Understand a prospective site's revenue potential

Getting and analyzing a sales forecast for a potential site

Sales forecastsSite attributesQuick DemographicsSmart Comps

Mobile dataCustomer segmentation

Sales forecasts

  1. Click an existing bolt or drop a new pin on the map to see the revenue projection, or Zeustimate, in the Analyze Panel.
  2. See how the forecast compares to your average unit volume based on its ranking of Excellent, Above Average, Average, Below Average, or Poor.
  3. Convert to location to one of the saved proposed site types.
  4. Adjust the site's attributes to refine the forecast for the location.

Analyze Panel

After dropping a pin, click it to view the location's Zeustimate.

Site attributes 

  1. Click the Site Attributes in the top section of the analyze panel to customize the Zeustimate by  adjusting the site attributes to the exact specifications for the location. By default your attributes will be set to the average values.
  2. After changing the attributes for a Consideration Site, click Test Attributes to see an updated sales projection.
Tip: Create or select an attribute template to easily apply a preset group of values to a projection.

Quick Demographics 

Click the Demographics menu at the bottom of the Analyze Panel to open the Quick Demographics feature, which provides deeper insight into the demographic data of each trade area. Use the Quick Demographics panel to switch between the different trade-area sizes. 

 

Smart Comps

With Smart Comps, you can see which ten sites in your portfolio most closely resemble the one you're analyzing and quickly compare their performance. These comparison sites traveled down the same or similar decision-tree path when being analyzed by the model. More consistency among comp sites indicates a higher confidence from the model.

Smart Comps-1

 

 

Mobile data 

Mobile data is a powerful resource that provides detailed information about the activity around a site.

You can leverage mobile data to visualize your sites' true trade areas by mapping path-to-purchase data and dynamic trade-area polygons. 
  • The path-to-purchase visualization provides an overall view of the paths most used by customers to travel to or from the location. 
  • Use the legend to change which trade-are polygons are shown on the map to see 60, 70, or 80 percent of a site's customer trips. 

You can use the Device Activity slider in the legend to filter this data by time or day. 

Map

Description automatically generated

Note: These filters only affect the path-to-purchase visualizations, not the trade-area polygons.

Customer segmentation

After redeeming mobile data for a site, you can dive deeper into the data with the Customer Segmentation Dashboard, accessible through the Customers tab in the Main Menu.

  1. Select the site(s) you'd like to analyze. By default, the dashboard will include all sites with mobile data redeemed.
    1. The Cumulative Ranking Interests and Behaviors section on the left will display the primary customer segments from most to least prevalent for all selected sites with mobile data.
    2. The Customer Interests and Behaviors Site Summary on the right will display additional data for your selected sites, including their Top Category & Interest, Score, Total Visits, Top Contextual Category, Top Contextual Place, Peak Day, and Peak Hour.