CPG Terms Explained, a series by Cyril Ovely

Cyril Ovely, Co-Founder and CTO, Vxceed  ·  August 2026

What Is ACV (All Commodity Volume)? The Metric That Reveals Your True Distribution Reach

All Commodity Volume (ACV) is a measure of a retail store's total sales across all product categories, used as a weighting factor to determine how much market coverage a brand actually has based on where it's distributed.

The short answer

All Commodity Volume (ACV) sizes up retail stores by their total sales, not just in your category, but across everything they sell. A supermarket doing $40 million in annual sales gets a far higher ACV score than a corner shop doing $500K.

CPG companies use ACV to answer the question that really matters: "Of all the sales happening in this market, what percentage occurs in stores that carry my product?" It's the difference between counting how many stores carry your brand and measuring how much market your brand reaches.

Why it matters in CPG

Imagine you're the sales director of a snack brand. Your distributor reports: "Great news, we're in 800 stores!" Sounds impressive. But what if 750 of those stores are tiny independents that each move two bags of chips per week? Your numeric distribution looks great, but your actual market coverage is thin.

ACV fixes this by weighting each store by its total sales volume. When you calculate ACV distribution, a major supermarket chain counts for far more than a corner shop, because that's where the volume actually flows.

The decisions ACV informs:

• Launch planning: "Do we have enough ACV coverage to support a national campaign?"
• Sales targeting: "Which unserved stores would add the most ACV?"
• Competitive benchmarking: "Our brand has 65% ACV distribution; the competitor has 78%. Where are the gaps?"
• Trade investment: "Should we invest more in the top ACV stores or broaden our base?"

Without ACV, you're making distribution decisions based on store counts, and store counts lie.

How it works in practice

Scenario: You manage a beverage brand in a market with 5 retail chains:

Your brand is listed in MegaMart (all 50 stores), SuperSave (all 200), and QuickStop (300 of 500).

Numeric distribution: You're in 550 of 1,850 stores = 29.7%

ACV distribution: MegaMart (50%) + SuperSave (30%) + QuickStop portion (300/500 × 12.5% = 7.5%) = 87.5%

The story changes completely depending on which metric you use. Numeric says you're barely present. ACV says you cover most of the market. The truth, you're in the big stores but missing significant mid tier coverage, only emerges when you look at both.

Sales per $MM ACV is a derived metric that normalizes sales by distribution: if you generate $5M in sales against 87.5 ACV, your rate is ~$57K per ACV point. This lets you compare performance across markets with different distribution levels.

Key metrics & related concepts

• ACV Distribution %, the percentage of market sales volume in stores carrying your product
• Numeric Distribution (ND), the percentage of stores carrying your product (unweighted count)
• Total Distribution Points (TDP), ACV Distribution × Average Items Carried; combines reach and depth into one score
• Sales per $MM ACV, sales velocity normalized by distribution size
• Average Items Carried (AIC), how many of your SKUs the average stocking retailer carries

Common mistakes & misconceptions

Mistake #1: "High ACV distribution means we're done."
ACV distribution tells you where you are, not where you should be. A brand at 85% ACV might still have critical white space, perhaps the remaining 15% includes fast growing discounters or e-commerce platforms that skew the market.

Mistake #2: Confusing ACV with category sales.
ACV measures a store's total sales across all products, not just your category. A store can have high ACV but low category relevance. Always validate ACV against category specific measures like TDP.

Mistake #3: Using ACV alone.
ACV without numeric distribution hides the breadth picture. A brand in 10 MegaMart stores has high ACV but zero presence in the other 1,840 outlets. Use both metrics together.

Mistake #4: Assuming ACV is static.
Store closures, new openings, and retailer growth shift ACV weights every year. Re-baseline your ACV data annually, or quarterly in fast changing markets.

Regional variations

Global, ACV is used worldwide, but calculation methodologies differ:

• US: NielsenIQ and Circana (formerly IRI) calculate ACV from scanner data panels. Definitions are standardized. "All Commodity Volume" is the universal term.
• UK: Kantar and Nielsen use similar concepts but may reference "multiple grocery" vs. "symbol group" channels differently. The term "All Outlet Coverage" is sometimes used.
• India: ACV is less standardized due to the dominance of traditional trade (kirana stores). Estimates often rely on distributor data rather than scanner panels.
• NZ/AU: NielsenIQ and Circana (formerly Aztec) calculate ACV similarly to US methodology but with smaller, more concentrated retail markets. Coles and Woolworths account for roughly two thirds of grocery, so ACV distribution shifts dramatically with just a few chain level listing decisions.

How leading CPG teams use ACV

Modern commercial teams use ACV as the foundation for distribution scorecards, white space analysis, and sales territory design. Leading organizations integrate ACV data with field execution platforms to connect distribution metrics with on shelf availability, ensuring that being "in the store" actually translates to being "on the shelf."

Sources and further reading

• Circana: All Commodity Volume (ACV), Liquid Data CPG dictionary
• NielsenIQ: All Commodity Volume (ACV), CPG measurement