SPINS for Beverage: the alcohol / non-alcohol split

Why this matters

A craft beverage company makes two product lines: a flagship sparkling adaptogen drink (non-alcoholic) and a recently launched low-ABV craft hop-water hybrid that lands in the alcohol section depending on the retailer. Quarterly review: the analyst pulls SPINS for both lines. The sparkling adaptogen looks clean — Sprouts, Natural Grocers, Whole Foods (via the Circana layer the brand also pulls), Target Pet, Sprouts again. Solid coverage.

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

Beverage is the single most channel-fragmented category in syndicated CPG data, and the fragmentation isn't an accident — it's the result of the regulatory environment around alcohol distribution in the US, which has produced separate data infrastructures for the two halves of "beverage." A working analyst at a beverage brand needs to know which side of the line their product sits on and which data tool covers each side.

Where SPINS is strong in beverage

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

Specifically, where SPINS 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) is built for exactly these segments.
• Plant-based dairy alternatives — oat milks, almond milks, pistachio milks, coconut beverages, plant-based creamers. Heavy natural-channel concentration and strong SPINS attribute coverage.
• Premium sparkling water and flavored seltzers — non-alcoholic, often natural-channel-led brand launches before MULO expansion.
• RTD tea, RTD coffee, cold-press juice — health-positioned variants concentrate in natural channel, then graduate to MULO+.
• Sports nutrition drinks and electrolyte mixes — natural- channel coverage strong; conventional-channel coverage via MULO+.

For non-alcoholic beverage brands graduating from natural channel into conventional grocery, SPINS' natural + MULO+ coverage is the correct primary data source.

Where SPINS gets thin or absent in beverage

Three areas:

1. Alcohol (broad category)

SPINS' coverage of alcohol is limited compared to its non-alcoholic strength. Wine, beer, and spirits are the historical specialty of different syndicators — Circana's alcohol-specific product line and NielsenIQ's Beverage Information Group offerings (via NIQ's beverage analytics acquisitions in recent years) provide the deeper alcohol coverage that SPINS doesn't match.

For a brand whose business is primarily alcoholic, SPINS is rarely the right primary tool. The exceptions:

• Brands with significant natural-channel-positioned alcohol (organic wine, biodynamic spirits, natural craft beer) where SPINS' natural-channel scan data picks up real volume.
• Hybrid brands where the non-alcoholic line is the larger half and SPINS coverage of that half matters more than the smaller alcoholic line.

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

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

Hard kombucha, hard seltzer, alcohol-adjacent functional drinks — products that ride the line. The retailer classification determines the shelf, and the shelf determines whether SPINS sees the product cleanly. A hard kombucha shelved in the alcohol section at one retailer and in the refrigerated functional-beverage section at another shows up inconsistently across the data.

For these in-between products, brand-side analysts often need to explicitly track which retailer shelves the product in which section and reconcile the data flows separately for each retailer. There's no clean "hard kombucha syndicated read" — it's a hybrid analysis built from multiple pulls.

3. On-premise / draft / direct beverage

Restaurants, bars, taprooms, brewery-direct sales, draft beer at restaurants — all on-premise channels. None of the major retail syndicators (SPINS, Circana, NIQ) cover on-premise. For beverage brands with significant on-premise volume, the on-premise read is either internal (the brand's own distribution data) or via the on-premise-specialized panels and surveys (e.g., Nielsen CGA for on-premise, 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:

Reading these together:

• The adaptogen line is well-covered: SPINS + Circana for WFM = full natural and conventional grocery read.
• The hard hop-water line is dominantly read through Circana alcohol — SPINS catches a small natural-channel slice (~7% of the line) where the product lands in the functional-beverage cooler.
• The brand's total syndicated retail is $1.87M; without Circana alcohol coverage, the brand would see only $1.43M (76% of reality), and the hard hop-water line would appear to be a small natural-channel curiosity rather than the meaningful conventional- channel business it actually is.

