Highlight

Claims testing made easy

From ideation and validation to substantiation and refreshing — get the in-context data you need for relevant, effective, consumer-endorsed claims.

Claims testing & substantiation

Built for innovators. Loved by product teams. Trusted by leading brands.

Kraft HeinzCoca-ColaSimplyExplorerMondelēzAeston WestTysonLOLALiquid DeathMarsL’OréalColgateUnileverThrive MarketCloroxNestlélululemonEatifulHanesMaple BrothersPepsiCosmoP&GSpindriftKimberly-ClarkKing’s HawaiianCVS HealthAeliaKraft HeinzCoca-ColaSimplyExplorerMondelēzAeston WestTysonLOLALiquid DeathMarsL’OréalColgateUnileverThrive MarketCloroxNestlélululemonEatifulHanesMaple BrothersPepsiCosmoP&GSpindriftKimberly-ClarkKing’s HawaiianCVS HealthAelia
Turn product promises into proven performance

Precision claims testing, from first draft to on-pack

Tested in context

See how your target audience actually perceives and responds to claims in their natural environment — not a lab or survey setting.

Multiple variations at once

Test claim variations simultaneously to find the messaging that creates the strongest emotional connection and purchase intent.

Promise meets performance

Measure the match between consumer expectations and actual product experience, so your product delivers on every claim.

How Highlight does it

How leading brands validate claims with confidence

01
Root claims in the physical product experience

Perceptual claims from real consumers are one of the strongest tools for launching with social-proofed messaging that drives trial. In-home testing captures honest reactions your team can use to ideate claims or narrow the list.

02
Meet the highest substantiation standards

Quantitative methodology in adherence with ASTM standards — monadic, or head-to-head with a competitor while Highlight’s logistics team handles the blinding. Protocols align with the FTC’s “Competent and Reliable Scientific Evidence” requirement.

03
Keep claims accurate over time

Consumers, categories, and competitors evolve — your claims must too. Subscription plans and multi-project dashboards make a regular claims-testing cadence easy to maintain.

Case study · Wile

How Wile tested supplement claims with real users in their target condition

  • Efficacy, symptom relief, and purchase-intent claims validated in a single 30-day study
  • Actionable data in 5 weeks from kickoff for an in-market product
  • 100+ authentic consumer reviews ready for marketing from day one
  • 103% completion rate on a month-long longitudinal study
Read the case study
5weeksfrom kickoff to claims data

Getting started is simple

1
Design your test

Define your objectives, create your survey, and set parameters for your ideal testers.

2
We ship your products

We handle recruitment and distribution to get your products into the right homes.

3
See your data instantly

Feedback streams into the platform and becomes actionable insight as it arrives.

Use cases for claims testing

New product launch validation

Confirm claims resonate and reflect real experience before you invest in a full launch.

Reformulation impact assessment

Verify existing claims still hold — and find new ones — when the formula changes.

Sensory claim substantiation

Confirm “silky smooth” or “fresh scent” matches what consumers actually perceive.

Long-term efficacy validation

Capture consumer-reported results at intervals to back time-based claims.

Common claims testing & substantiation questions

What types of claims can I test?

Virtually any product claim — efficacy, performance, sensory attributes, comparative superiority, even emotional benefits. “Lasts 24 hours,” “gentler than leading brands,” “improves texture in 2 weeks” — if it’s a promise, it can be validated.

What’s the difference between claims testing and substantiation?

Testing discovers which claims resonate and drive purchase intent during development. Substantiation provides the rigorous, quantitative evidence that your product delivers on the specific claims you’ll market. Highlight supports both.

What if my product doesn’t perform as expected?

That’s valuable — detailed feedback shows exactly why, whether it’s formulation, misaligned expectations, or messaging that oversells. Adjust before launch instead of learning through negative reviews and returns.

How reliable is the data?

A selective 48% community acceptance rate and continuous quality monitoring keep junk data to 1–2%, versus the ~30% common in traditional surveys — a foundation solid enough for claims decisions.

Get the data to demonstrate real results and efficacy

Your audience will judge your product promises either way — know what they think before launch, not after.