Introduction: Understand trade areas

CRE | View center reach, measure cannibalization, and understand populations living within a trade area

Introduction: Understand trade areas

CRE | View center reach, measure cannibalization, and understand populations living within a trade area
In This Article

A trade area offers a visual representation of different locations that drive visitation foot traffic to your center over a period of time. They are displayed as dynamic, gradient, or hexagon heat maps. View data by home location or work location, see how far visitors travel to reach your center, measure cannibalization by comparing multiple trade areas, and generate insights about populations living within a property's trade area.

You’ll be able to answer these questions after reading this article:

  1. What is the reach of your trade area?
  2. How can you measure cannibalization in your trade area?
  3. How can you gain insights into a trade area’s population?

Get started with the following steps:

Step 1: Use Trade Area Coverage by Distance to show the distance in miles that visitors travel to reach your center

a. Open the Placer report for your chosen POIPoint (Location) of Interest.. Navigate to Trade AreaRepresentation of the dispersion of home and work locations that drive traffic to any venue. in the left sidebar and scroll down to Trade Area Coverage by Distance.

Learn about Trade Area Coverage by Distance

b. You can select among four metrics to evaluate distance: percentage of Visits, number of Visits, percentage of Visitors, and number of Visitors. 

c. Distances can be viewed by home location or work location and filtered by visit frequency to understand the travel patterns of more loyal visitors.

d. Data can be visualized in a cumulative view, which aggregates visits at mile intervals, or in a distributed view, which distributes visits across different ranges of distance. Trade Area Coverage by Distance data can be downloaded as a CSV file.

Step 2: Use the Trade Area Overlap function to accurately measure cannibalization between tenants, shopping centers, or other POIs

a. To compare the trade areas of different locations, open the Placer report for your chosen POI and use the + in the header to add another.

b. Navigate to Trade Area in the left sidebar, then scroll down to Trade Area Overlap. View overlapping areas by land size and by shared population, select different types of trade areas (True Trade Area, Drive Time, and Distance in Miles), set a custom traffic volume for granular analysis, and choose to visualize the scale of data in a fixed or proportional view. Trade Area Overlap data can be downloaded as a CSV file.

Learn about Trade Area Overlap

Step 3: Use Audience Profile to gain insights into populations living within a property's trade area

a. Navigate to Demographics in the left sidebar and refer to Audience Profile. Analyze the trade area using different types including True Trade Area, Drive Time, Walk Time, and Distance in Miles. Customize each trade area type based on traffic volume. You can change allocation types, which affect how populations are counted in a trade area. To compare two trade areas, click the compare feature and add the second POI.

b. Below the map is a drop-down menu that contains different third-party datasets from Placer’s Marketplace. They provide new visibility into locations, markets, and visitors. Where applicable, benchmark datasets at different levels, including national, state, and county. If the dataset you’re looking for is not visible, click View more Datasets to add it. The data can be downloaded as PDFs or CSV files.

c. To make a comparison between two trade areas, make sure both venues are toggled on (you can compare up to 8 properties).

d. In this example, you will see that, while both malls over-index for Total Crime (AGS CrimeRisk), Perimeter Mall has lower crime rates than Cumberland Mall.

Pro Tip: Customers with the Spatial.ai dataset add-ons can view more detailed differences in trade areas. Discover more about visitors’ interests, web searches, and shopping habits. For more information on Spatial.ai datasets or to request pricing information, click here. Customers with the AGS Behaviors & Attitudes add-on can clearly see key differences between the preferences of the shoppers in their trade area vs. a competitive trade area. For more information on AGS Behaviors & Attitudes or to request pricing information, click here.
Case Study

Crawford Square uses Placer to prove center strength, recruit national tenant, and increase rent

The Challenge

Crawford Square attempted to recruit a personal care and beauty retailer at one of its Alabama centers for years, without success. How could Crawford Square prove the center would be a good fit?

The Outcome

Crawford Square used Placer to demonstrate that the trade area and population draw was significantly larger than expected, landing the tenant, who had a successful grand opening. This enabled them to increase new rents by 20% and to secure an additional tenant, Aerie.

“Getting a retailer interested in and visiting a smaller market like Montgomery, AL isn’t easy, but with Placer’s True Trade Area and competitive tracking we were able to prove the strength of our center and execute on our initiatives to upgrade The Shoppes at Eastchase.”

Mary Beyer Lell
Principal, Head of Leasing
Case Study

Crawford Square uses Placer to prove center strength, recruit national tenant, and increase rent

The Challenge

Crawford Square attempted to recruit a personal care and beauty retailer at one of its Alabama centers for years, without success. How could Crawford Square prove the center would be a good fit?

The Outcome

Crawford Square used Placer to demonstrate that the trade area and population draw was significantly larger than expected, landing the tenant, who had a successful grand opening. This enabled them to increase new rents by 20% and to secure an additional tenant, Aerie.

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