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ACV Versus Numeric Distribution: Which Metric Should Merchants Trust?

Updated October 15, 2026
Published October 14, 2026
William Carlin

All Commodity Volume (ACV)

Definition

A measure of a retail store's total sales volume across merchandise categories, used to weight distribution metrics.

Overview

All Commodity Volume (ACV) is a measure of a retail store's total sales volume across merchandise categories, used to weight distribution metrics. It answers the question of how much of the market’s purchasing power has access to your product, whereas numeric distribution answers how many outlets physically carry it.


Both ACV and numeric distribution (also called numeric or 'door' distribution) are standard distribution KPIs in retail; they answer different operational questions. Understanding their differences helps merchants decide when to chase raw shelf counts and when to target high-impact locations for faster return on merchandising and inventory spend.


Definition And Calculation Differences


Numeric distribution is simply the percentage of stores in a universe that carry a SKU (doors carrying SKU / total doors). ACV weights those doors by their sales volume. To calculate %ACV you sum sales for stores that stock the SKU and divide by total universe sales; numeric distribution uses store counts, not sales.


What Each Metric Shows


  • Numeric Distribution: Shows breadth of physical availability and is useful for understanding geographic reach and shelf penetration.
  • ACV: Shows weighted market access; useful for understanding economic reach and potential sales impact.


When Numeric Distribution Is More Useful


Choose numeric distribution when the objective is to increase physical availability quickly or when channel coverage is paramount. Examples include launching a SKU that requires local presence (e.g., regional flavors), meeting contractual slotting agreements, or evaluating national vs regional stocking commitments by store count.


When ACV Is More Useful


Choose ACV when you want to prioritize stores that drive the most category sales — for promotional targeting, national listing decisions, or when merchandising investment is limited and should go where it moves volume. ACV is also preferred for weighting distribution metrics in trade and category reviews.


How They Affect Decision-Making


Relying solely on numeric distribution can misallocate resources. For instance, a brand may be in 70% of doors (high numeric) but only reach 35% ACV if represented mostly in low-volume outlets; promotional spend in those stores yields limited lift. Conversely, focusing only on ACV can leave white-space coverage gaps in underserved communities if high-volume stores dominate coverage.


Combining Metrics For Practical Strategy


  • Balanced Targets: Set both numeric and %ACV goals — e.g., 60% numeric and 50% ACV — to ensure both presence and weighted market access.
  • Tiered Execution: Use ACV to identify top-priority stores for merchandising and promotional investment; use numeric distribution to guide expansion into new outlets.
  • Channel-Specific Reporting: Break both metrics down by channel and format (supermarket vs convenience) to refine supply and planogram decisions.


Practical Example


SKU A is in 1,000 of 2,000 total stores — numeric distribution = 50%. Those 1,000 stores represent $400M of $1B category sales — %ACV = 40%. SKU B is in 500 high-volume stores representing $600M of sales — numeric distribution = 25% but %ACV = 60%. SKU B reaches more buying power despite fewer doors; a supplier would prioritize promotional support in SKU B’s locations to maximize sales lift.


In short, the All Commodity Volume (ACV) metric complements numeric distribution by showing where distribution has real commercial impact. Use numeric distribution to measure physical reach and ACV to prioritize where that reach will produce the largest returns.

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