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Digital Twins grounded in real behavior
See what any audience really thinks in hours, not weeks
More than a synthetic panel, StatSocial Digital Twins are grounded in the real behaviors, interests, and demographics of 150M+ U.S. adults.
No recruiting · No scheduling · 3.3 pts MAE vs. published benchmarks
Dive Deeper
Run an AI focus group with your Digital Twins
Digital Twins tell you what your audience thinks. Focus Groups tell you the why.
Live qualitative sessions
Moderate a real-time conversation with your exact audience. Ask, probe, and redirect the discussion as it unfolds.
Weighted cohort responses
Hear from a room that reflects the true composition of your audience, not whoever a recruiter could find.
One-on-one interviews
Pull any twin aside for a deeper individual conversation when a single perspective deserves more time.
Quote-level attribution & exports
Trace every quote back to the twin behind it, with full session exports ready for reports and stakeholder readouts.
What StatSocial Powers
How your teams can leverage Digital Twins
Every use case runs on the same engine. Survey at scale with Digital Twins, then open a Focus Group when a result requires a conversation.
Audience validation & persona research
Confirm who your audience is before investing in campaigns.
Creative & messaging testing
Test concepts, ads, and messaging against your exact audience.
Media planning & influencer selection
Find the channels and influencers that resonate with a specific cohort.
Sentiment tracking & campaign optimization
Run lightweight pulse checks between major studies to monitor shifts in brand perception.
PR & crisis message testing
Pressure-test communications before they go public.
Product concepts & market fit
Gauge demand for new products and prioritize features before committing resources.
Customer story
How Shepherd uses Digital Twins
Shepherd wanted to know whether a niche audience would pay for a new product, the kind of audience that barely exists in standard panels. So they put the question to their Twins.
One subscriber base. Three segments. Three different answers.
Segment 01
Core subscribers
Hesitant to payLiked the concept, but cooled off once the conversation turned to price.
Segment 02
Casual users
On the fenceLiked the idea more than expected, just not enough to pay for it yet.
Segment 03
Prospects
Ready to buyThe most willing to pay, especially when the product felt creator-driven.
“
There isn’t a big delta between how they’re responding as a Twin and how we’re seeing them show up in real life.
Dean McBeth, Managing Partner and Co-Founder, Shepherd
Industry recognized. Client recommended.
Frequently asked questions
Everything teams usually ask before they get started.
A Digital Twin is a survey respondent built on a real, anonymized person. Every Twin carries hundreds of observed behavioral signals from StatSocial’s patented PeopleGraph and KnowledgeGraph, spanning more than 150M U.S. adults: media consumption, influencer affinities, interests, demographics, professional signals, and household data.
No, and the distinction is the point. A synthetic panel generates respondents from statistical assumptions about a population. Digital Twins are modeled on the observed behavior of real, anonymized people in StatSocial’s PeopleGraph.
Synthetic personas are generated from generic model training data and demographic proxies, so there is no real person underneath them. StatSocial Digital Twins start with anonymized profiles of real U.S. adults and thousands of observed behavioral attributes, which is why they hold up against public benchmarks. The practical difference between synthetic personas and Digital Twins shows up in niche audiences. Synthetic personas tend to average toward the general population, while behaviorally grounded twins can represent fan, creator, investor, and professional audiences accurately.
Digital Twins have been validated at 3.3 points MAE across 40+ studies benchmarked against U.S. Census, Pew, Gallup, and Nielsen — close to half the error rate typical of opt-in panels. That kind of benchmarking is only possible because Twins are grounded in observed behavior. Synthetic respondents generated purely from model assumptions have no observed ground truth to validate against.
Focus Groups are live, moderated qualitative sessions run with Digital Twins in place of recruited participants. Ask, probe, and redirect as the conversation unfolds. Hear weighted cohort responses that reflect the true composition of your audience, pull any Twin aside for a one-on-one, and export the full transcript with every quote attributed back to the Twin behind it.
Any audience you can describe, including the ones traditional panels struggle to recruit: fan communities, creator followings, niche B2B roles, and low-incidence consumer segments. Because Twins are drawn from more than 150M+ identity-resolved U.S. adults, a hard-to-find audience becomes a matter of definition rather than a feasibility problem.
Hours, not weeks. Survey results return within hours of defining the audience, and a Focus Group session can run the same day. Removing recruiting, screening, and the fielding window is what collapses a typical multi-week research cycle into a single working session.
Pricing is scoped to the study, audience size and other parameters. To learn more about our pricing, we encourage you to schedule a demo.