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Merciv
Merciv for CPG & Retail

Understand why market share moves

Read your trade spend, shipment records, and past category reviews against syndicated measurement, retailer POS, and live consumer signal — for a complete view of your brand in one place.

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

Track changes in ingredients, formats, and occasions across consumer conversations and category data between scheduled reviews.

Innovation pipeline

Pressure-test innovation bets before they hit production

Concepts read against segment models grounded in licensed data — synthetic personas included, always tied to real 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.

How CPG brands and retailers use Merciv

  • Explain share losses before the QBR

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

  • Read NIQ and Circana together

    Read both sources in one answer, with differences in coverage, definitions, and timing shown rather than silently resolved.

  • 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

Every shift has an explanation. The right one is hard to find.

Panels, retailer POS, and shipment records can tell different stories. Reconciling them by hand starts over each cycle, while line reviews and category reviews run on fixed dates.

Common questions

How Merciv works with your data

  • 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.

Case studies

What teams have done with Merciv

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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 the reader is authorized to 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

Who uses it

For insights, brand, and data teams

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Make sense of CPG & Retail

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

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FAQ

Questions CPG teams ask