TL;DR
Numeric distribution measures the percentage of eligible stores carrying a product. Weighted distribution measures the sales importance of the stores carrying it, using a stated weighting basis. The same brand can be present in 60% of stores while reaching 75% of category sales, or in 60% of stores while reaching only 35%. The difference changes the distribution priority: more stores are not necessarily more valuable stores. FMCG teams should define the outlet universe, time window, presence rule and weight before drawing conclusions, then review sales velocity and product availability alongside reach.
What Is Numeric Distribution in FMCG?
Numeric distribution is the share of eligible retail outlets in which a product or brand is carried, according to an explicit measurement rule. It answers a simple question: in how many relevant stores is the product present?
Numeric Distribution (%) = Number of carrying outlets ÷ Number of eligible outlets × 100
If a product is carried in 300 of 500 eligible stores, numeric distribution is 60%. The denominator must refer to the channel, geography, category and period under review. An independent grocer that is outside the defined universe should not silently enter the calculation, and the presence rule must be consistent across brands.
What Is Weighted Distribution?
Weighted distribution measures the commercial importance of outlets carrying the product rather than simply counting them. Each outlet contributes according to a specified sales weight. A category-weighted measure uses the category sales of carrying outlets; ACV-weighted distribution uses each outlet’s all-commodity sales. These measures are related but not interchangeable.
Category-Weighted Distribution (%) = Category sales in carrying outlets ÷ Category sales in all eligible outlets × 100
A product might be present in only a few stores but those stores may account for much of the category’s sales. Conversely, a product with many listings may be absent from outlets that matter most to category turnover. The metric tells you which portion of the defined category opportunity is reached, not how many units the product itself sells.
Numeric vs Weighted Distribution: What Is the Difference?
Numeric distribution treats each eligible store equally. Weighted distribution treats outlets differently according to the selected sales basis. Neither number is more correct; each answers a different planning question.
- Numeric distribution: How many stores carry the product?
- Category-weighted distribution: How much category sales opportunity is represented by those carrying stores?
- ACV-weighted distribution: How much all-commodity retail sales volume is represented by those carrying stores?
- Sales velocity: How strongly does the product actually sell within the outlets in which it is present?
The last measure is not another type of distribution. It is needed to determine whether additional reach is likely to produce productive sales.
Worked Example: Same Store Count, Different Weighted Reach
Consider five eligible stores in one hypothetical FMCG category, geography and period. Brand A is carried by Stores 1, 3 and 5. Brand B is carried by Stores 1, 2 and 4. These figures are educational examples, not actual market observations or TrendBox client results.
|
Eligible store |
Category sales |
Brand A carried? |
Brand B carried? |
|---|---|---|---|
|
Store 1 |
TRY 10,000 |
Yes |
Yes |
|
Store 2 |
TRY 20,000 |
No |
Yes |
|
Store 3 |
TRY 40,000 |
Yes |
No |
|
Store 4 |
TRY 5,000 |
No |
Yes |
|
Store 5 |
TRY 25,000 |
Yes |
No |
|
Total |
TRY 100,000 |
3 of 5 stores |
3 of 5 stores |
Category sales across all five stores total TRY 100,000. Both brands are carried by three of five stores, so each has 60% numeric distribution. For Brand A, the carrying stores account for TRY 75,000 of category sales, giving 75% category-weighted distribution. Brand B’s carrying stores account for TRY 35,000, giving 35% category-weighted distribution.
Brand A numeric: 3 ÷ 5 × 100 = 60%. Brand A category-weighted: (10,000 + 40,000 + 25,000) ÷ 100,000 × 100 = 75%.
Brand B numeric: 3 ÷ 5 × 100 = 60%. Brand B category-weighted: (10,000 + 20,000 + 5,000) ÷ 100,000 × 100 = 35%.
The products have exactly the same store count, but Brand A reaches a much larger share of the category sales opportunity in this universe. This does not prove Brand A has higher sales velocity or market share; those outcomes require separate measurements.
How Does ACV Differ From Category-Weighted Distribution?
ACV is based on an outlet’s all-commodity sales, not on sales within the specific product category. A high-ACV store may be commercially large overall without being especially important for the category being assessed. Category-weighted distribution focuses on that category’s turnover in the relevant stores.
Some reporting systems describe category sales weighting as PCV, or Product Category Volume, but definitions can vary by provider. The reporting label should explicitly state its weighting basis rather than assume every measure called “weighted distribution” means the same thing.
For an FMCG brand prioritizing category access, category weighting may be more closely aligned with its opportunity; ACV can still help compare general outlet importance. A meaningful decision starts by asking what kind of retail opportunity the business wants to reach.
How Should Carrying or Selling Distribution Be Defined?
