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Customer derived areas

Available with Business Analyst license.

  • Overview
  • Input prerequisites
  • Example output

Overview

Customer derived trade areas are generated based on the location of customers or a weight (an attribute associated with each customer), such as sales. Primary, secondary, and tertiary market trade areas can be defined, generated and displayed showing areas representing 30 percent, 50 percent, and 70 percent of your customers, respectively. In this case, the closest 30 percent are your core customer base. Because the customer-derived area uses actual customer locations as an input, it can be a more comprehensive version of a standard simple ring trade area.

Customer derived areas can be created in four different ring types:

  • Simple (Convex hull) - Generalized overlapped trade areas are drawn around sets of customers based on customer percentages.
    Simple ring
  • Amoeba - Overlapped trade areas are drawn around sets of customers based on customer percentages. This approach joins extreme points using elliptical arcs.
    Amoeba ring
  • Detailed - Detailed overlapped trade areas are drawn around sets of customers based on customer percentages. This approach joins extreme points using straight lines.
    Detailed ring
  • Detailed with Smoothing - This approach joins extreme points using a smoothed curve using cubic splines. This approach is recommended because it accounts for the shape and pattern of customer distributions.
    Detailed, with smoothing, ring

Input prerequisites

Both store and customer data are required to create customer derived areas.

Example output

The example below shows that customer derived areas can be created in two ways for the same customer base.

The image below shows rings created by geographic location. From the store location, the nearest 30 percent, 50 percent, and 70 percent of the entire customer base are identified.

Customer Derived Areas by customer locations

The image below shows the rings created using an attribute assigned to each customer location. In this case, the attribute represents the amount purchased per individual at the store location. This method allows you to identify your closest 30 percent, 50 percent, and 70 percent of total sales. This method is important when targeting customers that bought larger ticket items, because the rings will pull toward these higher weighted points.

Customer Derived Areas using an assigned attribute
Tip:

Donut areas only contain the customers in each band. For example, in 40-60-80 percent donut trade areas, the 60 percent donut only includes customers outside the 40 percent area and inside the 80 percent area. In non-donut areas, the customers are cumulative.

Learn more about Customer Derived Areas.

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