Test a claim before it ships
Which efficacy language consumers believe, which they doubt, and the words they use for your science.
The label makes a promise. Do consumers believe it? Reviews, ingredient conversation, syndicated context, and your own research, connected — every claim traceable, so you defend or reformulate on evidence before belief settles the story for you.
Which efficacy language consumers believe, which they doubt, and the words they use for your science.
Every assertion traced to source and confidence-scored, ready when a retailer asks how you know.
Pack, site, and creator briefs together, so your regulatory team reviews from a complete list, not a search.
Who consumers are substituting toward, and what they say they’re getting instead.
Pair platform demand with sell-through evidence for the planogram conversation.
Where credibility is being built by platform, now that beauty EMV has shifted underneath everyone.
Where your price-and-efficacy story lands as mass and prestige converge.
Which categories those shoppers are adding — firming, hair, regimen support — as category economics.
Reviews shift in days, ingredient skepticism spreads faster than a tracker refreshes, and by the time the panel confirms the efficacy story, the belief that drives repeat has already settled.
Will you tell me when the claims evidence is thin?
Yes — that is the whole posture. Every claim is cited and confidence-scored, and Merciv flags weak substantiation rather than filling the gap. Evidence you can stand behind, not legal or regulatory advice.
Is any of this synthetic? I need real consumers.
None of it. Merciv is grounded in licensed consumer data — real reviews, real conversation, your own research — never invented panelists or synthetic respondents.
How is this different from the listening tool we already pay for?
Listening shows the spike. Merciv connects belief to your own research, reviews, and syndicated context, and sends every claim back to source.
The actives, formats, and claims rising in your category, monitored with history, so the brief lands before the peak instead of documenting it afterward.
Perception of your claims language across reviews and conversation, cited to the verbatim, so you defend the claim while it still holds instead of after it slips.
Complaint and sentiment shift at the SKU level, surfaced early enough to respond before the review score settles the story for you.
Stated values next to observed purchase behavior in the category, so the read reflects the routine consumers keep, not the aspiration they describe.
A global pharma company used Merciv to aggregate thousands of patient verbatims and run semiotic analysis across 4 departments.
A leading athletic apparel brand used Merciv to analyze 10,000+ reviews, benchmark 5 competitors, and identify the product feature gap driving market share loss.
Built on licensed sources with retailer data terms honored, not scraped or resold
Category and segment intelligence, never person-level targeting
How every answer is sourced is documented and reviewable
Each answer links back to source material anyone can open
Your data is never used to train models, yours or anyone’s
Independently audited controls, cleared for procurement
Bring a claim or launch you have to defend. We’ll show Merciv reading the belief behind it, cited to the reviews.