PRODUCT COMPARISON
Compare synthetic research tools
Compare product uses, methods, validation evidence, data sources, access and pricing. Start with Aaru and Simile, or choose two or three other products.
Product records: 6 September 2026. Method and evidence sources linked below.
| Compare products | AaruBehavior simulation | Electric TwinSynthetic audiences |
|---|---|---|
| Product category | Audience simulation | Audience simulation |
| Product | Behavior simulation | Synthetic audiences |
| Overview | Population simulations for product, pricing, messaging and strategic decisions. | An audience workspace for asking new questions of models built around customer research. |
| Data grounding | Aaru describes populations grounded in demographic, behavioral and outcomes data. | Electric Twin describes using surveys, focus groups and customer interviews to construct audiences. |
| Access | Contact sales | Contact sales |
| Pricing | Discuss scope with provider | Discuss scope with provider |
| Research method | The documented workflow applies trained relationships to a new price, message, product or policy rather than extending historical frequencies directly. Aaru describes estimating how responses change across a population under stated conditions. It distinguishes this from predicting a named person's next action. | Electric Twin documents asking questions of a modeled audience about motivations, trade-offs and potential changes of mind, then drilling into the responses with follow-up questions. The provider lists concept and proposition testing, messaging and creative testing, pricing exploration, strategic decision support and audience deep-dives as common uses. |
| Validation evidence | Global Wealth Study recreation: Aaru reports that EY asked it to recreate the 2025 Global Wealth Study in a blinded exercise covering 3,600 affluent investors in more than 30 markets. Aaru reports a median Spearman correlation of 0.90 for that exercise. This is a result reported on Aaru's own site. It is a scoped comparison, not evidence that performance transfers unchanged to every audience, market or intervention. | Reported hold-out performance: Electric Twin reports 95.5% on 1-MAE and 92% on its NDAM measure in its published methodology. Its site attributes independent validation to Professor Michael Muthukrishna at LSE and describes more than 50,000 evaluations. These figures and the claimed external validation are reported by the supplier. The described evaluation compares response distributions in a held-out test; it is not, on its own, evidence for every target audience or decision context. |
| Documented scope | Aaru states that individual behavior includes chance and circumstances a profile does not observe. Its stated output is a distribution of possible behavior under defined conditions. Aaru says results from broad evaluations may not extend to a particular market, audience or intervention. Its documentation treats evidence gaps as part of the report rather than a general accuracy claim. | Electric Twin notes that 1-MAE can become more forgiving as answer options increase, which is why it also reports a normalized distribution measure. The two metrics should not be treated as interchangeable. The supplier says the first step is assessing the data available for a particular audience and communicating where that resulting model is reliable and where its limits are. |
| Method and evidence sources | ||
| Primary source | Provider documentation | Provider documentation |
Product comparisons
- Aaru vs Simile
Both describe population simulations. Aaru frames scenarios around a decision and stated conditions; Simile documents a question-level confidence model alongside its simulated action distributions.
- Fairgen Boost vs Toluna HarmonAIze Boost
Both work with a survey that has already been collected. Fairgen describes augmenting survey segments while preserving questionnaire structure; Toluna defines Boost as amplifying patterns after fieldwork.
- Qualtrics Synthetic Panels vs Synthetic Users
Qualtrics generates synthetic responses within its survey distribution workflow. Synthetic Users organizes audience-defined personas, projects and studies, with interviews, surveys and developer API access.
- Fairgen Twins vs Ipsos PersonaBot
Fairgen Twins supports structured studies and follow-up conversations with modeled respondents. Ipsos PersonaBot offers conversational access to personas from an existing segmentation study.