Site selection can make or break a new business. To make better location decisions, it is often critical to understand how a new site will affect existing sites, where it will reside versus competitors, and what the makeup of the proposed trade area looks like. With New Perspective’s maps and data, you can make informed decisions about site selection incorporating market data and your proprietary information.
Client was evaluating new sites in the Los Angeles market. Key success drivers were found to be employee density, household income and presence of key competitors. All of these elements were incorporated into a market analysis including maps.
Client was evaluating new sites in the Los Angeles market. Key success drivers were found to be employee density, household income and presence of key competitors. All of these elements were incorporated into a market analysis including maps.
Customer was evaluating sites for new location. Existing customer sales were geocoded and aggregated spatially. A quarter-mile grid was overlaid and sales were expressed thematically by grid square. Unlike a dot-density map, this grid map allowed easy identification of highest performing areas.
Customer was evaluating sites for new location. Existing customer sales were geocoded and aggregated spatially. A quarter-mile grid was overlaid and sales were expressed thematically by grid square. Unlike a dot-density map, this grid map allowed easy identification of highest performing areas.
Customer seeking site-selection guidance identified GLA (Gross Leasable Area) of existing shopping as a key driver. New Perspective created 1-mile grids over key markets and aggregated GLA information within each square. Grid squares were then thematically shaded to identify high GLA-density pockets.
Customer was examining the viability of prospect sites. GLA (Gross Leasable Area) was found to be a key success driver. New Perspective aggregated GLA data and created 1 mile grid. Each grid square was thematically shaded according to GLA density and combined with prospect locations.
Client was considering locations for a headquarters relocation. In order to measure impact on employees, all employee addresses were geocoded and a convex hull created. Centroid of convex hull was calculated and used as starting point for new site candidates.
Client was considering addition of dedicated catering kitchen and wanted to understand existing sales. Actual sales data was plotted by census block group along with existing and prospect locations with trade areas.
Client was considering addition of dedicated catering kitchen and wanted to understand existing sales. Rather than simply plotting sales figures, each ZIP Code was calculated relative to the market total to identify the most valuable ZIP Codes as a percentage of total sales.
Drive times plotted around an existing Pizza Hut location with competitors included for reference. Goal was to determine the viability of prospect site.
Client was assisting Sleepy's with site selection and requested New Perspective's help creating maps. This map shows two existing Sleepy's locations with drive time polygons, along with a prospect site with drive times. Purpose was to identify the overlap in potential customers between existing and new locations.
Fresh-market concept needed to understand the presence of competitors relative to the market potential. A drive time polygon created around a key competitor helped client select locations that could attract competitor customers without being too closely located to competitors.
Client was evaluating new sites in the Nashville market. Key success drivers were found to be employee density, household income and presence of key competitors. All of these elements were incorporated into a market analysis including maps.
Customer was seeking sites for expansion. Following completion of a market study, a number of key attributes were identified for success, including traffic density and household makeup. Intersections that met the traffic density criteria were ranked according to the density of these key household attributes.
Customer was seeking sites for expansion. Following completion of a market study, a number of key attributes were identified for success, including traffic density and household makeup. Intersections that met the traffic density criteria were ranked according to the density of these key household attributes.
Customer was evaluating saturation of key markets, in this case the Dallas-Ft. Worth market, as part of a major new initiative. This map incorporated existing locations with trade areas, new approved sites and franchisee committed territories.
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