Synthetic consumer research.
Pre-test pricing, creative, brand, and survey decisions against a simulated population that behaves like your buyers — and get the verdict, with the reasoning underneath, before you commit the budget.
Run a decision →What synthetic consumer research is.
Synthetic consumer research pre-tests a business decision against a persona pool — a simulated population that behaves like your real buyers — before that market ever sees the decision. You submit a price, a claim, a piece of creative, a name, or a survey, and get a verdict with the behavioural reasoning underneath it, in minutes rather than the weeks a survey or focus group takes.
The personas are deep behavioural simulations of real people, grounded in real buyer signal — not real individuals, and not a generic chatbot. Every conclusion is traceable to its population, evidence, and reasoning.
Pool → decision → verdict.
Simulatte builds the population in one of four grounding modes — from the open web, your own CRM, real voice interviews, or a defined ICP — then runs your decision against it and returns the drivers, the objections, and the segment that disagrees. The closer the input sits to a real, specific human, the more faithfully the population behaves like one. See the full method on the How it works page.
Four families of decision.
- Creative — packaging, labels, ads, listings, claims, headlines, and names before a campaign ships.
- Brand & Risk — brand names, claims, positioning, and reputational exposure.
- Commercial & Investment — pricing, tiers, features, willingness-to-pay, go/no-go.
- Custom Survey — any question, open or anchored to a product, with segment splits and verbatims.
Two questions, answered separately.
Conflating them is how research gets oversold. Simulatte publishes two reproducible bodies of evidence: whether the population’s distribution matches reality (benchmarked against national surveys), and whether its behaviour predicts real outcomes (blind sealed-outcome replay). Every number is recomputable from raw data — see Research and the fidelity benchmark.
Where it stops: synthetic research is a screen before you commit budget, not a substitute for the in-market test. It tells you which direction wins and why — not a guaranteed sales number.
Common questions
What is synthetic consumer research?
Pre-testing a business decision against a simulated population that behaves like your real market, before that market ever sees the decision. You get a verdict, the behavioural drivers underneath it, and the segment that disagrees — in minutes, not weeks.
How is it different from traditional market research?
Traditional research recruits real people and takes weeks (surveys, panels) or a room (focus groups). Synthetic research runs the decision against a simulated buyer population and returns a reasoned verdict in minutes, so you can test decisions that never fit the budget or the calendar — then confirm the big ones in market.
Are synthetic personas real people?
No. They are deep behavioural simulations of real people, grounded in real buyer signal — not real individuals and not a generic chatbot. Where fidelity matters most, the population can be grounded in real voice interviews.
Is synthetic research accurate enough to trust?
Simulatte reports accuracy as two separate, reproducible measures: distribution accuracy against national surveys, and blind sealed-outcome behavioural replay. Every figure is recomputable from raw data, and it is positioned as a screen before commitment, not a replacement for the in-market test.
Run it against your own decision.
Bring a price, a claim, or a piece of creative. You'll have a verdict — with the reasoning underneath — in about a minute.