Retail GeoScore began when we needed
high-quality retail analytics & location data.
We couldn't find what we were looking for.
So we've created the products we wanted to buy.
We all do it: think in terms of shopping center grades, which informs sales, rent, and tenant suitability. We've used a variety of measures to estimate shopping center sales for all U.S. fashion centers. Shopping districts and power centers are scored and ranked.
Retail GeoScore tracks the locations of destination retail stores. We track nearly 700 retail chains (125,000 stores). Using satellite imagery and first-hand knowledge of U.S. markets, we have placed every store "on the rooftop."
Retail GeoScore tracks major tenants, ownership, year opened and directory website for all significant shopping centers. We monitor about 18,000 shopping centers. Centers are positioned on their rooftops.
Sometimes the sum is greater than its parts. Shopping centers and stores close to one another form shopping districts, collectively increasing sales. We track all of the 3,000 shopping districts in the nation.
Shopping centers count on drawing the right customers - their success depends on it. Taking competition and drive time into account, we have modeled the trade areas for all fashion shopping centers in the United States.
Too often, demographics and other retail data are circulated without a relevant context. What does it mean, for example, that a center's 70% trade area has a population of 150,000 and an average household income of $85,000? In the end, is this good or bad? We provide this context.
We distribute data à la carte to retailers, developers, leasing agents, brokers, financial analysts, market research professionals, and the mobile data industry. Data can be analyzed in tabular form, incorporated into GIS software, or integrated within enterprise applications. Presently, we're testing a 'one-stop-shop' website that handles the needs of professionals across the industry.