Transforming your syndicated data into business insight
There may be an opportunity to increase sales at some retail customers by making sure that you are getting your fair share of distribution. The basic concept is that if your brand has, say, a 25% share of category dollar sales then it should also have at least a 25% share of the category distribution. […]
We have already discussed 2 key measures relating to distribution: % ACV Distribution and Average Items Carried. For product aggregations above the item level, % ACV Distribution provides a measure of distribution breadth and Average Items Carries covers depth. But what if you want to have one measure that summarizes distribution, taking into account both […]
Learn why Average Items Carried is important in this previous post. Even though Average Items Carried is pretty straightforward, here are some questions (and answers!) that often come up when the measure is new to an organization. Can I add together Average Items Carried across periods or geographies? NO! It is a non-additive fact , since it is […]
As mentioned in a previous post, shoppers cannot buy something if it’s not in the store! That’s why having good distribution is so important to your business. What can you do to increase distribution when your brand is already in at least 90% ACV distribution? Let’s look at an example. Say there are 3 brands […]
If Average Items Carried (or Average Items Selling) is not available on your database, it is easy to calculate in Excel. It is just the sum of % ACV Distribution of all the items divided by the % ACV Distribution of the brand. Here is an example: Say a brand is made up of 4 […]
Want to know how the heck % ACV Distribution is actually calculated? Read Part 1 here. % ACV Distribution is a really basic measure but it can be tricky to use in analysis. Here are the 5 most important things to remember about % ACV Distribution: It gets triggered by a SCAN, not by […]
