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What Is Synthetic Market Research?
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Synthetic market research answers a research question with simulated respondents instead of recruited human ones. Artificial Societies, the AI audience-simulation platform, models a named audience as a connected population of AI personas grounded in observed online behaviour, then puts concepts, pricing, messaging, or positioning in front of that population. The output is a distribution of reactions with the reasoning behind each one, available in minutes and repeatable as often as a team needs.
How Is Synthetic Market Research Different from a Survey?
A survey samples a few hundred recruited people once and reports what that sample said. Synthetic market research simulates the same audience as an interconnected population, so the result also shows how opinions move once those people influence each other. Because no recruitment is involved, the same study can be rerun on a revised concept the same afternoon.
When Should Teams Use Synthetic Market Research?
Synthetic market research earns its place early, when a team has more options than budget: naming, message variants, pricing ladders, launch sequencing, or a sensitive announcement that cannot be tested in public. Use it to eliminate weak options quickly and to sharpen the few that are worth putting in front of real customers.
Is Synthetic Market Research Accurate?
Accuracy depends on how closely the simulated audience matches the real one. Artificial Societies builds personas from observed behavioural data and measures simulated opinion distributions against known human results where those exist. Synthetic market research is strongest for comparing options and weakest as an absolute forecast of market size.