An outlet can list a product, have it physically available on a shelf, or record a transaction for it. These are not the same observation. A store with no transaction in a short reporting window may have an available product that shoppers did not purchase; a recorded sale does not prove continuous shelf availability throughout the period.
When numeric or weighted distribution is derived from POS sales, report whether the measure is selling distribution. When the measure is based on field audits or inventory records, identify the presence or availability definition. Do not compare metrics with different presence rules as if they were the same.
What Does High Numeric but Low Weighted Distribution Mean?
High numeric distribution with relatively low category-weighted distribution may indicate that the brand is carried in many outlets but is missing from stores responsible for a disproportionately large share of category spending. The next question is which missing stores are commercially relevant and realistically accessible.
It may be more productive to target selected high-opportunity outlets than to pursue more low-volume listings indiscriminately. However, category fit, stock conditions, competitive activity and execution costs should be checked before expanding distribution.
What Does Low Numeric but High Weighted Distribution Mean?
Low numeric distribution combined with high category-weighted distribution suggests the product is concentrated in commercially important stores. This can be efficient, but a narrow footprint may still leave relevant geographical or shopper needs unmet.
A good expansion plan compares missing stores with the existing network: category demand, outlet format, current product velocity and supply feasibility. A strong weighted result is not by itself proof that the product is optimally distributed.
How Do Distribution and Sales Velocity Work Together?
Distribution tells the team where the product reaches the market; sales velocity describes how much it sells per comparable active outlet or store-week. A brand can gain listings and still lose velocity if newly added outlets are less productive. Conversely, strong velocity in a small number of stores can point to a distribution opportunity.
Four practical diagnostic patterns are useful: limited reach with strong velocity suggests testing expansion; broad reach with weak velocity calls for demand or execution review; both falling warrants a combined investigation; higher numeric reach with unchanged weighted reach suggests that added stores contribute relatively little category sales.
For market-share interpretation, also read value, volume and unit share within the same category definition. See the FMCG market share analysis guide for that broader framework.
How Should FMCG Teams Prioritize Distribution Opportunities?
- Define the eligible outlet universe, category and geography.
- Check whether numeric and weighted measures use identical store and time definitions.
- Separate direct observed reach from projected market estimates where appropriate.
- Identify the stores or regions missing from the current distribution.
- Compare category opportunity with velocity, price positioning and availability evidence.
- Test priority distribution changes and evaluate results over a comparable reporting period.
A national distribution gain may conceal weakness in a strategically important region. Segment the results by relevant geography, outlet format, brand and SKU before directing field resources.
How Can TrendBox Support Distribution Analysis?
TrendBox’s FMCG Tracker combines market share, distribution, price and sales velocity within a consistent retail measurement view. Its Location-Based Analytics provides geographic breakdowns, while the Retail Measurement and Tracking service is designed around Türkiye’s traditional trade. These capabilities can help FMCG teams evaluate whether a change in performance is linked to reach or to sales within existing outlets.
The public descriptions identify distribution and weighted-distribution analytics, but the exact presence rule, weighting definition and market projection used for a particular report should be agreed for the category and service scope. Review TrendBox features and retail measurement services for the available capabilities.
Frequently Asked Questions About Numeric and Weighted Distribution
Is weighted distribution always higher than numeric distribution?
No. Weighted distribution can be higher or lower depending on the category importance of carrying outlets. The two metrics use different denominators and do not have a fixed ordering.
Can two brands have the same numeric distribution but different weighted distribution?
Yes. Each brand may be present in the same number of stores but reach stores with very different category sales. The example in this guide shows both brands at 60% numeric distribution while their category-weighted results differ.
Does weighted distribution use category sales or all-store sales?
It depends on the named weighting method. Category weighting uses sales within the relevant category; ACV uses all-commodity store sales. The basis must be stated explicitly.
Is numeric distribution the same as on-shelf availability?
No. Numeric distribution may use a listing, field presence or selling rule. On-shelf availability is a different observation that checks whether shoppers can actually purchase the product.
Is a high weighted distribution enough to grow sales?
No. Product pricing, availability, assortment, demand and sales velocity still matter. High weighted reach identifies access to sales opportunity, not guaranteed sales.
How often should distribution be measured?
Choose a cadence that fits the category and source. Daily or weekly views can reveal meaningful changes earlier, while longer comparable periods help distinguish sustained distribution shifts from reporting noise.
Turn Distribution Numbers Into Commercial Priorities
Distribution analysis is more useful when a team sees both the breadth and the sales importance of its retail reach. Comparing numeric and weighted distribution with sales velocity and market share helps prioritize the outlet gaps worth investigating. Contact TrendBox to discuss the categories, channel definition and distribution measures relevant to your decision.