For this brand, the dual-syndicator + alcohol-data triple-pull is permanent. Each tool covers what the others miss; combining them gives the full picture.

Reconciling hybrid products across the alcohol / non-alc split

The single hardest analytical case in beverage syndicated data: products that ride the line between alcoholic and non-alcoholic categorization, where the retailer shelving decision drives which data stream sees the product.

Concrete examples:

• Hard kombucha — varies by retailer; some shelve in alcohol cooler (Circana alcohol picks it up), some in the refrigerated functional-beverage section (occasional SPINS read, mostly invisible to syndicators).
• Low-ABV craft hop-water hybrids — typically alcohol-section shelved (Circana alcohol), but specialty natural retailers sometimes place them with adult-beverage adjacencies in a functional cooler.
• Non-alcoholic adult beverages (NA beer, NA wine, mocktails, zero-proof spirits) — the inverse case. Categorized as non- alcoholic for syndicated purposes and read by SPINS Natural and MULO+ — but conceptually competitive with alcoholic beverages and often shelved adjacent to them. The category is growing fast enough (~25–30% YoY for several segments) that brands reporting NA-beverage performance need to be explicit about where the data flows.

The reconciliation workflow for any hybrid product:

1. Identify the retailer-specific shelving for each major retailer. This isn't always public — sometimes the brand has to query its sales team or distributor for where the product is placed at each retailer.
2. Pull the syndicator that matches the shelving for that retailer. A product shelved in alcohol at Sprouts but in the functional cooler at Whole Foods will read from Circana alcohol for Sprouts but be invisible to all syndicators for Whole Foods (since WFM isn't in SPINS and WFM's functional cooler isn't typically separable in Circana's grocery cut).
3. Sum carefully — and label the source per retailer. A total-brand read of a hybrid product line should always have a per-retailer data-source footnote.
4. Note the gaps explicitly. Where no syndicator covers the product at a given retailer, internal data or panel projections fill the gap. Pretending the gap doesn't exist produces consistent under-reporting.

This is messy work, and the messiness is structural rather than fixable. Hybrid beverage products will continue to span data streams for as long as the regulatory and retailer-shelving environment produces hybrid categorization decisions.

Anti-patterns

• Reading SPINS alone 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 cleanly is right, treating the alcohol gap as "we'll fix it later" leaves the larger half of many beverage brands' businesses in the dark.
• Reporting "beverage performance" without splitting alcoholic and non-alcoholic. Different data sources, different competitive sets, different shopper bases, different regulatory contexts. They don't combine into a single meaningful number.
• Treating hard kombucha as a non-alcoholic brand because of packaging similarity. From a syndicated-data perspective it's alcoholic and shows up in the alcohol surveys (or in retailer- specific shelving where the data flow is hybrid). Pretending it's a SPINS-readable product produces consistent under-reporting.
• Ignoring the on-premise channel for hospitality-heavy beverage brands. A craft brewery's draft and taproom business may equal or exceed its retail business. Reporting retail syndicated numbers as "brand performance" understates the actual business.
• Comparing SPINS' beverage category attribution to Circana's beverage category structure directly. They use different attribute taxonomies. The functional-beverage segment as defined in SPINS is not the same SKU set as the functional-beverage segment as defined in Circana. Cross-source category comparisons need definition reconciliation.

Doing this in Scout

Scout's beverage support takes SPINS extracts (natural + MULO+) and Circana extracts (where the brand is dual-sourced for WFM and conventional grocery). For brands with alcohol product lines, Scout supports uploading Circana alcohol or NIQ Beverage data as adjacent cuts — the dashboard surfaces the alcoholic / non-alcoholic split explicitly with separate channel mix views. The intent is to make the splitting decision — what's alcoholic, what's not, what's hybrid — visible in the dashboard rather than hidden in the data flow. Direct API feeds aren't wired today; integration is upload-driven across all sources.

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 SPINS' 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. Hybrid low-ABV products require retailer-by-retailer reconciliation.
• Always split brand reports 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