Merciv
For CPG

Consumer intelligence built for CPG

Syndicated, panel, social, and a decade of your own research, connected, so you can explain sell-through before the category review, not after.

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The category review is in eight weeks. What’s the shopper story behind our sell-through, cited to source?The category review is in eight weeks. What’s the shopper story behind our sell-through, cited to source?
Use cases

Your syndicated data says what moved. Start here for why.

  • Explain share losses before the QBR

    Decompose them into distribution, velocity, price/mix, and promo — then name the why, cited to source.

  • Reconcile NIQ and Circana into one number

    Aligned hierarchies, promo calendars, and lift definitions, so your Total US read holds up when someone challenges it.

  • Build the JBP fact base

    Three to four months of prep in one place — velocity, ACV, competitive mapping, and the shopper story.

  • Prove incrementality before the line review

    Net category lift, cannibalization by SKU, and sustain-lift ratio — the numbers buyers now ask for.

  • Defend the shelf against private label

    Where trade-down is happening, why, and the differentiation story that holds your facings.

  • Gate the concept before the spend

    Put it against live category signal and your own concept-test archive, before development money commits.

  • Read shifts while the scan data settles

    Watch the category conversation move in the weeks before it clears syndicated — then confirm it there.

  • Find the study you already paid for

    Ask a decade of U&A, segmentation, and concept tests instead of re-fielding what’s already in the archive.

The problem

Your data lives in four systems and none of them explain sell-through

Syndicated tells you what moved, panel tells you who, social tells you the noise, and the category review clock runs while you reconcile them by hand.

Common questions

Executive-ready outputs out of the box

  • Does this replace NielsenIQ? That renewal is under scrutiny.

    No — it makes that line item easier to defend. Merciv connects the NIQ, Circana, and panel read you already license to social, reviews, and your own archive, so the subscription explains sell-through instead of only reporting it.

  • Isn’t this just social listening with a different name?

    Listening shows the conversation alone. Merciv joins it to licensed category data and your archive, with every claim cited back to source.

  • We already have an internal GPT on our research archive

    Merciv adds the licensed external and live-category layer that archive doesn’t contain — cited to file and page, and honest when the evidence is thin rather than filling the gap.

Category review

Explain the number before the category review

When sell-through dips, Merciv connects the panel and the conversation to say why, cited, before anyone asks you to defend it.

Reviews

Every review, everywhere you sell, read as one

Merciv pools reviews across every storefront into one portfolio view — so the complaint no single site surfaces alone shows up as a theme.

Share tracking

Catch shifts before they cost you share

The ingredient, format, or occasion moving in your category, tracked continuously, not discovered at the annual.

Innovation pipeline

Pressure-test innovation bets before they hit production

Concepts read against segment models grounded in licensed data, no synthetic panelists, so innovation bets carry evidence.

Retailer negotiation

Walk into the retailer conversation with evidence

The shopper and category story behind your JBP ask, every claim clickable back to its source.

Case studies

Proof from teams running the same playbook

Read case studies

Built for how CPG handles data

Visit the Trust Center

  • Licensed data, retailer terms respected

    Built on licensed sources with retailer data terms honored, not scraped or resold

  • No PII, no individual-level decisions

    Category and segment intelligence, never person-level targeting

  • Sourcing methodology published

    How every answer is sourced is documented and reviewable

  • Every claim cited

    Each answer links back to source material anyone can open

  • Zero training on your data

    Your data is never used to train models, yours or anyone’s

  • SOC 2 Type II

    Independently audited controls, cleared for procurement

Request a demo

See Merciv on your category’s data

Bring a subcategory and the number you have to explain. We’ll show Merciv reading it, cited.

Read case studies
FAQ

Questions CPG teams ask