Part of serving our retail clients involves understanding their competitors’ target customer and market entry strategy. We analyzed Sephora, one of the largest companies in the personal care and beauty space, and found that their locations regress most closely with total households and not a particular income range. This is evidence that Sephora is a mass-market brand whose target customer comes from a wide range of income levels.
You can interact with these Tableau Vizzes here.
We’ve worked on over 40 markets around the world, helping companies use data to develop an expansion strategy and evaluate new locations. One of the first things we do when working on a new market is to study the POI (Points of Interest) data along with our wealth and demographic data. We recently made this movie, “Getting to Know Dubai,” to help educate ourselves about the market. See the movie below or click here to interact directly with the map.Read More
Hong Kong is one of the wealthiest places in the world. As part of our new High Net Worth Individual (HNWI) data product, we’ve built a GIF (movie) which shows the levels of wealth concentration in Hong Kong.Read More
As a follow-up to our Whole Foods Manhattan study, we’ve created a growth map for SoulCycle in Manhattan. To visualize this, we created a GIF (movie) of SoulCycle locations each year from 2005 to 2018, which you can view below.
SoulCycle has gone from 0 to 17 studios in Manhattan in the last 13 years. As of today, 41% of the Manhattan population and 66% of households earning $200k or more live within a 15-minute walk of a SoulCycle studio. Based on the map and our knowledge of New York, we would predict that their next openings would be in Hudson Yards, the Lower East Side and the southern part of Harlem.
Webster Pacific has been working on Property Price Prediction Maps in markets across the United States. These maps provide our prediction, based upon geospatial wealth-change calculations, of where property prices will increase. Below, you will find maps of Manhattan, Miami, and LA, and you can find the map of San Francisco here.
Tom Paper wrote an article recently on international data. Excerpt:
Getting US data is easy. Getting foreign data is hard. For many reasons, US data about demographics and wealth is easy to find, even on a micro-geographic basis, but in virtually every other country in the world, finding data about demographics and wealth is very hard.
You can find the article on Medium here.