Category Management

CPG Retail Data Guide: SPINS, NielsenIQ and Circana

Brand Refinery|

CPG retail data is the language retail buyers speak, and most emerging brands walk into buyer meetings without it. A buyer at Target, Kroger, or Whole Foods does not decide on a brand story. They decide on category growth, velocity, share, and incrementality, and they read those numbers from SPINS, NielsenIQ, Circana, and their own retailer portals. A founder who cannot speak that language is asking the buyer to translate, and buyers rarely do.

Brand Refinery is a CPG consulting firm that helps founders and investors use category data to win and keep U.S. retail distribution. This guide explains what each major data source measures, what it realistically costs an emerging brand, and how to turn a data subscription into a buyer pitch that gets a yes.

What Syndicated Data Is and Why Buyers Trust It

Syndicated data is point-of-sale (POS) data that a third party collects from retailers, standardizes into categories, and sells back to brands and retailers. Because every brand in a category is measured the same way, a buyer can compare your velocity against competitors without trusting your spreadsheet. That neutrality is the whole point. Your own sales reports show what you shipped. Syndicated data shows what sold, at what price, in which stores, against whom.

The three syndicators that matter in U.S. CPG are SPINS, NielsenIQ (now branded NIQ), and Circana (formed from the 2022 merger of IRI and NPD). Each covers different retailers and channels, and choosing the wrong one for your business means paying for data your buyers do not use.

SPINS: The Natural and Specialty Standard

SPINS is the default data source for natural, organic, specialty, and wellness brands. Its strength is the natural channel and its product attribution layer. SPINS tags products by attributes such as organic, non-GMO, plant-based, keto, and functional benefit, so a brand can show a buyer how the "high-protein, no added sugar" segment is growing rather than just the broad category.

SPINS also captures distributor-flow data from UNFI and KeHE, which pulls in the long tail of independent natural retailers that no other syndicator sees. Direct scan coverage includes natural-leading chains such as Sprouts and Fresh Thyme. Two gaps matter: Whole Foods is not in the SPINS scanner stream, and SPINS' conventional coverage (its MULO+ product) rides on a partnership with Circana rather than SPINS' own retailer relationships.

SPINS does not publish a rate card. Cost depends on channel coverage, attribute depth, and portal tier, and the entry point for a small brand is often lower than founders expect. If your business is concentrated in natural and specialty, SPINS is where you start.

NielsenIQ: Reach, Panels, and the Byzzer On-Ramp

NielsenIQ has the broadest cross-channel scanner coverage outside Circana's conventional grocery dominance, strong international coverage for brands operating in multiple countries, and Homescan, a long-running household panel used for repeat-rate, source-of-volume, and demographic analysis.

Two facts make NIQ especially relevant to emerging brands:

  1. Byzzer is NIQ's self-serve platform for smaller brands. It runs on the same retail measurement data as the enterprise product, priced for companies too small for a full contract. NIQ publishes starting prices for its startup tier, with offerings beginning around $1,000 and report bundles at $4,950 and $10,000 for eligible startup brands. Confirm current pricing directly with NIQ, since these packages change.
  2. NIQ carries Whole Foods POS data. Whole Foods named Nielsen its primary U.S. analytics provider for POS data in 2016, and that remains the last public word on the arrangement. For a Whole Foods-heavy brand, NIQ is where a real Whole Foods read lives. Confirm the arrangement still applies to your category before you build a pitch on it.

NIQ's weakness is natural-channel depth, where SPINS still wins on attribution, and onboarding complexity in the enterprise product, which is why emerging brands tend to start on Byzzer.

Circana: The Conventional Grocery Benchmark

Circana is the default for conventional multi-outlet (MULO) analysis: major grocery, drug, mass, club, and dollar. It has the deepest history and the most stable methodology for multi-year comparisons, which is why buyers at conventional chains expect to see Circana numbers in brand decks. Its consumer panel is strong for repeat and source-of-volume work.

Circana's gaps mirror SPINS' strengths: natural-channel coverage is shallower, and Whole Foods is projected into channel totals rather than read directly. Circana does not publish pricing, and enterprise contracts are commonly reported in the high five to six figures annually. Scope a limited category-and-channel package before assuming it is unaffordable.

Retailer Portals: Walmart Scintilla, Kroger 84.51°, and Target

Syndicated data lags by design, usually weeks. For tactical reads such as a week-one distribution check or promotion monitoring, retailer-direct data is faster and more granular.

  • Walmart Scintilla is the new name for Walmart Luminate, rebranded in 2025 as Walmart Data Ventures expanded the platform to Canada and Mexico. Scintilla gives suppliers first-party Walmart shopper and sales data, and Walmart has added AI-driven, forward-looking recommendations and in-home user testing through its Customer Spark community. Walmart offers tiers for both large and small suppliers. If you are pursuing Walmart, read our guide on how to get into Walmart as a brand alongside this one.
  • Kroger 84.51° Stratum is Kroger's supplier-facing data platform, built on Kroger loyalty card data. It is the fastest way to see how your product performs across Kroger banners and which households are buying it.
  • Target Partners Online (POL) is Target's vendor portal, with sales and inventory reporting for authorized vendors.

Retailer portals only cover that retailer, so they complement syndicated data rather than replace it. The combination of a syndicated view (how the category behaves everywhere) and a retailer view (how you behave in this buyer's stores) is what a strong category review looks like.

