SPINS for Beverage: the alcohol / non-alcohol split

Why this matters

A craft beverage company runs two product lines. One is a flagship sparkling adaptogen drink, fully non-alcoholic. The other is a recently launched low-ABV craft hop-water hybrid that lands in the alcohol section at some retailers and not others. Quarterly review comes around, the analyst pulls SPINS for both, and the sparkling adaptogen looks clean: Sprouts, Natural Grocers, Whole Foods through the Circana layer the brand also licenses, Target. Solid coverage.

The low-ABV hybrid? The SPINS report comes back mostly empty.

Beverage is the most channel-fragmented category in syndicated CPG data, and that fragmentation is no accident. It traces straight back to the regulatory environment around alcohol distribution in the US, which has spun up entirely separate data infrastructures for the two halves of "beverage." Anyone working at a beverage brand needs to know which side of that line each product sits on, and which tool covers which side. Getting the SPINS Beverage alcohol non-alcohol distinction right is the whole game.

Where SPINS is strong in beverage: alcohol and non-alcohol

SPINS' beverage coverage is sharpest in non-alcoholic beverage inside the natural and specialty channel, plus the non-alcoholic shelf in MULO+ conventional grocery through the Circana licensing.

A few segments where it genuinely excels. Functional and wellness beverages: kombucha, adaptogen drinks, mushroom-based beverages, prebiotic sodas, electrolyte drinks, performance recovery drinks. The SPINS attribute layer, organic, plant-based, probiotic, low-sugar, functional claim codes, was built for exactly these. Plant-based dairy alternatives too, the oat milks, almond milks, pistachio milks, coconut beverages, and plant-based creamers, all heavily concentrated in the natural channel with strong SPINS attribute coverage. Premium sparkling water and flavored seltzers, non-alcoholic and often launched natural-channel-first before they expand into MULO. RTD tea, RTD coffee, and cold-press juice, where the health-positioned variants concentrate in the natural channel and then graduate to MULO+. And sports nutrition drinks and electrolyte mixes, with strong natural-channel coverage and conventional-channel coverage through MULO+.

For a non-alcoholic beverage brand graduating from the natural channel into conventional grocery, SPINS' natural plus MULO+ coverage is the right primary source.

Where SPINS gets thin or absent in beverage

Three areas where SPINS runs thin or goes dark.

1. Alcohol (broad category)

SPINS' alcohol coverage is limited next to its non-alcoholic strength. Wine, beer, and spirits have always been the territory of different syndicators. Circana's alcohol-specific product line, and NielsenIQ's Beverage Information Group offerings that came in through NIQ's beverage analytics acquisitions in recent years, deliver the deeper alcohol coverage SPINS can't match.

If a brand's business is mostly alcoholic, SPINS is rarely the right primary tool. Two exceptions are worth naming. Brands with real natural-channel-positioned alcohol, organic wine, biodynamic spirits, natural craft beer, where SPINS' natural-channel scan data picks up genuine volume. And hybrid brands where the non-alcoholic line is the bigger half, so SPINS coverage of that half matters more than the smaller alcoholic line does.

For pure alcoholic-beverage analysis, the right tools are the dedicated alcohol syndicators or panel data, Circana alcohol, NIQ Beverage, or IWSR for high-level market data.

2. Low-ABV hybrids and "in-between" categories

Hard kombucha, hard seltzer, alcohol-adjacent functional drinks, the products that ride the line. Here the retailer's classification decides the shelf, and the shelf decides whether SPINS sees the product cleanly. A hard kombucha that's in the alcohol section at one retailer and the refrigerated functional-beverage section at the next shows up inconsistently across the data.

For these in-between products, brand-side analysts usually have to track which retailer shelves the product in which section, then reconcile the data flows retailer by retailer. There's no clean "hard kombucha syndicated read." It's a hybrid analysis stitched together from several pulls.

3. On-premise / draft / direct beverage

Restaurants, bars, taprooms, brewery-direct sales, draft beer at restaurants, all of it is on-premise. None of the major retail syndicators, SPINS, Circana, or NIQ, cover on-premise at all. For a beverage brand with serious on-premise volume, that read comes either from internal data, the brand's own distribution numbers, or from on-premise-specialized panels and surveys like Nielsen CGA or IRI's on-premise products.

The split table: which beverage segments fit where

Worked example: a hybrid beverage brand's quarterly read

A craft beverage company with two product lines:

• Adaptogen sparkling drink (non-alcoholic): 4 SKUs, distributed through Sprouts, Natural Grocers, Whole Foods, Target, and a growing list of regional naturals.
• Hard hop-water (5% ABV, hybrid positioning): 3 SKUs, in the alcohol section at most retailers but in the functional-beverage cooler at a few natural retailers.

Q1 2026 report by source:

Read those together and the picture is clear. The adaptogen line is well covered: SPINS plus Circana for WFM gives a full natural and conventional grocery read. The hard hop-water line reads mostly through Circana alcohol, with SPINS catching a thin natural-channel slice, about 7% of the line, where the product lands in the functional-beverage cooler. The brand's total syndicated retail is $1.87M. Drop Circana alcohol coverage and the brand sees only $1.43M, 76% of reality, and the hard hop-water line looks like a small natural-channel curiosity instead of the real conventional-channel business it actually is.

