% ACV Distribution Explained

% ACV distribution is the share of a market's all-commodity volume (the total dollar sales of every store, across every category) that is rung up by the stores carrying your product. It is the standard way syndicated data (SPINS, Circana, NielsenIQ) answers a deceptively simple question: how much of the market can actually buy what you sell? This guide explains what % ACV distribution means, where the ACV in the name comes from, how it differs from numeric and weighted distribution, why analysts treat it as one of the two most important numbers on the page, and how to read it without drawing the wrong conclusion. For the wider context on where this number comes from, see what syndicated data is.

Stores are not interchangeable. A product stocked in 50 stores that together do 60% of a market's sales is in a completely different position from the same product in 50 stores that do 8%. Count the doors and the two look identical; % ACV distribution refuses to let you make that mistake. It weights every store by how much it sells, so a single large Kroger superstore can count for more than a dozen rural independents.

What % ACV distribution means

The calculation is a ratio of dollars, not stores. % ACV distribution = (all-commodity dollars rung up by the stores that stock your product) ÷ (all-commodity dollars rung up by every store in the market) × 100. The phrase 'all-commodity' is load-bearing: the numerator and denominator both use each store's entire sales across every category it carries, not its sales in your category. A store's importance comes down to its total size.

Two versions of the number show up on reports, and they answer slightly different questions. Total (or maximum) % ACV distribution is point-in-time: the % ACV of every store that carried the item at any point in the period (your theoretical reach). Average weekly % ACV distribution averages the figure across the weeks in the period, so a door that stocked the item for only half the period, or went out of stock, pulls the number down. When distribution is ramping or supply is shaky, average weekly % ACV sits below the total, and the gap between the two is itself a useful signal of how steady your shelf presence really is.

ACV stands for All-Commodity Volume

ACV is short for All-Commodity Volume, and on its own it is a measure of store size, not of your brand at all. A store's ACV is its total annual dollar sales across everything it rings up: groceries, household goods, the lottery counter, all of it. A large-format supermarket might carry an ACV of $40 million a year; a small natural-foods store might be $3 million. When you express distribution on an % ACV basis, you are weighting each carrying store by that total size. For the full definition and a store-size walk-through, see What is ACV?.

The most common misread is to assume ACV means your category's volume. It does not. The category-weighted cousin is called % PCV, for Product Category Volume, which weights stores by their sales in your category only. % PCV is the sharper lens when a product lives in one narrow aisle, but % ACV is the industry default because it is comparable across categories and is what syndicated reports lead with. Confuse the two and a niche brand can look far smaller, or far larger, than it really is.

% ACV vs. numeric and weighted distribution

Three distribution numbers get used almost interchangeably in conversation and mean different things on paper.

• Numeric distribution (also called % stores selling) is the unweighted store count: the share of stores carrying the item, with every store counting equally. It tells you breadth and nothing about quality.
• Weighted distribution is the umbrella term for any distribution figure weighted by store sales. In CPG syndicated data, 'weighted distribution' and '% ACV distribution' are used to mean the same thing: stores weighted by all-commodity volume.
• % PCV is category-weighted distribution, weighting stores by their sales in your category. Think of it as a refinement of % ACV for single-category brands.

The space between numeric and % ACV distribution is usually where the story lives. Numeric of 90% with % ACV of 40% says you are spread across many small stores and missing the big ones. The reverse, 30% numeric and 70% ACV, says you have landed the handful of large accounts that move most of the volume. Same brand, opposite expansion strategies, and you only see which one you're in by reading the two numbers together.

Why % ACV distribution is the second most important measure

Of every metric on a syndicated report, two carry most of the weight. Velocity is how fast the product sells where it is stocked; % ACV distribution is how much of the market can buy it. Dollar sales is, to a first approximation, those two multiplied. That makes % ACV distribution the second most important number on the report, after velocity: it is half of the only equation that matters, and unlike velocity it is the half you can move directly, by getting into more stores, and more important ones.

