Merciv
For food & beverage

Consumer intelligence built for food & beverage

Your syndicated data says what sold. Merciv connects panel, menu, reviews, and category conversation into the why — cited, in time for the line review, not a quarter after the occasion moved.

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Our velocity dropped six points in Circana MULO+ over the last 12 weeks. Is that an occasion problem, a format problem, or a claim problem?Our velocity dropped six points in Circana MULO+ over the last 12 weeks. Is that an occasion problem, a format problem, or a claim problem?
Use cases

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

  • Explain velocity dips

    Connect the Circana number to the occasion, format, or claim that moved it — every line clickable to source.

  • Map GLP-1 exposure by format

    Which of your packs are losing units to smaller portions, and which protein and satiety plays are absorbing them.

  • Bring the why to the line review

    Buyers pull their own numbers now. Arrive with the shopper reason behind them, ending in three prioritized actions.

  • Track occasion migration

    Where your SKUs are gaining and losing — mini meals, purposeful snacking, late-night, alcohol substitution.

  • Pressure-test a claim before it ships

    Which protein, gut-health, and clean-label claims consumers actually believe — in their words, with sources attached.

  • Fund or kill the concept

    Put a pipeline concept against live category conversation and a decade of your own concept tests.

  • See which rival launches stick

    Repeat behavior and consumer verbatims on competitor SKUs — not just their distribution gains.

  • Build the private-label value story

    Where shoppers are trading down, why, and the cited case that holds your facing.

The problem

Four portals. One story. By Thursday.

Tracker says volume shifted, panel says who moved, menu data says what’s on the line, and social says the noise — reconciled by hand while the innovation review clock runs. Syndicated catches the occasion after it compounds; the conversation already moved.

Common questions

Executive-ready outputs out of the box

  • Does this replace our Circana subscription?

    No, and you would not propose that internally. Merciv connects what happened to why — the panel and syndicated read you already license, joined to menu, reviews, and category conversation, every line cited to source.

  • We built an insights GPT on our own archive. Why add this?

    Your archive is the half Merciv doesn’t have to rebuild. What it adds is the licensed external and live-category layer around it, cited to source, and honest when the evidence is thin instead of inventing a plausible answer.

  • How do you handle the say/do gap?

    Stated intent from surveys next to observed behavior in the category, quantified and cited — so the read reflects what eaters actually buy, not just what they claim to want.

Occasions

Read the occasion, not just the aisle

How usage moments are shifting under health, economic, and cultural pressure — and where your category shows up now that it didn’t before.

Flavor cycle

Catch the flavor and format cycle while it’s still upstream

What’s moving from foodservice and conversation toward retail shelves, tracked continuously, so the line review starts from where the cycle is heading.

Say/Do gap

They say healthier — what’s in the basket?

Health intent from surveys next to actual category behavior, so the read reflects what eaters actually buy, not just what they claim to want.

Private label

Defend the shelf against private label with evidence

Where your price and value perception actually stands, cited, and the category story that holds the facing at the next reset.

Case studies

Proof from teams running the same playbook

Read case studies

Built for how food & beverage 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 shift you have to explain. We’ll show Merciv reading the occasion behind it, cited.

FAQ

Questions food & beverage teams ask