An evaluation of digital twins based on YouGov panel dataDownload the report

What our competitors do

Other emerging digital twin providers are approaching the market through bespoke, project-based research. They recruit participants (often as few as 50–100) from unverified third-party panels, conduct interviews, build custom digital twins and use these to answer questions related to a particular customer or research brief. While this can be valuable, it's fundamentally a project-led model, where recruitment, data collection and twin creation are repeated for each new audience or use case.

What YouGov does

YouGov is building something fundamentally different: a large, syndicated and always-on network of digital twins, grounded in a rich, holistic understanding of real people. Unlike competitors that depend on third-party recruitment, YouGov has its own established panel, decades of research data and ongoing relationships with millions of individuals.

Why our approach is differentWhy our approach is different

The people behind our twins have already trusted us with enormous amounts of information: their demographics, lifestyles, attitudes, preferences, behaviours, brand perceptions and much more. Rather than building a narrow understanding of someone through interviews conducted for a specific brief, we're building on thousands of existing data points that together provide a much more holistic picture of who that person is, what matters to them and how they think.

YouGov’s bespoke approach

Crucially, that understanding isn't static. It can be rapidly updated, enriched and validated against the same real people. If a customer wants to explore a new topic or needs deeper insight into a particular audience, we can conduct targeted surveys or AI-moderated interviews with the individuals behind their twins, enriching their existing profiles rather than starting again.

Because we maintain those relationships, we can return to the same people to compare simulated answers with real human responses, measure fidelity and continually improve accuracy. This creates a powerful combination: the breadth and immediacy of syndicated data, the depth and flexibility of bespoke research, and the ability to validate against real people. Customers can instantly query an existing audience, rapidly deepen their understanding where needed, and test whether the twins faithfully reflect the people they represent.

Our simulations are scalable

Our approach also creates fundamentally different economics and scalability. Rather than repeatedly incurring the full costs of recruiting, creating, interviewing and updating twins, YouGov can leverage an existing panel asset whereby every new piece of research can make the underlying network richer, more accurate and more valuable over time.

An evaluation of digital twins based on YouGov panel dataDownload the report

10 key differences between simulations from YouGov and other providers

  1. Many simulators don't own their own panels. YouGov has an established relationship with millions of real people. Bespoke digital twin providers rely on third-party panels to recruit participants for individual projects. We have our own established panel, extensive historical research data and the infrastructure to continuously engage the same individuals. This gives us direct access to the people behind our twins, not just the data collected about them during a particular project.
  2. Others build twins as a project. We build a network of twins for every project. Our competitors’ approach is to create custom digital twins for a particular customer or research brief. Our simulated data product – YouGov Parallax – provides access to a large, syndicated, always-on network of twins that can be queried across different audiences, topics and use cases, without needing to create a new audience each time.
  3. Our competitors start with scratch interviews. We start with a holistic understanding of who people are. We already know thousands of things about many of the individuals behind our twins, including their demographics, attitudes, lifestyles, preferences, behaviours and brand perceptions. This provides a rich, multidimensional understanding of each person that is almost impossible to recreate through a handful of project-specific interviews.

  4. Others recruit audiences on demand. We make pre-recruited audiences instantly available on demand. Our competitors’ bespoke approaches require recruitment, data collection and twin creation before research can begin. With YouGov Parallax, customers can identify, segment and query existing audiences immediately. The difference is between commissioning the creation of an audience and having one ready whenever it's needed.

  5. Our competitors build bespoke twins from scratch. We rapidly enrich twins we already understand. When customers need deeper insight into a particular topic, we can return to the real people behind their twins and conduct targeted surveys or AI-moderated interviews. The new information enriches their existing profiles, building on everything we already know about them rather than replacing or recreating that understanding.

  6. Others need to recruit people to validate their twins. We can go straight back to the same real people. Because YouGov maintains an ongoing relationship with the individuals behind its twins, we can rapidly recontact them to test whether their twins accurately reflect what they actually think, feel or believe. By asking real people the same questions we've asked their twins, we can measure how faithfully the simulated answers reflect actual human responses, giving customers greater confidence in the results.
  7. Our competitors collect data for individual projects. We have an engine for continuously generating human data. YouGov's established panel and research infrastructure support ongoing data collection across a wide range of topics. That information can continuously update and enrich individual twins, helping them reflect changes in people's attitudes, experiences and preferences over time.
  8. Others’ projects create individual assets. Our intelligence compounds in value. Every survey, interview and research interaction can contribute to the depth and accuracy of an individual's twin. That growing understanding can be reused across future projects and customers. The more research YouGov conducts, the more valuable the underlying network becomes.

  9. AI agents can't wait for research projects. They need human intelligence instantly. Autonomous AI agents need immediate access to human perspectives as part of their decision-making workflows. YouGov Parallax's always-on network – accessible through APIs and MCP – enables agents to query human perspectives programmatically, with the potential to trigger additional enrichment or human validation when deeper understanding or greater confidence is required.

  10. Others build a research methodology. We're building human intelligence infrastructure. Bespoke digital twins are a useful research technique, but YouGov's opportunity is much larger: combining its proprietary panel, extensive research data, continuous access to real people and OriginalVoices' digital twin technology to create a persistent, scalable and continuously improving human intelligence infrastructure for the AI economy.

YouGov is different – and better

Others are using digital twins to make individual research projects faster. YouGov is building something fundamentally different: an always-on human intelligence network, grounded in a holistic understanding of real people.

They have to find the people on others’ panels, interview them and build the twins. We already have the people; we already know thousands of things about them – our twins are daily updated and always ready to be queried.

Our holistic understanding is continuously being enriched with new studies by the same real individuals. And we can go even deeper whenever needed, testing predictions against actual human responses and continually improving the underlying network.

The difference isn't just having digital twins available on demand. It's having a rich, continuously updated and verifiable understanding of real people, available whenever businesses and AI agents need it.

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