For a brand like this, the dual-syndicator plus alcohol-data triple-pull is permanent. Each tool covers what the others miss, and only together do they show the whole thing.

Reconciling hybrid products across the alcohol / non-alc split

The hardest analytical case in beverage syndicated data is the product that rides the line between alcoholic and non-alcoholic categorization, where one retailer's shelving decision determines which data stream sees it.

Three examples make it concrete. Hard kombucha varies retailer to retailer: some put it in the alcohol cooler, where Circana alcohol picks it up, others in the refrigerated functional-beverage section, where it gets an occasional SPINS read and is otherwise invisible to syndicators. Low-ABV craft hop-water hybrids usually land in the alcohol section, picked up by Circana alcohol, though specialty natural retailers sometimes shelve them with adult-beverage adjacencies in a functional cooler. And non-alcoholic adult beverages, NA beer, NA wine, mocktails, zero-proof spirits, are the inverse case: categorized as non-alcoholic for syndicated purposes and read by SPINS Natural and MULO+, but competitive with alcoholic beverages and often shelved right next to them. That category is growing fast enough, roughly 25 to 30% YoY for several segments, that any brand reporting NA-beverage performance needs to be explicit about where the data actually flows.

The reconciliation workflow for any hybrid product runs four steps. First, identify the retailer-specific shelving for each major retailer; this isn't always public, so the brand sometimes has to ask its sales team or distributor where the product sits at each account. Second, pull the syndicator that matches that retailer's shelving. A product shelved in alcohol at Sprouts but in the functional cooler at Whole Foods will read from Circana alcohol for Sprouts and stay invisible to every syndicator for Whole Foods, since WFM isn't in SPINS and WFM's functional cooler usually isn't separable in Circana's grocery cut. Third, sum carefully and label the source per retailer; a total-brand read of a hybrid product line should always carry a per-retailer data-source footnote. Fourth, call out the gaps. Where no syndicator covers the product at a given retailer, internal data or panel projections fill in, and pretending the gap isn't there just bakes in under-reporting.

This is messy work, and the mess is structural, not something you can fix. Hybrid beverage products will keep spanning data streams for as long as the regulatory and retailer-shelving environment keeps producing hybrid categorization decisions.

Anti-patterns

• Treating SPINS as the source of truth for a beverage brand with any alcohol exposure. SPINS is the wrong tool for the alcohol half. Reading the non-alcohol line off it is fine, but treating the alcohol gap as a "we'll fix it later" item leaves the larger half of many beverage brands' businesses in the dark.
• Reporting "beverage performance" without splitting alcoholic from non-alcoholic. Different data sources, different competitive sets, different shopper bases, different regulatory contexts. They don't add up to a single meaningful number.
• Treating hard kombucha as a non-alcoholic brand because the packaging looks similar. As far as syndicated data is concerned, it's alcoholic and shows up in the alcohol surveys, or in retailer-specific shelving where the data flow goes hybrid. Pretending it's a SPINS-readable product just bakes in under-reporting.
• Ignoring the on-premise channel for hospitality-heavy beverage brands. A craft brewery's draft and taproom business can equal or exceed its retail business, so reporting retail syndicated numbers as "brand performance" understates the real business.
• Comparing SPINS' beverage category attribution to Circana's beverage category structure head to head. They run different attribute taxonomies. SPINS' functional-beverage segment is not the same SKU set as Circana's functional-beverage segment, so any cross-source category comparison needs definition reconciliation first.

Doing this in Scout

Scout's beverage support takes SPINS extracts (natural plus MULO+) and Circana extracts, where the brand is dual-sourced for WFM and conventional grocery. For brands with alcohol product lines, Scout also takes uploaded Circana alcohol or NIQ Beverage data as adjacent cuts, and the dashboard surfaces the alcoholic / non-alcoholic split explicitly with separate channel mix views. The point is to put the splitting decision, what's alcoholic, what's not, what's hybrid, right on the dashboard instead of leaving it buried in the data flow. Direct API feeds aren't wired today, so integration is upload-driven across every source.

Summary + further reading

• SPINS is the right primary tool for non-alcoholic beverage in natural and specialty channels, plus conventional grocery via MULO+. Functional, wellness, plant-based, and clean-label beverages are where its attribute layer is strongest.
• Alcohol coverage in SPINS is limited. For pure alcoholic-beverage brands, Circana alcohol or NIQ Beverage is the right primary source, and hybrid low-ABV products need retailer-by-retailer reconciliation.
• Split every brand report into alcoholic and non-alcoholic segments with explicit data-source labels. The two halves don't combine into a single meaningful number without per-segment source attribution.

Related: What is SPINS data? · SPINS vs. Circana vs. NielsenIQ · What is MULO, and what SPINS' MULO+ adds