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Blog » How To Answer Business Questions » Who’s NOT Selling My Products? or How to Identify Distribution Voids

Who’s NOT Selling My Products? or How to Identify Distribution Voids

August 27, 2019 By Robin Simon 3 Comments

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Let’s start with stating the obvious:  Shoppers cannot buy your products if they are not available where they shop.  Even though your brand may have 12 different items in its product line, not every retailer carries every item.  You can identify which retailers sell which items using a relatively straightforward data pull from IRI or Nielsen.

                           

Here is what you need to pull for each of the 4 dimensions:

  • Products:  Total Brand plus all of your individual items (or specific items you are interested in)
  • Geographies:  Total US, all available retailers (or particular ones you are interested in)
  • Period:  Most recent month or 4-week period available
  • Measure:  %ACV Distribution

In order to make it easy to see who sells what, have your items go across the top (as columns) and the retailers down the side (as rows).  Depending on your data query tool, Period and Measure should be in “Page By” or at the upper left of the query.

A good rule of thumb when setting up a data query is to have the dimension with the most values as rows. So if you have lots and lots of varieties of your brand but don’t buy data for that many retailers, you may want to list your products as rows with the retailers across the top. The point is to have a matrix where you can look across retailers and items to identify distribution opportunities.

Take a look at the following example.  The Charlie’s Chips brand is made up of 6 items and we are looking to see if there are any distribution voids at the largest Grocery retailers.

%ACV Distribution
4 wks ending 6/29/19

How To Identify Distribution Voids

We can see that:

  • All the key retailers carry the brand and also the 2 sizes of Original flavor.  How do we know?  Because the first 3 columns have % ACV Distribution near 100.
  • The cells highlighted in red are distribution opportunities where that retailer does not carry that specific item at all.
  • The cells highlighted in yellow are opportunities to increase the distribution of that item at that retailer, since some but not all stores carry it.  (I used the rule of < 90% is an opportunity.  You can choose whatever you want.)

Now your salesforce knows where to focus their efforts in terms of gaining distribution.  How do you know which to go after first?  Read this post to see how to quantify those distribution opportunities.

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Filed Under: How To Answer Business Questions, Know Your Measures: Distribution Tagged With: distribution, distribution opportunity, distribution void, void

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Comments

  1. Mark Olivito says

    January 8, 2013 at 7:00 am

    A very basic, “FUNDAMENTAL” that so many people in CPG fail to do. Great illustration on a critical base volume building process.

    Reply
  2. Tosin says

    September 16, 2019 at 11:27 am

    Hi, can you fix the link for the pots on how to quantify those distribution opportunities?

    Reply
    • Sally Martin says

      September 16, 2019 at 5:48 pm

      Fixed! Thank you for pointing out the broken link.

      Reply

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About CPG Data Tip Sheet

We (Sally Martin and Robin Simon) first met in business school and bonded over our interest in geeky marketing stuff. Eventually we both started independent consulting practices. Now we’ve reunited to share with you some of what we’ve learned in our decades of experience working with syndicated CPG data.

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Categories

  • Glossary (79)
  • How To Answer Business Questions (42)
  • How To Communicate Insights (17)
  • How To Get Started with Nielsen/IRI (22)
  • How To Understand Your Database (12)
  • Know Your Measures: Distribution (24)
  • Know Your Measures: Pricing and Promotion (45)
  • Know Your Measures: Sales (21)
  • Miscellaneous (6)

Search CPG Data Tip Sheet

Tags

ACV analysis examples analytic skills attributes average items base base weighted weeks career development category management channels characteristics coronavirus coverage factor covid-19 Database distribution due-to Excel tips Facts incremental markets Measures merchandising new items panel data periods pricing pricing strategy products promoted price quantify opportunity retailer direct data retailer markets shopper data store data Syndicated TDP the basics trade promotion trading areas velocity visualization visualizations volume bridge volume decomposition

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