SPINS vs. 84.51° Stratum vs. Circana for Kroger data

Why your choice of Kroger data source matters

A brand sells through Kroger and wants a clearer view of what's moving at the shelf and who's actually buying. When it comes to SPINS 84.51 Stratum Kroger coverage, there are three sources you can write a check for:

• SPINS is syndicated and third-party. It carries Kroger inside its MULO and MULO+ coverage.
• Circana is the big syndicator for conventional grocery, with deep MULO coverage that includes Whole Foods.
• 84.51° Stratum is Kroger's own data and analytics platform, operated by its data subsidiary 84.51° under Kroger Precision Marketing.

Each answers different questions, and none fully substitutes for the others. Buying all three is expensive. Buying the wrong one for the question in front of you is also expensive, just less obviously so. This page maps the question to the source.

SPINS, 84.51° Stratum, and Circana for Kroger data: what each source is

SPINS (syndicated, third-party)

SPINS measures Kroger sales as part of its MULO+ coverage. You get total-store reads by default, and with a paid add-on, banner-level reads for Ralphs, King Soopers, Fred Meyer, Harris Teeter, and the other major Kroger banners. The typical bottom cell is brand × SKU × banner × week, and retailer-level and channel-level rollups come straight off that same data.

The real strength is that Kroger sits in the same data model as every other retailer. Cross-retailer and cross-channel comparisons are native, so you can put Kroger next to Sprouts, Natural Grocers, and Whole Foods (the last via NielsenIQ, Whole Foods' own provider) in a single report. For a brand that spans natural and conventional, this is the best tool for category comparison and benchmark work. The SPINS product attribute layer, organic, plant-based, non-GMO, functional, applies to the Kroger data exactly the way it applies to natural-channel data.

What you don't get: buyer demographics, basket-level data, or loyalty-segment cuts. Banner-level data costs extra, and without it you only see the total Kroger aggregate. The cadence is weekly with a multi-week lag, and the conventional-channel Kroger data comes through the SPINS–Circana partnership rather than a direct Kroger relationship.

On cost: standard SPINS contracts for natural brands start somewhere in the $30,000 to $80,000 range. The MULO+ extension and the banner-level Kroger add-on push you toward the top of that. Most brands bolting banner-level Kroger coverage onto an existing SPINS natural contract are looking at $5,000 to $15,000 a year more, depending on the tier.

Circana (syndicated, third-party)

Circana measures Kroger sales as part of its MULO and conventional grocery coverage. It has a direct data relationship with Kroger conventional, and it carries Whole Foods, which SPINS doesn't. That combination makes Circana the source to reach for whenever Whole Foods plus Kroger is the universe that matters. Standard cuts run brand × SKU × retailer × week, with banner-level and geo-level available under additional licensing.

Its strength is breadth. Circana has the widest conventional-grocery coverage, Whole Foods included, and it's the default for any pure-conventional MULO analysis. The history runs deep, the methodology is stable, and Circana Unify+ (the successor to the Liquid Data portal) has been the workhorse platform for conventional CPG work for years.

The weakness is the natural channel. Circana's natural-channel attribution is thin next to SPINS, and the attribute layer SPINS uses for natural products is either absent or much shallower here. There's no loyalty or household demographic data either. A full Circana MULO contract usually runs $60,000 to $150,000-plus a year for a brand account, more than SPINS for comparable coverage.

When should you pick it over SPINS? Mainly when Whole Foods is a real part of the business. Circana folds an estimated Whole Foods into its grocery total and SPINS doesn't, so a brand doing $2M-plus a year in Whole Foods is walking around with a sizable blind spot on SPINS-only data.

84.51° Stratum (Kroger-direct)

Stratum measures loyalty-card-attached purchase behavior across Kroger and its family of banners. 84.51° describes it as drawing on transactions from one in every two US households, a loyalty-attached base far larger than anything a panel could recruit. The granularity goes all the way down to the household (anonymized, with demographic attributes), the basket (what else was in the cart), and the trip (the purchase occasion and trip type). That's a different kind of data than any syndicator produces.

