Use planned development data for planning & forecasting

Retail | Use construction and store landscape data for site selection, forecasting, and performance analysis

Use planned development data for planning & forecasting

Retail | Use construction and store landscape data for site selection, forecasting, and performance analysis
In This Article

Planned and ongoing development data can be instrumental for retailers. Use Placer to gain information on projects at their various construction stages near the property examined. Generate a map that allows you to explore how the store landscape is changing around a location by showing which retailers have opened or closed a store nearby.

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

  1. What projects exist around a location and what are their various construction stages? 
  2. How is the store landscape around a location changing?
  3. How can you assess the local area and future commercial potential?

Get started with the following steps:

Step 1: Use Planned Development in Area Analysis tools for construction data

a. From the Property report page, navigate to Area Analysis in the left sidebar. 

b. Scroll to Planned Development. This tool provides information on projects at their various construction stages near the store examined to help assess the local area and its future commercial potential. Refine the analysis using the following parameters:

  • Property Trade Area - Shows all construction projects within the property’s True Trade AreaRepresentation of the dispersion of home and work locations that drive traffic to any venue. (True Trade Area) or all construction projects up to 50 miles away from the property (Distance in Miles).
  • Stage - Displays development projects according to their stage of construction (e.g. Planning, On Hold/Canceled, Completed). Property pins are color-coded according to their construction stage to help you examine properties in the same stage of construction.
  • Categories - Shows development projects by their property category (e.g. Retail, Hotels, etc.).
Learn about Planned Development

c. When selecting a development project on the map (any pin) you will see additional information on the selected planned project including its name, address, owners, and size. The Estimated Overlap figure indicates the potential trade area overlap between the property examined in the report and the development project.

Learn about Trade Area Overlap

Note: The data in this widget is from a 3rd party provider called BCI BuildCentral. The dataset contains information on construction projects of grocery chains and other retail venues, and is updated by BCI on a weekly basis. Please note that there is a lag time for data flowing in this widget due to BCI’s project verification process which ensures the validity of the information displayed.

Step 2: Request a Placer XTRA Nearby Openings & Closings map 

This map allows you to explore how the store landscape is changing around a location by showing which retailers have opened or closed a store nearby within a given time period (some latency is expected until a store opening or closing is updated depending on the retailer).

a. In the main horizontal navigation bar, select Advanced Reports, and choose Placer XTRA to view the report catalog. Click on Nearby Openings & Closings (you can first filter by clicking on Retail under Reports Catalog and scrolling until you find it).

b. To request this report, enter the Placer POIPoint (Location) of Interest.(s), select the applicable date range, and the mile radius you’d like to use. Once submitted, this report is delivered in 2-4 business days.

Learn about Placer XTRA
Case Study

Clothing retailer uses Placer's construction data to target high-growth markets

The Challenge

A clothing retailer that is most successful when near a Costco was looking to expand into high-growth markets. How could they find the best sites, given high growth markets may have significant retail under construction?

The Outcome

The clothing retailer used Placer's planned construction data, allowing them to see housing and retail under construction. Importantly, they could also see retailers already set for a parcel, including Costcos.

Case Study

Clothing retailer uses Placer's construction data to target high-growth markets

The Challenge

A clothing retailer that is most successful when near a Costco was looking to expand into high-growth markets. How could they find the best sites, given high growth markets may have significant retail under construction?

The Outcome

The clothing retailer used Placer's planned construction data, allowing them to see housing and retail under construction. Importantly, they could also see retailers already set for a parcel, including Costcos.

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