What Is Syndicated Data?
Syndicated data is third-party retail measurement. Providers pool point-of-sale scan data from thousands of stores, clean it, project it to represent a full market, and sell the result to the industry as a shared yardstick. In US CPG, three providers dominate: SPINS, Circana and Nielsen. Everything else in this guide builds on that sentence.
Picture the meeting it exists for. You are across the table from a grocery buyer, and both of you have a number for your brand's velocity in her chain. Not similar numbers. The same number, from the same feed, because she buys the category data and you buy your slice of it. Since the spreadsheets agree, the conversation is about what the number means, and the advantage goes to whoever can connect what the metrics measure to what the business should do about it.
Why it is called syndicated
The word describes the business model. Retailers license their register scan data to a measurement provider. The provider pools it across thousands of stores, cleans it, projects it to represent the full market, and then syndicates the result: the same dataset, sold to any brand, broker or retailer that pays for it [1]. Nobody gets a private version of the numbers.
That model has a consequence worth sitting with. Your category review at the buyer's desk, your competitor's pitch for your shelf space, and the retailer's own category analysis all run on one measurement system. A brand that cannot read that system fluently is at a disadvantage in every one of those conversations. Nielsen's own buyer education makes the expectation explicit: retail buyers assume you know terms like velocity and % ACV before you sit down [2].
POS data: what sold, where and when
Point-of-sale data is scan data. Every time an item with a UPC crosses a register in a cooperating store, that transaction feeds the pool. POS data measures stores: dollar and unit sales, distribution, pricing, and promotion conditions, reported by product, market, and time period [1].
This is the data most brand teams mean when they say "our SPINS data" or "our Circana numbers." It is where the workhorse measures live (% ACV distribution, TDP, and velocity) and where market share is calculated, which is the reason the whole apparatus exists. Because every brand in a category is measured on the same basis, the data functions as an agreed-upon leaderboard. Your dollars are a fact about you. Your share is a fact about you relative to everyone competing for the same shelf, and it is the number a buyer is actually deciding on. But the data has a hard edge: POS can tell you your hot sauce sold 4,200 units in Southeast grocery last period at an average $4.99, in stores covering 38% of the market's volume, and still not tell you a single thing about who bought it.
Panel data: who bought, how often, and where else
POS records outcomes at the register. It cannot tell you who bought, whether the same household came back, or where else that household shops. Those are panel questions.
Panel data measures people and their shopper behavior. Providers recruit households who record everything they buy, historically with in-home barcode scanners and now overwhelmingly through receipt capture apps [3], and project the sample to the US population.
Nielsen and Circana jointly operate the National Consumer Panel, roughly 120,000 US households balanced to the Census [4]. Because they share that infrastructure, panel is not a differentiator between them the way channel coverage is in POS. They differentiate through the hierarchy and attribution they lay over the same underlying sample. SPINS also leverages the National Consumer Panel.
Numerator is a separate business running an independent receipt panel of over a million active US households, with purchases collected through consumer apps in exchange for rewards [5]. It is not part of the NCP joint venture, and for many brands it is the more aligned panel data partner.
Worth stating plainly, because it changes the shape of the decision: the three providers this guide compares are the ones that matter for POS, but panel is a wider field. Choosing a POS provider does not commit you to that provider's panel, and the two decisions are worth making separately. We cover panel provider selection and the metric frameworks in depth in our consumer panel guides.
This is how panel answers the questions scan data structurally cannot: household penetration (what share of households bought you at all), buy rate (how much each buying household spends), and purchase frequency (how often they come back). The distinction earns its keep fast. Suppose your POS dollars are flat. Panel can reveal two opposite realities behind that flat line: penetration climbing while buy rate falls (new triers, weak repeat) or penetration shrinking while loyalists stock up (a leaky bucket with a devoted core). The two cases call for completely different responses, and POS alone cannot tell you which one you are in.
Most emerging brands start with POS only, because a brand must have a large enough sample of buyers in the National Consumer Panel to be accurately projected to the entire United States population. Panel typically enters later, when the "who is my buyer" questions start costing real money to leave unanswered.
What syndicated data is not
Three boundaries keep new readers out of trouble. Syndicated data is not your distributor data. A UNFI or KeHE report shows shipments into warehouses, while syndicated POS shows scans out of registers, and the two routinely disagree. It is not your retailer portal data either, because portals report one chain's stores under that chain's rules while syndicated projects across a whole market. Additionally, distributor and retailer portal data do not include competitive information; they cover only your own brand. And it is not the whole market, because DTC, most of Amazon, and the retailers who decline to share data at all sit outside the brick-and-mortar scan surface. That last group is covered in what syndicated data does not tell you.
One more thing that decides whether the data works for you
Every provider organizes products into its own hierarchy, running from department down through category and subcategory to the individual UPC. That structure decides which items count as your category, which competitors sit inside it, and therefore what your share is. Two providers can measure the same stores in the same weeks and report different share because they drew the category boundary differently. Before signing anything, confirm that a provider classifies your full portfolio the way you view it and that everyone you consider a competitor is included in your data subscription scope.
The file that runs your month
Here is how syndicated data actually shows up at a brand: as a recurring file. Every 1 to 4 weeks, depending on your contract, a new extract lands with the latest period's numbers. At most brands someone then downloads it, loads it, checks that the columns still match, and rebuilds every report sitting on top of it. That ritual, the drop, quietly eats a day per period, which is why we built Sous to handle the drop itself: it detects the new file, validates it against the prior period, and re-runs every workbook built on the data.
The rest of this guide teaches the yardstick itself: how the data is collected and projected, how SPINS, Circana, and Nielsen differ, and how to read its measures without breaking their math.
Common questions
Is syndicated data the same as POS data? Syndicated POS is scan data pooled across many retailers and projected to a market. A single retailer's own register data is POS but not syndicated, because it covers one chain and is not projected.
What is the difference between POS data and panel data? POS is scan data from store registers and measures stores: what sold, where and when. Panel data comes from recruited households who capture their own purchases, now largely through receipt capture apps, and measures shopper behavior: who bought, how often, how much and where else they shop. POS shows what happened; panel helps explain why.
Who buys syndicated data? Brands, retailers, brokers, distributors and investors. The same projected dataset is licensed to all of them, which is exactly the point: it gives two negotiating parties one set of numbers to align with.
Do I need syndicated data as a small brand? Once you sell through retailers that review categories with it, effectively yes. The buyer will quote your velocity and your % ACV whether or not you can see them. Which provider fits is the subject of which syndicated data provider do you need.