ACV Distribution (%ACV)

ACV distribution (often written %ACV) is a measure of how widely a product is distributed, weighted by the sales size of the stores that carry it. It's calculated as the percentage of total all-commodity volume (total retail sales of all products) accounted for by the stores that stock the product. So a product with 70% ACV distribution is sold in stores that together represent 70% of the market's total retail sales volume. Unlike numeric distribution (the simple percentage of stores carrying the product, where every store counts equally), %ACV weights each store by its sales volume — giving credit for being in big, high-volume stores and less for small ones.

ACV distribution is the standard, meaningful measure of distribution breadth in consumer-goods retail, because it reflects how much of the market's actual selling potential a product's distribution reaches. Being in stores representing 70% of ACV means the product is available where 70% of category buying potential is — a far more useful figure than being in '50% of stores' without knowing their sizes. %ACV is the metric brands track to understand and grow their true market coverage, identify distribution gaps (high-volume stores not carrying the product), and measure distribution gains and losses by their real sales weight.

The crucial distinction is between ACV distribution (sales-weighted) and numeric distribution (unweighted store count). Numeric distribution is the simple percentage of stores in a market that carry a product — every store counts as one, regardless of size. ACV distribution weights each carrying store by its all-commodity volume, so large stores count far more than small ones. The two can differ dramatically: a product in many small stores but few large ones has high numeric distribution but low %ACV; a product in a few large stores has low numeric distribution but high %ACV. Reading them together is revealing.

The gap between %ACV and numeric distribution tells a strategic story. When %ACV is much higher than numeric distribution, the product is concentrated in large, high-volume stores (good sales coverage from relatively few stores). When numeric is much higher than %ACV, the product is in many small stores but missing from the big ones (a major gap — the high-volume stores that drive most sales aren't carrying it). This comparison guides distribution strategy: a low %ACV relative to numeric distribution flags that the most important (largest) stores are missing, a high-priority gap to close. %ACV is the more meaningful measure of real coverage; numeric distribution adds context about how that coverage is distributed across store sizes.

Using %ACV well means treating it as the primary measure of distribution breadth — tracking the share of sales volume reached, prioritizing distribution gains by their ACV impact (a large high-ACV store can be worth many small ones), and reading it alongside numeric distribution to understand where coverage is strong or weak by store size. It means setting distribution goals and measuring progress in %ACV terms, identifying and targeting high-ACV gaps (big stores not carrying the product), and understanding that distribution growth means growing %ACV, not just store count. %ACV directs distribution effort toward the real sales opportunity.

The failures are using numeric distribution (store count) as the main measure and misjudging true coverage, ignoring the %ACV-vs-numeric gap that reveals where the important stores are missing, and pursuing store-count growth (many small stores) over %ACV growth (the high-volume stores that matter most). The discipline is %ACV-led distribution measurement and management — understanding and growing the share of sales volume reached, prioritizing high-ACV opportunities, and reading numeric distribution for context — recognizing that %ACV reflects the actual market coverage that drives sales, which store counting cannot.

ACV distribution (%ACV) — the sales-weighted share of stores carrying a product — is the standard measure of real market coverage in CPG, revealing what store-count distribution hides about reach.

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