How ZoneSavvy Works
ZoneSavvy works in US cities that have at least 40,000 people (or within 5 miles of any of these cities).
ZoneSavvy's patent-pending algorithm sorts through tons of data to bring you valuable real estate insights. ZoneSavvy identifies anomalies in the Supply-and-Demand of businesses in an area. These anomalies are opportunities that a savvy business can profit from.
ZoneSavvy classifies every neighborhood by looking at a number of distinguishing characteristics: demographic information about the people who live there (such as age and income), the price of commercial real estate in the area, and the types of clusters that different types of businesses form. For each of these neighborhood classifications, ZoneSavvy calculates the average of how many of each type of business there typically are in that kind of neighborhood.
For the "Find the Right Tenant for a Property" search, ZoneSavvy looks at the neighborhood that you're interested in and determines how that neighborhood differs from other neighborhoods with the same classification. For example, if other neighborhoods with the same classification have an average of five nail salons, then ZoneSavvy assumes that five is the ideal number of nail salons for that type of neighborhood. It then calculates the optimal number of each type of business for the neighborhood. Using these calculations, ZoneSavvy determines which types of businesses are popular in similar neighborhoods and are under-represented in the neighborhood that you're interested in. The ZoneSavvy system then recommends the types of businesses that are most likely to succeed in that location.
For the "Find the Best Place to Locate Your Business" search, ZoneSavvy looks at each neighborhood and determines how that neighborhood differs from other neighborhoods that have the same classification. If you do a search for where to locate a pizza restaurant, the system recommends neighborhoods that have a shortage of pizza restaurants when compared to other neighborhoods that have the same classification. For example, if other neighborhoods with the same classification have an average of three pizza restaurants, then ZoneSavvy assumes that three is the ideal number of pizza restaurants for that type of neighborhood and recommends neighborhoods that have that classification and that have fewer than three pizza restaurants. The top-ranked neighborhoods are the ones that have the greatest shortage of the specified business.