset that would become the seed layer of Fairgen's Twin Marketplace.
Every part of the brief was demanding: scope, seniority, incidence, survey depth and deadline. The segments included niche, low-incidence audiences such as cybersecurity, DevOps and cloud and procurement leaders. And the whole program was anchored to an immovable date: Fairgen's product launch.
Emporia ran the engagement as a managed, end-to-end service, owning sourcing, screening, survey programming, fielding and data delivery across nine studies.
Starting with a 24-hour alignment pilot, the HR Leaders survey was programmed first and soft-launched within roughly a day, returning an early data read so questionnaire structure, length and formatting could be locked before scaling.
From there, all nine surveys were programmed and fielded concurrently within a one-week window. Each respondent completed a structured, in-depth survey capturing profile, preferences, product usage, pain point and expected industry shifts; the depth of signal a believable digital twin requires.
Emporia sourced 1,125 verified senior B2B decision-makers, from manager to C-suite, across nine audiences and delivered a clean dataset in under two weeks.
That dataset became the seed layer of Fairgen's Twin Marketplace and the first verified B2B digital twins anywhere. Every twin traces back to a real, screened decision maker. Fairgen surfaces Emporia's branding on every audience it sourced, making provenance visible so buyers know they can trust the data quality. As Emporia CEO Michael Hess put it, "For decades the job of researchers has been to find the right person and ask them the right question once. With verified twins, that single conversation becomes a reusable asset. The recruiter's role just expanded from sourcing answers to sourcing provenance."
“Emporia gave us exactly what we needed to make B2B digital twins credible: high-quality, verified senior decision-makers recruited across very hard-to-reach B2B audiences on an incredibly fast turnaround. That combination of speed, quality and provenance helped us launch Fairgen Twins with trust built in from day one.”
With the ability to reach professionals across more than 140 industries, Emporia assembled a sample that spanned the sectors that mattered most to Quickbase. Operations and technology leaders came from construction, manufacturing, software, energy and beyond, ensuring the insights reflected how these roles operate in different environments. Explore more industries and attributes of Emporia's expert audience
A rigorously sourced human intelligence layer is the necessary foundation for building AI twin modeling that transforms primary data from one-time-use into a reusable, queryable asset.
Fairgen is an AI research company building a suite of synthetic and AI-powered tools that help researchers get deeper, faster and more trusted insights. Its platform spans boosting niche respondents, detecting low-quality data and Fairgen Twins, a marketplace of digital twins built from real audience data that teams can survey or interview conversationally in minutes.
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