Exploring SimplyMap Data: Internet Search Engines

In this week’s report exploring SimplyMap data, we take a look at the variables available relative to internet search engines used. The source of this data will come from the SimmonsLOCAL data set which, as we’ve mentioned before, contains over 60,000 data variables. With that much data available, it’s safe to say that this series will be around for a very long time. Let’s get started!

Our general assumption here is that Google is the most used search engine in the United States. But does the data backup our assumption? Let’s find out.

First, create a new Standard Report under the New Tabular Report button:


Visualizing Brand Preference: Mayonnaise

One benefit of data and applications like SimplyMap is the ability to visualize information. In this week’s report, we’ll take a quick look at some branding preferences in contiguous America using data from the SimmonsLOCAL data set. As a reminder about the dataset, Experian SimmonsLOCAL is a powerful targeting and profiling system that provides insights into consumer behavior for all of America’s 210 media markets on a local level with 60,000+ data variables, including over 450 categories and 8,000 specific brands.

With that said, let’s visualize the brand preferences of mayonnaise (we’ll use Hellmann’s, Best Foods and Miracle Whip) across the United States to see if we can identify some obvious trends in preferences relative to geography.

Quick side note: out of curiosity, we decided to run a search for the word “mayonnaise” to see how many related variables exist in SimplyMap. That total? 202! On to our maps:




Business Search Tip: Searching Multiple Names

Inspired by a recent support desk question, this week’s SimplyMap report will demonstrate how a user would run a business search that consists of multiple names. In short, the user was attempting to view on a map and report where Walmart and Target stores were located within a city. Here’s how we did it.

First, select a location and map a variable – in this example, we’ll use the city of Philadelphia and map the variable Median Household Income: