Weighted Distribution

Weighted distribution (WD) measures the quality of a brand's distribution by weighting each stocking outlet by its share of total category sales. If a brand is available in outlets that collectively account for 75% of all milk sales in a city, its weighted distribution for milk is 75%, even if those outlets represent only 30% of the total outlet count. WD answers the question: "Are we in the outlets that matter?"

In India, the difference between numeric distribution and weighted distribution tells a powerful story. A premium ghee brand may have only 25% ND (available in a quarter of outlets) but 60% WD (those outlets sell 60% of all ghee in the market), meaning it has strategically targeted high-value stores. Conversely, a brand with 70% ND but 40% WD is present in many small outlets but absent from the big ones, a costly distribution inefficiency.

WD is typically sourced from retail audit panels like Nielsen or measured internally by tagging outlet classes (A/B/C) in the SFA system and weighting their contribution. Sales analytics platforms that combine outlet-level billing data with category benchmarks can approximate WD in real time without expensive syndicated data.