Samplio

Synthetic Audience Research

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EU-27 + Türkiye & Georgia · simulated in the audience's own language · population-weighted composites · commercial research only

See how Europe reacts
before you spend the media budget.

Samplio simulates how consumer segments react to your copy, using LLM personas grounded in real Eurostat market structure — region × income × value orientation. Built for brands and agencies. Commercial research only.

Free during the pilot · No card · Commercial use only

samplio.talivio.com/simulations/…

Message test result

“Neue Hafermilch: gleicher Geschmack, 30% weniger Verpackung.”

de-consumer · 10.000 agents · [email protected]/de

gemini placeholder
DE21 · Q3 · progressive · 25% appeal
“Endlich eine Hafermilch, die nicht nur gut schmeckt, sondern auch aktiv zur Müllreduzierung beiträgt – das ist ein wichtiger Schritt in die richtige Richtung.”
DEF0 · Q2 · pragmatic · 25% appeal
“Der gleiche Geschmack ist entscheidend, und weniger Verpackung ist ein willkommener, praktischer Vorteil.”
DE30 · Q2 · traditional · 25% appeal
“Es ist gut zu hören, dass die neue Hafermilch trotz weniger Verpackung den gleichen vertrauten Geschmack behalten soll.”
DE71 · Q4 · price_conscious · 25% indifference
“Für uns als preisbewusste Konsumenten ist aber entscheidend, ob sich dies auch im Preis niederschlägt oder zumindest das Preis-Leistungs-Verhältnis verbessert.”
appeal trust skepticism indifference concern

SYNTHETIC SIMULATION — A real run on this engine (gemini-2.5-flash, German audience simulated in German), reproduced verbatim. It is a model-based estimate on a synthetic population, not a survey of real respondents. The PLACEHOLDER stamp is the engine's own: the value-orientation axis is not yet calibrated, so treat splits on that axis as directional.

EU AI Act readiness· GDPR· Talivio Technology OÜ · Tallinn· Per-call audit trail· No real-person data processed

Why Samplio

Grounded in real market structure

Live Eurostat data

NUTS-2 regional population shares and EU-SILC income quintiles, with data provenance recorded per axis.

Statistical population synthesis

Dirichlet + IPF + K-Means build the synthetic population; segments emerge from clustering, not from hand-picked stereotypes.

Full audit trail

Every LLM call leaves an audit record (model, prompt hash, duration) — traceability designed for the EU AI Act.

How it works

Your first test takes about a minute

No panel recruitment, no fieldwork, no waiting for a field institute.

1

Pick an audience

A country pack simulated in its own language, a macro region, or the EU-27 average.

Audience scope

de-consumer country pack
eu-west-consumer macro region
eu-consumer EU average
2

Paste your copy

One message, 2–5 variants on the identical audience, or a conditional survey.

Message

“Neue Hafermilch: gleicher Geschmack, 30% weniger Verpackung.”

One LLM call per segment · ~60 s
3

Read the split

Reaction distribution per segment plus a verbatim “voice of the segment”. Print or save as PDF — watermarked.

appeal
trust
indifference
PDF Print / Save as PDF

Test modes

Three test modes

One engine behind every surface — the web app, the CLI and the API share the same guardrails and the same composite logic.

Single message test

One consumer-facing message; every audience segment reacts with a full response distribution plus a short “voice of the segment” summary.

Variant comparison (2–5)

All variants run on the identical synthetic audience — same seed, only the copy differs — with a ranking by the reaction you care about.

Conditional surveys

Up to 12 single-choice questions with skip logic. Follow-up reach is computed deterministically in code, never estimated by the model.

Coverage

One engine, three audience scopes

country pack

Country packs

29 EU markets, each simulated in the audience's own language (8 languages).

macro region

Macro regions & EU average

Western, Northern, Southern, Central and Eastern Europe plus the EU-27 mean — documented, editable groupings for directional reads.

COMPOSITE

Composite runs

A macro-region query runs each member country separately and combines the results population-weighted. The weighting math lives in code, not in the LLM.

Method honesty

Honest by mechanism, not by promise

The engine is built so it cannot overstate what it knows.

Watermarked output

Every result carries a SYNTHETIC SIMULATION watermark — on screen and in print. This is model-based estimation, not a survey of real respondents.

No invented accuracy

Accuracy figures appear only once they are measured against a sourced real-world case corpus. Until then, none are shown — anywhere.

Uncalibrated means flagged

Axes without real calibration data are mechanically marked, and custom surveys are always directional. Instead of a misleading ±% margin of error (which does not apply to synthetic agents), Samplio reports re-run stability.

Commercial research only

Election and political-campaign use is prohibited on every surface and rejected at the engine boundary — an 8-language keyword screen plus an LLM classifier enforce the terms of service mechanically.

Built for EU brands and agencies

Create a free account and run your first test in minutes — or write to us for a sample report and a guided walkthrough.

Free during the pilot · No card · Commercial use only