% ACV distribution is also the building block of Total Distribution Points. TDP is the sum of each individual item's % ACV across the line, so a brand with five SKUs each at 50% ACV carries 250 TDP. If a brand's dollars are flat while its TDP keeps climbing, the average item is selling more slowly and distribution is masking a velocity problem. See Total Distribution Points (TDP) and decomposing TDP for how to take that apart, and the velocity, share, and TDP decision tree for which lever to pull next.

How to read a % ACV distribution number

An % ACV number is meaningless without two labels: the channel it was measured in and the period it covers. '% ACV is 45%' is indefensible in a category review. '45% ACV in the SPINS Natural Channel, latest 12 weeks ending the report date' is a number you can stand behind. The denominator changes completely between Natural Channel, MULO, and Total US, so the same brand reads very differently in each. A natural brand at 60% ACV in the Natural Channel might be 10% in MULO simply because the MULO denominator is enormous and full of conventional stores it has not entered yet.

What counts as a good % ACV depends on where the brand sits in its distribution lifecycle. As rough orientation, not targets to chase:

Two habits keep the read honest. First, treat the high end as a ceiling, not a target: above roughly 80% ACV the cheap distribution gains are gone, and growth has to come from velocity instead. Second, never sum or average % ACV across separate retailer pulls, because each one sits on its own denominator and adding them can produce a meaningless figure above 100%. To combine retailers correctly you work from the underlying dollars; ACV-weighted distribution across retailers walks through the right way to do it. It's also worth comparing your number to the category leader in the same channel cut, because 30% ACV can be category-leading in one aisle and mid-pack in another.

A worked example

Take a small, four-store market to see the arithmetic, then the decomposition that makes the number useful.

The carrying stores ring up $40M + $22M + $3M = $65M of the market's $75M in all-commodity volume. % ACV distribution = $65M ÷ $75M × 100 = 87%. Notice you are in three of four stores (75% numeric distribution) but 87% on an % ACV basis, because the one store you are missing is the small drug outlet. The weighting rewards you for being where the volume is, not just for being in a lot of places.

Now put it to work. Say dollars grew 12% year over year while % ACV distribution went from 78% to 87%. Most of the growth came from new doors, not from selling faster, so the next question is whether those new doors are pulling their weight on velocity or just propping up the distribution line. If % ACV had been flat and dollars still grew 12%, the story would be the opposite: same shelf, faster sales, which is the healthier kind of growth. Pulling those two apart is the entire point of tracking the metric.

Mistakes that distort an % ACV read

• Reporting it without a channel or a date. The denominator and the panel both move week to week, so an unlabeled % ACV can't be reproduced next quarter.
• Adding % ACV across retailer cuts. Each cut has its own denominator, and summing them is exactly how you end up with an impossible 120%. Combine from the underlying dollars instead.
• Reading % ACV as market share or as velocity. It is neither. It tells you how much of the market can buy the product, not how much actually does, and not how fast it moves.
• Comparing % ACV across channels as if the denominators matched. 35% Natural and 12% MULO does not mean a brand is 'better at natural'; they are two different store universes measured against two different bases.

Reading % ACV distribution in Scout

Scout reads % ACV straight from your SPINS, Circana, or NielsenIQ extracts at whatever channel cut your team pulled, and shows it next to velocity and TDP on the same row, so the distribution-versus-velocity decomposition above is a single view rather than a stack of pivot tables. For ad-hoc multi-retailer combinations, it works from the underlying all-commodity dollars so the combined number stays defensible. The broader payoff is getting off the one-analyst spreadsheet that usually owns these numbers (see why spreadsheets don't scale) and onto harmonized syndicated data the whole team reads the same way, then turning the read into action by finding and closing distribution gaps.

% ACV distribution rewards precision: a named channel, a dated period, and a clear head about what it does and does not say. Get those right and it becomes the cleanest read you have on how much of the market is actually within reach. If you want to see your own % ACV, velocity, and TDP on one screen instead of three spreadsheets, reach out at hello@cpgscout.ai.