Where it shines is the who. For demographic and household-segment attribution at Kroger, nothing else comes close. It shows basket behavior, what your buyer picks up alongside your product, and it tracks loyalty segments over time, so you can actually answer whether trial buyers are repeating and how often. Banner-level performance comes at a speed and granularity syndicated data can't touch. The platform spans Stratum's analytics dashboards, Data Direct raw feeds, and newer self-serve tools, Data Orders for ad-hoc custom pulls and the AI-driven weekly summary "Agent Monday" that launched in 2025.

The catch is that it's Kroger-only, so there's no cross-retailer comparison. The loyalty data only covers transactions where a loyalty card was scanned, which means cash and unlinked trips go missing, and that gap varies by store and category. Pricing is enterprise-tier, gated behind a vendor agreement, and the cost model folds in both platform fees and, for Kroger Precision Marketing (KPM) campaigns, media spend minimums. It is not a self-serve tool for a small brand without a broker or retail relationship manager to open the door.

Kroger data sources comparison: question → source

A worked example: post-promo analysis at Kroger

A protein bar brand runs a four-week temporary price reduction (TPR) at Kroger in Q3. Once it ends, the category director asks the two questions that always follow a promo: did it work, and did it hold?

SPINS and Circana answer "did it work," from the syndicated read:

The syndicated read says the promo lifted volume 85 to 90% during the four promo weeks, and post-promo, sales settled back within 5% of pre-promo levels. No long-term pantry loading paid for with a slow recovery. By that measure it was a clean, efficient promo.

84.51° Stratum answers "did it hold," and the loyalty data adds the part the syndicated read can't see. 38% of promo-period buyers were new to the brand at Kroger in the prior 26 weeks, so genuine trial buyers. Of those, 29% came back for a second purchase within 8 weeks of their first promo buy, which is a solid repeat rate given the category averages 22% for new buyers. The trial buyers who repeated skewed heavily toward King Soopers and Ralphs, the banners where household income and organic-buying behavior line up with the brand's core buyer. And 12% of promo-period buyers were lapsed brand buyers, people who'd bought 12-plus months ago but not recently, so the promo also clawed back some lapsed customers.

That's the story the syndicated read just can't tell: the promo worked in the right banners and converted 29% of trial buyers to repeat, above category average. That's the number you take to commercial leadership and to the Kroger buyer as proof the promo built durable value instead of a one-week volume spike.

84.51° Stratum: access and pricing realities

84.51° runs several data and media products under the Kroger Precision Marketing (KPM) umbrella. Four of them matter to a CPG brand analyst.

The Stratum analytics platform is the self-serve dashboard layer, covering household behavior, basket, demographics, and brand-level KPIs at Kroger. Access takes a vendor agreement with 84.51°, and the pricing is either a subscription fee or per-query, depending on your tier. Brands without a direct relationship often reach Stratum through a shopper-marketing agency or a broker's data services.

Data Orders are ad-hoc pulls for custom analyses the standard dashboard doesn't cover. They're the right move when a specific question, say "what demographic over-indexes on our brand in Q4 versus Q3?" needs a cut nobody pre-built. They're priced per request.

Data Direct is the raw-feed integration, for brands or agencies that want to run Kroger loyalty data through their own analytical stack. It needs technical setup and a higher-tier vendor agreement.

Agent Monday is 84.51°'s AI-powered weekly digest. It summarizes brand performance at Kroger automatically, launched in 2025, and lives inside the Stratum platform. It hands you a pre-synthesized view of the key weekly metrics so nobody has to build the report by hand.

