Exploring SimplyMap Data: Retail Market Power

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In this week’s SimplyMap report, we explore one of the newer datasets available: Retail Market Power®.

What is it? In short, the Retail Market Power® dataset helps users identify opportunities within the industry they are targeting. These gaps are identified by analyzing expenditures and retail sales. Marketers can focus on targeting areas where the expenditures far exceed the total sales.

Let’s take a look at an example.

Scenario: You are thinking of opening up a jewelry store in your ZIP code, but first you want to determine if there is a need for one, and discover if people in the area readily buy jewelery.

Solution: First, open a Standard Report and use your ZIP code as the location. Next, navigate through the Retail market Power category in the Variables menu to find jewelry store expenditures and sales in your location. After selecting the correct variables, close out the Variables menu to generate your report.

rmp1

rmp3The report is shown below:

rmp2

According to the above results, there is a fairly large gap in the jewelry store industry in the 44146 ZIP code where expenditures are greatly exceeding sales. Many residents must be spending their money at jewelry stores outside of the ZIP code, creating an opportunity for more jewelry stores to site locally.

The above scenario is a brief look at this dataset. Explore the other 17 category folders and let us know some interesting figures you come across!

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2 Comments
  1. A Akshali
    Posted on

    Thank you for sharing this method! I had two questions:

    1) How does the expenditures data set prove that “Many residents must be spending their money at jewelry stores outside of the ZIP code” when the dataset itself is limited to expenditures IN that zipcode? Is the population for expenditures measured in what households in the zip code spend money on, whereas the sales are measured from retail in the zip code?

    2) Is it possible to perform this analysis on an area smaller than a zip code? I am looking to find various retail trends in a particular neighborhood/commercial corridor of the City of Chicago.

    • GA GRI Admin
      Posted on

      Hello! Thanks for your comment.

      1. If the potential total spending for the ZIP code is greater than the actual spending, than we can conclude that residents are spending this additional amount outside of their zip code.
      2. Yes, you may perform an analysis like the example here on smaller unit of geographies, such as census tracts and block groups.

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