Agentic Simulation — grounded in real data
Digital twins built from verified purchase data. Simulate real consumer behavior before committing budget.
Why Agentic Simulation
A fundamentally different approach to consumer research
Traditional research tells you what people say. Synthetic research tells you what AI thinks. Ario's agentic simulation tells you what people actually did.
| Traditional Research | Synthetic Research | Ario Agentic Simulation | |
|---|---|---|---|
| Method | Survey panels & focus groups | AI agents with demographic profiles | Digital twins from real transaction data |
| Timeline | Weeks to months | Hours to days | Hours |
| Data Type | Stated preference | Simulated cognition | Revealed preference — actual behavior |
| Best For | Exploratory & attitudinal | Brand perception & concept testing | Pricing, switching, loyalty, commercial prediction |
| Limitations | Sample size, recall bias, social desirability | No real behavioral data | Requires consent-based purchase data (built into Ario) |
Research
How well can a digital twin answer a survey?
Digital twins built from real Amazon purchase data were tested against a 60-question product concept survey. Here's what worked, what didn't, and what it means for market research.
Read the study →See Ario in Action
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