On pricing: 84.51° doesn't publish its numbers, and everything is negotiated through the vendor agreement. In practice, brands under $5M in annual Kroger sales tend to struggle to justify the platform cost, while brands above $10M a year in Kroger revenue usually find the ROI obvious. Shopper-marketing spend through KPM, Kroger's media network, can offset some of the platform access cost inside the KPM program structure, and brands running meaningful KPM campaigns often get Stratum access bundled in.

A practical pattern

Most brands that take Kroger seriously end up running two of these three sources. They keep a syndicator, SPINS or Circana, or both if they span natural and conventional, as the always-on cross-retailer read: what's happening at Kroger against the backdrop of every other retailer. That's the weekly category and sales reporting surface. And they add 84.51° Stratum for the buyer-side strategic work, quarterly or campaign-driven, focused on who's buying and what else they buy. That's what feeds innovation, segmentation, and shopper marketing.

Run only a syndicator and you have no buyer attribution and no real-time read. Run only Stratum and you're Kroger-myopic, with no benchmark against the rest of the category.

For a brand growing into Kroger, the phasing usually goes like this. Early on, under $5M in Kroger, SPINS carries Kroger in the same report as every other retailer, Stratum isn't cost-justified yet, and the Kroger total read is your primary Kroger metric. In the growth stage, $5M to $15M, you add the SPINS banner-level add-on to pull King Soopers and Ralphs apart from the mainstream banners, and you start looking at Stratum access through a broker or agency for key campaigns. Once established, $15M-plus in Kroger, a direct Stratum vendor agreement pays for itself, SPINS or Circana stays on as the cross-retailer benchmark, and you may carry both syndicators if the brand spans natural and conventional channels.

Where the gaps are

Two gaps none of these three sources closes.

The first is cross-retailer buyer behavior. 84.51° Stratum tells you who's buying at Kroger, but it can't tell you whether that same household is also buying you at Whole Foods, Sprouts, or Costco. For that, you need a household panel like NielsenIQ Homescan or Numerator (see Syndicated vs. panel data). This matters whenever a brand is asking "is our Kroger buyer also buying us in the natural channel?" or "once we get authorized at Sprouts, do we cannibalize Kroger volume?" Panel data is the only clean answer to those.

The second is the gap between shelf execution and data-reported sales. None of these sources tells you whether your product was actually on the shelf when the shopper looked for it. Out-of-stocks at Kroger are real: a fast-moving SKU in a mid-size banner can sit OOS for days between replenishment cycles. Catching that needs shelf data, audits or image recognition, layered on top of the transaction data (see What is share of shelf?).

Doing this in Scout

Scout's main surface for Kroger is the SPINS extracts your team uploads weekly, the cross-retailer, cross-channel context for "how's Kroger doing relative to every other retailer we sell in." For 84.51° data, Scout takes customer-uploaded Stratum exports, including the Sherlock Matrix Export format, so brands paying for Stratum can layer the loyalty-attached insights onto the same dashboard as their syndicated reads. Direct API feeds with 84.51° aren't wired today, so the integration model is upload-driven. The point is one analytical surface for a Kroger read that holds both the syndicated category context and the loyalty-attached buyer behavior, instead of flipping between the Stratum portal and a SPINS spreadsheet.

Summary + further reading

• SPINS, Circana, and 84.51° Stratum each measure a different aspect of Kroger performance, and none substitutes for the others.
• SPINS fits cross-retailer comparison for a natural-plus-conventional brand. Circana fits conventional-only brands and any brand where Whole Foods matters. 84.51° Stratum fits buyer attribution, basket behavior, and post-promo analysis.
• Most Kroger-serious brands settle on a syndicator plus Stratum, scoped to different cadences and use cases. Around $10M-plus in Kroger revenue is the rough point where direct Stratum access pays for itself.
• Neither syndicated data nor Stratum covers cross-retailer buyer behavior or shelf execution. A household panel and shelf audit data fill those two gaps.

Related: Reading Kroger total-store performance in SPINS · SPINS vs. Circana vs. NielsenIQ