Business
Test products and campaigns before launch.
Concept, message, and pricing tests against the cohorts that buy from you. Crosstabs for the board meeting, methodology for the appendix.
Platform
Pressure-test the decision before you make it.
A synthetic audience grounded in real response data, not improvised from a prompt. Every study ships with the cohort, the sample, and the confidence intervals. One simulator, across business, political, and government.
What it is
A research platform, not a chatbot.
A synthetic audience is a defined population of grounded personas. Replism builds it, samples it, and queries it at study scale. You get the same artifacts you would from a panel: cohort definition, sample, crosstabs, confidence intervals. The difference is the clock.
Personas
Built from data, not from a prompt.
A persona is the individual unit inside a synthetic audience. Ours are loaded from real attitudinal and behavioral data. Each one carries only the attributes the cohort actually needs.
Built from response data.
Loaded from real surveys. Not invented by a model.
No prompt scaffolding.
No "you are a 34-year-old suburban mom." Attributes are loaded, not narrated.
Inherits the cohort frame.
Same screening logic a panel provider would apply. Applied before the question, not after.
Cohorts
Specified, not implied.
A cohort is the group of personas a study is about. You decide who’s in and who’s out. We draft each one with you, to the depth the decision needs.
1M+ grounded personas.
The pool every cohort samples against. Built from real attitudinal and behavioral data.
Defined per study.
Frame and screeners are drafted with you. In the same language a research firm writes a screener.
Crosstabs by default.
Distributions across every segment, with confidence intervals attached. No follow-up cut request, no second invoice.
Studies
Studies, run in hours.
A study is one research run. Cohort, sample, question, result. The flow is the one a research firm would follow, on a working-session clock. Every study ships with the cohort definition, sample size, distribution, confidence intervals, and the current eval reference. Hand the output to a board or a war room without translating it first.
STEP 01
Define cohort
Frame and screeners. Drafted for the study.
STEP 02
Sample
Drawn against the cohort frame. Recorded for reproducibility.
STEP 03
Run study
Every persona answers. Pricing ladders, message tests, conjoint, likely-voter screens, debate framings.
STEP 04
Crosstabs
Distributions across every segment, with confidence intervals. Methodology artifacts ship with the result.
Where it applies
One simulator. Multiple audiences.
Political
Forecast elections. Test the strategy.
Likely-voter cohorts segmented by geography and party lean. Test debate lines, ad creative, and surrogates. No leak risk, no polling lag.
Government
Evaluate policy before rollout.
Simulate constituent reaction across geography and ideology. Find where a policy lands, where it falters, and which framing moves the most.
What changes
Replism vs the alternatives.
Panels are rigorous and slow. Prompted personas are fast and indefensible. The trade-off doesn’t have to hold.
DimensionTraditional panelor prompted personasReplism
Cohort definitionPanels: written by a firm, billed by the screener. Prompted personas: implied, never specified.Frame and screeners. Written up front, shipped with the study.
Persona groundingPanels: real humans with fatigue, satisficing, and screener bias. Prompted personas: invented from a description.Loaded from real attitudinal and behavioral data. No prompt scaffolding.
Eval cadencePanels: vendor benchmarks held privately. Prompted personas: no eval discipline at all.Continuous benchmarking against human panels. Public eval reports each quarter.
Methodology artifactsPanels: available on request, often after the fact. Prompted personas: none.Cohort, sample, distributions, confidence intervals, eval reference. All ship with the study.
Scenario throughputPanels: one or two variants per field, multi-week cycle. Prompted personas: high volume, low trust.Dozens of variants in one working session. No re-field, no re-pay, no re-wait.
FAQ
Questions buyers ask.
Put the platform in front of a real decision.
Bring a decision your team is working on. A research engineer will draft the cohort, the sample, and the study with you, in one working session. The methodology comes out with the result.