Transforming your syndicated data into business insight
This is the second in a series of posts on quantifying the impact of business drivers on sales volume. Please review these posts for more information on this very useful analytical technique that helps answer the question Why did our volume change? Part 1 – Overview of this very useful analytical technique that helps answer the […]
Earlier this year, we received a frustrated email from a reader. He wrote: “Once and for all, I would like to know exactly what ACV is. You hear several definitions depending on the site you visit. Then I would like to know how to calculate it, what it tells me, and why suppliers should care.” […]
In this previous post I explained how to quantify the size of the opportunity for both your brand and the category if you are getting less than your fair share of distribution. This time I will show how to quantify the impact of getting your brand into more stores, regardless of your current share of […]
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 […]
