Substantiate the claims you actually want to make
The fastest way to get a skincare brand in trouble is a claim the data does not support. The second fastest is refusing to make any claim at all.
Request a test See a sample reportPerception claims and clinical claims are not the same thing
A consumer-perception claim reports what users experienced: how many agreed their skin felt smoother, how many would repurchase. A clinical claim asserts a measured physiological effect and needs instrumentation and a clinical protocol. Consumer testing supports the first properly and the second not at all. Being precise about which one you are making is most of the compliance work.
Claim-level results
Each claim is tested as its own agreement statement, so you learn which wording lands and which quietly underperforms.
Honesty weighting
Our scoring uses a Bayesian Truth Serum design that asks testers to predict the crowd as well as rate the product, which surfaces overclaiming.
An evidence trail
You get the instrument, the raw responses, and the sample composition, which is what a retailer or a reviewer will ask to see.
From brief to report in about three weeks
Brief
You tell us the product, the target skin profile, and the decision you need to make.
Match and ship
We recruit the skin-matched panel. You drop-ship to testers or send units to us.
In-home use
Testers use the product in their real routine, not in a lab under supervision.
Debrief and report
Structured feedback is captured, then you get the report, the raw CSV, and the reviews.
Ways brands use this
Pre-launch claim screening
Test six candidate claims and launch with the two that hold up.
Retailer submissions
Retail buyers increasingly ask for consumer evidence behind on-pack language.
Comparative claims
Head-to-head against a named incumbent, with the comparison built into the design.
Packaging and messaging
Check that the claim on the carton matches the experience in the bathroom.
The instrument, not just the answer
A number is only worth acting on if you know how it was produced. This is what runs behind every TryMe Panel, and it is the same instrument every time, which is what makes results comparable across your own products and over time.
Honesty-weighted scoring
Panelists rate the product and also predict how others will rate it, a Bayesian Truth Serum design (Prelec, Science, 2004). Answers that are more common than people expect carry more weight, which penalises reflexive positivity rather than assuming it away.
Intervals, not bare averages
Results are reported as top-two-box agreement with a 95% confidence interval, so you can see how precise a number is before you act on it. A 4.2 with no interval is not a finding.
Behavioural willingness to pay
Each panelist sees one randomised real price and says whether they would buy at it. Across the panel that traces a demand curve, which is harder to game than asking someone what they would pay.
Verified trial, enforced
A review is refused unless that panelist has a fulfilled claim or a completed debrief for that product. It is a server-side rule, not a policy note, and unverified reviews never count toward a rating.
Panel integrity
Physical claims go only to verified residential US addresses. Velocity, per-IP and per-address limits, geo restriction and bot filtering run on every claim, and blocked attempts are logged rather than discarded.
Claims you can defend
Perception claims are presented as perception, with the instrument and sample conditions available, aligned to the FTC expectation of competent and reliable evidence for the claim being made.
Method, not results. We publish what the instrument does; the numbers come from your test.
Frequently asked questions
Can I say "clinically proven" after a consumer test?
What does the FTC expect?
Do I need to disclose that testers got the product free?
How many testers substantiate a claim?
Related use cases
In-home testing
A lab tells you a formula is stable. It cannot tell you whether someone with dehydrated, fragrance-sensitive skin will k
Concept testing
Manufacturing is the expensive place to discover that nobody wanted the product. Concept testing moves that discovery ea
Review generation
A new product page with no reviews converts badly. Buying reviews is fraud. Earning them from verified testers is the on
Ready to test this product?
Tell us the product and the decision you need to make. We will tell you the design, the sample size, and the price before you commit to anything.
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