What Data Does Not Cover: DTC, Amazon, and Digital

All three syndicators are POS-based at brick-and-mortar retail. Direct-to-consumer, most of Amazon, Instacart, and Shopify sales fall outside the syndicated surface entirely. Brands with meaningful digital revenue layer an ecommerce analytics tool such as Stackline, Profitero, or Pacvue on top, and some use receipt-based panels such as Numerator for household-level purchase data. A brand presenting only DTC growth to a grocery buyer is showing a number that means nothing to them. Bring the retail read.

How to Build a Data Stack on an Emerging-Brand Budget

Most growing brands end up with a multi-source stack by year three or four. Founders routinely underplan the cost by budgeting one tool at a time. Build the stack in stages:

  1. Pre-retail or first stores (under $1M revenue): Use free and low-cost sources. Distributor reports from UNFI or KeHE, retailer portals for any account you are already in, and a starter package such as NIQ Byzzer or an entry-level SPINS scope. The goal is one clean velocity number per store per week.
  2. Regional distribution ($1M to $5M): Commit to the syndicator that matches your channel. Natural brands buy SPINS. Conventional brands scope a limited Circana or NIQ package covering your category and your key retailers only.
  3. Multi-channel ($5M and up): Add the second syndicator when conventional becomes a meaningful share of revenue, usually triggered by a Walmart, Target, or Kroger authorization. Budget for a dual-source period that can run two to three years and plan for a combined six-figure annual data line at that stage.
  4. At every stage: Make sure someone on the team, or your broker, can actually read the data. Buying the subscription and not using it is the most expensive option of all.

Turning Data Into a Buyer Pitch

Data wins meetings when it answers the five questions every buyer is silently asking.

  1. Is the category growing? Show category dollar and unit trends for the last 52 weeks, in the buyer's channel, and identify the segment driving growth.
  2. Where is the white space? Use attribute data to show a need the buyer's current set does not meet. "Your protein bar set has no product under 5 grams of sugar, and that segment grew 18 percent in natural last year" is a pitch. "Our bars are delicious" is not.
  3. What is your velocity? Units per store per week in comparable retailers, benchmarked against the category average. A product that beats category velocity in 30 stores is more compelling than one with 300 doors and no read.
  4. Are you incremental? Panel or receipt data that shows your buyers are new to the category, or are buying you alongside rather than instead of the buyer's existing brands.
  5. What will you do to drive it? Your promotional calendar and support plan, tied to the velocity you are committing to. Our trade marketing strategy guide covers how to build that plan.

Present numbers the buyer already trusts: Circana or NIQ at a conventional chain, SPINS in natural. If you show SPINS MULO+ figures to a buyer who lives in a Circana portal, explain the universe difference up front or you will spend the meeting defending a mismatch.

How Brand Refinery Helps

Brand Refinery helps founders choose the right data source, scope a package that fits their revenue, and build the category story that goes in front of buyers, from velocity benchmarking and white-space analysis to the line reviews that decide whether a product stays on shelf. Explore our services, meet the team, or contact Brand Refinery to review your data stack before your next buyer meeting.

Frequently Asked Questions

What is the difference between SPINS, NielsenIQ, and Circana?

SPINS specializes in natural, organic, and specialty retail with deep product attribute data and distributor flow from UNFI and KeHE. NielsenIQ offers broad cross-channel and international scanner coverage, a household panel, a self-serve platform for smaller brands called Byzzer, and Whole Foods POS data. Circana is the standard for conventional multi-outlet grocery, mass, drug, club, and dollar analysis. Most emerging brands start with the source that matches their primary channel.

How much does CPG retail data cost for a small brand?

NielsenIQ publishes startup-tier pricing that begins around $1,000 for individual data offerings, with report bundles at $4,950 and $10,000 for eligible startup brands. SPINS and Circana do not publish pricing; entry-level SPINS scopes are often more affordable than founders expect, while full Circana enterprise contracts are commonly reported in the high five to six figures per year. Retailer portals such as Walmart Scintilla offer tiers for suppliers of different sizes.

What is Walmart Scintilla?

Scintilla is the name Walmart gave its supplier data platform, formerly Walmart Luminate, in 2025. Run by Walmart Data Ventures, it provides first-party Walmart shopper and sales insights to suppliers of all sizes, and the rebrand coincided with the platform's expansion to Canada and Mexico. Walmart has since added AI-driven recommendations and in-home product testing through its Customer Spark community.

What data should I bring to a retail buyer meeting?

Bring category growth trends for the buyer's channel, the specific segment or attribute driving that growth, your units per store per week benchmarked against the category, evidence that your shoppers are incremental to the category, and a promotional plan tied to the velocity you are committing to. Use the data source the buyer already trusts, which is usually Circana or NielsenIQ in conventional retail and SPINS in natural.

Does syndicated data include Amazon and DTC sales?

No. SPINS, NielsenIQ, and Circana are built on brick-and-mortar point-of-sale data, so Amazon, Instacart, Shopify, and other direct-to-consumer sales fall outside their coverage. Brands with meaningful digital revenue add an ecommerce analytics tool such as Stackline, Profitero, or Pacvue, and some use receipt-based panels such as Numerator for household-level purchase data across channels.

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