Are You Getting Your Fair Share of Distribution?

fair shr dist graphic

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.

I’m sure you already know how to calculate share of category dollar sales.  But how do you calculate your share of category distribution?  % ACV Distribution doesn’t work – most categories and many large brands will have 100% ACV Distribution, so that measure doesn’t differentiate well.  Instead, the best way to calculate share of distribution is to use Total Distribution Points or TDP.  I recently wrote a whole post about TDP’s. In short, it’s a sum of % ACV Distribution for each item in a category, segment or brand.

The calculation for Fair Share of Distribution is:
Fair share index = share of TDPs / share of dollar sales * 100

Sample Calculation

  • Brand Share of Category TDPs        12.8%
  • Brand Share of Category Dollars     15.0%
  • Fair Share of Distribution Index = 12.8 / 15.0 * 100 = 85

How to Use With A Retailer

If fair share index is < 100, then there is an opportunity for the retailer to increase your distribution by adding items or expanding to more stores, ideally at the expense of your competitor(s) who are receiving greater than their fair share of distribution (index > 100).  If your index is > 100, then there is, of course, no need to bring this to the attention of your retail customers!  If, based on the fair share index, you do have a case for increasing distribution, then you’ll want to do additional analysis to figure out what specific changes should be made.

Take a look at this example.  Brand A should not share this with this retailer, while Brand B can use it to hopefully gain more distribution at the expense of Brand A.

fair share of dist

Fair Share can be used in many different ways – see another example here.

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  1. This is very insightful (looks very similar to a space-to-sales index). I’ve been delving into IRI data for the past year as an analyst for a wholesaler, and I’ve learned a lot from reading through this site.

  2. Greatly enjoying the articles on this site! I’m just beginning to study CPG and look forward to reading the blog from oldest to newest.

    I also have a question: would it be appropriate to use Sales per Point of Distribution to estimate the impact of fine-tuning the distribution? In other words, Brand B has SPPD of $138.38 ($300,000/2168), Brand A has SPPD of $98.04 ($200,000/2,040) – which is a “gap” of $40.34 between the two brands. Brand B is under fair share by 4.5% while A is over by 4.0%, thus we would make the argument (as BM of Brand B) that we should absorb Brand A’s 4% overage giving us an extra 340 points (.04*8500) and thus be worth an estimated $13,716 ($40.34* 340).

    Thanks! And sorry if this is discussed somewhere else. The hyperlinked example seemed slightly different as it talked about the category overall.

    • Robin Simon says:

      Here is my understanding of what you’re asking:

      1. My brand is not getting its fair share of distribution (which means some other brand is getting more than its fair share of distribution).
      2. My brand has a higher SPPD (velocity) than another brand that has a lower velocity but greater than fair share of distribution.
      3. How can I use that fact to get a retailer to shift some distribution from the slower-moving brand to my brand?

      I will be addressing this in more detail in a future post but in a nutshell, you are on the right track with your line of reasoning. If Brand B gets/steals an additional 340 points of distribution from Brand A, the opportunity for Brand B is actually $47,048 (= additional 340 points * Brand B velocity of $138.38). The increase in sales to the category would be $13,716 (340 points * velocity increase per point by switching distribution to Brand B from Brand A).

      Hope that helps!

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