Weighted Numeric Distribution

Assuming you are already familiar with Numeric Distribution, let’s dive into Weighted Numeric Distribution.

So, weighted numeric of a brand is simply the percentage of shops which carry the brand out of the entire list of shops which carry products of that same category.

For example, let’s say Brand A is a brand of Soap. So, we will count all the shops that sell soaps in that region, let’s say Delhi.

Let’s assume for the sake of this example that there are 10,000 shops in Delhi which sell soap, and out of the 10,000, there are 1000 shops that sell Brand A. Therefore, the weighted numeric distribution of Brand A will be 10%.

So, the formula is: 100 X (Shops that sell Brand A of soap) / (No. of shops that sell soaps in Delhi)

You can see here that there is a vast difference between Numeric Distribution and Weighted Distribution in terms of the number. Many brands prefer to measure weighted distribution because it keeps the focus sharply on the category shops, instead of trying to convince shops which do not sell the category at all. This saves time and energy for the sales reps in some ways.