CPG Terms Explained, a series by Cyril Ovely
ACV Distribution % measures the percentage of total market sales volume that occurs in stores carrying your product, weighted by each store's total sales across all categories.
ACV Distribution % answers a specific question: of all the sales happening in this market, what percentage occurs in stores that carry my product? It takes the concept of All Commodity Volume (ACV) and turns it into a distribution metric.
Unlike numeric distribution, which simply counts stores, ACV Distribution % weights each store by its total sales volume. A store doing $50 million in annual sales counts for far more than one doing $500K. The result is a measure that reflects where the real market activity happens.
Here's the problem ACV Distribution % solves. Imagine two brands with identical numeric distribution:
| Brand | Stores Listed In | Store Type | Numeric Distribution | ACV Distribution % |
|---|---|---|---|---|
| Brand A | 500 | Mostly small independents | 70% | 35% |
| Brand B | 500 | Mostly large supermarket chains | 70% | 82% |
Same number of stores. Same numeric distribution. Completely different market coverage. Brand B is present where 82 percent of the market's sales happen. Brand A is present where only 35 percent happens.
This is why ACV Distribution % is the metric that commercial directors actually use for decision making. It tells you whether your distribution is reaching the outlets that matter.
The decisions ACV Distribution % informs:
Scenario: A dairy brand tracks its ACV Distribution % over four quarters:
| Quarter | Numeric Distribution | ACV Distribution % | What Happened |
|---|---|---|---|
| Q1 | 55% | 72% | Baseline. Strong in major chains. |
| Q2 | 62% | 74% | Added 80 small stores. Numeric up, ACV barely moved. |
| Q3 | 63% | 81% | Listed in 2 new regional chains. Big ACV jump. |
| Q4 | 65% | 83% | Continued growth in mid tier retailers. |
What the numbers reveal:
In Q2, the team celebrated adding 80 stores (numeric went from 55% to 62%). But ACV barely budged (72% to 74%) because those stores were small outlets with low sales volume. The effort was real, but the market impact was minimal.
In Q3, adding just two regional chains moved ACV from 74% to 81%. Those two chains accounted for 7 percent of total market sales. This is the power of ACV weighted thinking: a few large accounts can matter more than hundreds of small ones.
ACV Distribution % = (Sum of ACV weights of stores carrying your product / Total market ACV) x 100
Example: If stores carrying your brand have a combined ACV weight of 7,500 and the total market ACV is 10,000, your ACV Distribution % = 75%.
Mistake #1: Reporting ACV Distribution % without numeric distribution.
ACV Distribution % tells you the quality of your coverage. Numeric distribution tells you the breadth. You need both. A brand at 90% ACV but 25% numeric is concentrated in a few large chains. A brand at 40% ACV but 80% numeric is spread thin across small stores. Neither picture is complete alone.
Mistake #2: Treating ACV Distribution % as a static target.
The market changes. New stores open. Existing stores grow or shrink. A competitor exits. Your ACV Distribution % shifts even if you do nothing. Rebaseline at least quarterly.
Mistake #3: Confusing ACV Distribution % with category distribution.
ACV weights stores by their total sales across all products, not just your category. A store can have high ACV but low relevance to your specific category. For category specific distribution, look at category weighted measures or TDP.
Mistake #4: Using ACV Distribution % to measure execution quality.
ACV Distribution % tells you that stores are listing your product. It doesn't tell you whether those stores are actually ordering, whether the product is on shelf, or whether it's priced correctly. For execution quality, you need activation rate, on shelf availability, and compliance metrics.
Global: ACV Distribution % is used wherever syndicated retail data exists, but data quality varies:
Leading commercial teams track ACV Distribution % weekly or monthly, decomposed by channel, territory, and distributor. They set separate targets for ACV growth (getting into bigger stores) and numeric growth (getting into more stores), and assign accountability to different teams. They combine ACV Distribution % with activation rate data to distinguish between stores that list the product and stores that actually sell it.
Lighthouse connects distribution, execution, trade, and supply into one system your commercial teams act on at the store and SKU level.
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