Twins · Simulation

Test what will move your audience before you launch

Each audience is built for your question from your own studies or a quality survey dataset, one digital twin per real respondent. Compare campaigns, products and prices, and see who chooses what, and why.

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Simulation

Compare the options with the audience that decides

Ask the same question across segments and see the split, the reasons and the words behind each choice.

Studies / Message comparisonSmoothie buyers · Mexico · 1,200 twins

Should we lead with everyday convenience or a lower price?

AEveryday convenienceA simpler smoothie routine.

BLower priceYour daily smoothie, for less.

A · Everyday convenience64%

B · Lower price36%

For Home blenders

Lead with everyday convenience. Keep price as a secondary message.

“I already blend most mornings. Make it easier and I’ll pay for it.”

Create brief

Studies / Message comparisonSmoothie buyers · Mexico · 1,200 twins

Should we lead with everyday convenience or a lower price?

AEveryday convenienceA simpler smoothie routine.

BLower priceYour daily smoothie, for less.

A · Everyday convenience64%

B · Lower price36%

For Home blenders

Lead with everyday convenience. Keep price as a secondary message.

“I already blend most mornings. Make it easier and I’ll pay for it.”

Create brief

How Twins work

From real respondents to a decision brief

Each twin is a model of a real person who answered a real survey, so the audience keeps the variety that makes research worth doing.

Step 01 · Real respondents

Ground the audience

Each audience is built for your question, from your own studies or a quality survey dataset from a research partner. Every twin models one real respondent.

Step 02 · Study mode

Run a study

Choose the audience and compare concepts, claims, messages or prices. Results arrive in minutes, not weeks.

Step 03 · Conversations

Ask why

Talk to any twin one to one, push back on an answer and follow the reasoning, like a depth interview without the scheduling.

Step 04 · Executive brief

Share the brief

Every study returns quantitative results, themes, quotes and a recommendation for the team that decides.

Use cases

What teams test with Twins

The decisions that rarely get a study of their own, and the ones that need an answer before the big one.

Customer paying with a phone at a counter

Messaging

Messaging and ad testing

Test copy, creative and calls to action before you commit media budget.

Woman trying a skincare product at a counter

Concepts

Concepts and claims

Compare concepts and claims on appeal, clarity and purchase intent before a launch.

Pricing

Pricing and packaging

See how your target segment thinks about price and pack before you set them.

Brand

Brand perception

See where your brand sits in the category and what would need to shift.

Shopper comparing salad packs in a grocery aisle

Discovery

Customer discovery

Understand needs and jobs to be done without convening a focus group.

Follow-up

Follow-up questions

Put a new question to the same audience next week, with no new fieldwork.

Audiences

Start with a ready-made audience, or build your own

Ready-made audiences are built with research partners from custom and syndicated data. Private audiences are built from your own studies and stay visible only to your team.

Ready-made audiences

Grounded in partner panel data across consumer and B2B categories, and ready to use.

Private audiences

Upload a quantitative study, add transcripts and segmentation decks, and test against your own customers.

Your data stays yours

Uploaded research is used only to build your audience. It is never mixed with other data or used for anything else.

Browse audiences

Ready-made audiences in Fairgen: fresh produce buyers, smoothie enthusiasts, deal seekers and health-first parents

Methodology

Built on a methodology tested in public

Fairgen’s methods have been measured against real surveys in published studies.

Google · Macromill

23.8% tighter confidence intervals

Google and Macromill benchmarked Fairgen against the underlying human survey across 52 brand-lift cuts.

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L’Oréal · IFOP

84% KPI alignment

L’Oréal and IFOP compared Fairgen’s results with the survey of record and found 19% lower error.

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Independent study

28,630 respondents

An independent validation of when synthetic data works, and when it does not.

Learn more →

FAQ

Questions about Twins

Start with the decision that matters next

Bring one category and one decision. We will show you the evidence, the audience and the brief.

Request a demo

Enterprise deployments · SOC 2 Type II

Start with the decision that matters next

Bring one category and one decision. We will show you the evidence, the audience and the brief.

Request a demo

Enterprise deployments · SOC 2 Type II