Test it before you build it.
A price, a package, or a concept in one paragraph. Put it in front of Synthetic Individuals built from your own customers, and see who takes it and what stops them.
SurveyWalk them up the price ladder — $18, $22, $26, $29 — and find where it stops feeling worth it.
Benchmarked in public. Trusted by teams at global brands.
Sources · iMario Synthetic Audience Benchmark, public method and raw files · Pew Research Center, survey methodology · NORC, Fraudulent respondents and bots in nonprobability surveys (2026) · Updated 2026-09-05, reviewed by iMario research










Every price and concept is a bet, and the first real test is usually the launch. With iMario, your customers test it first, while changing it costs nothing.
Testing costs more than guessing. So everyone guesses.
What a traditional pricing or concept test typically takes. The decision is usually made before it reports back.
What everything else gets. Most prices, packages and features go live on the strength of a meeting.
Of online panel responses are estimated to be fraudulent: bots, speeders and professionals pretending to qualify. They are removed after fieldwork, if they are caught.
Put the decision in front of the people it lands on.
Drop in the price, package or concept, send it to your own customers, then open any number that surprises you. One afternoon, no questionnaire design, no recruiting.
A decision, not a deck.
A verdict before the spend
Every price, package and concept gets an answer while changing it still costs nothing.
- Repair overnight46%
- Daily protection31%
- Clinically tested25%
- None of them12%
The who behind every number
Each percentage opens into the people behind it: their plan, their tenure, their reasons in their own words.
Cheap enough to test everything
A test costs credits and an afternoon. The small bets get tested too, not just the flagship ones.
A panel concept test and an iMario test, side by side.
The same price, package or claim, tested the usual way and on iMario. Typical agency timelines on the left; the run shown on this page on the right.
| Decision | Panel concept test | Concept test on iMario |
|---|---|---|
| Time to a verdict | About six weeks: questionnaire design, recruiting, fieldwork, cleaning, a deck. | One afternoon. Drop the offer in as it is, and the first results land in minutes. |
| Who answers | A panel sample screened to look like your customers. | Synthetic Individuals built from your own customers, or from any of 59 markets. |
| Data quality | An estimated 15 to 30% of responses are fraudulent and have to be found and removed. | No bots, no speeders, no professional respondents. Every answer opens into the person behind it. |
| Follow-up | A second study to ask the people who hesitated why. | Select the hesitators from the same run and ask them, the same afternoon. |
| What gets tested | The flagship bet. Everything else goes live on the strength of a meeting. | Every price, package and claim, because a test costs credits, from one per respondent per question. |
Fraud estimate: NORC, Fraudulent respondents and bots in nonprobability surveys, 2026. Accuracy figures: iMario Synthetic Audience Benchmark, public method and raw files.
Three launch decisions, seven days.
One pool answered all three questions, so the packaging, claim and price reads could finally be cross-referenced against the same people.
Packaging, claim and price run concurrently on one pool of 200 synthetic consumers, then sanity-checked against 10 human interviews — inside the same week.
See more detailsWhere they were
A men’s grooming line inside a top-three global beauty group had a new SKU shipping next quarter and three open decisions — packaging, which claim leads, and the price ladder — holding up the print files. The season was locked; agency fieldwork was five weeks.
faster
Five weeks of agency fieldwork became 24 hours of synthetic interviews.
cost saved
About $100,000 in agency, recruiting and incentives replaced by under $400 in credits plus ~$2,000 for the human cohort.
Testing a specific offer, such as a price, a package or a concept, on Synthetic Individuals built from your own customer data and a modelled population. The read comes back as a distribution and as individual reasons, before you commit.
