Use chain demographics to determine best-fit tenants

CRE | Examine consumer attributes and behavioral segments on a chain level to determine businesses that fit a specific location

Use chain demographics to determine best-fit tenants

CRE | Examine consumer attributes and behavioral segments on a chain level to determine businesses that fit a specific location
In This Article

Understanding the audience profile of each retail partner can play an instrumental role in your real estate strategy. With Placer, you can view a range of chain-level consumer attributes, allowing you to gain a better understanding of the customer makeup of each chain and tailor leasing or development materials to the chain of choice.

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

  1. How can you view consumer demographic information for specific chains?
  2. What are the differences between the shoppers of competing retailers? What type of consumers are more likely to visit a certain retailer and not the other?
  3. How did the customer profiles change in recent years in light of macro events like the pandemic or inflation?

Get started with the following steps:

Step 1: Compare demographic & psychographic attributes in different chains

a. In the Chains section, go to the Demographics report. Select the chains you’d like to compare in the top search bar. You may select up to 8 chains for comparison. You may compare Chains at the national, state, DMA, or CBSA level.

b. In Audience Profile, select the chains for comparison and then the relevant dataset.

c. In the example below the STI: Popstats dataset is used. In the Ethnicity section, we can see the breakdown of population ethnicities and the indices of each segment compared to the nationwide average. For example, in the trade areas of Smart & Final locations, Hispanic and Asian ethnicities are over-indexed. This means that the areas from which the chain draws its customers have higher ratios of these population groups compared to the nationwide averages. This insight can be used to identify ideal locations for the chain to expand its footprint or relocate existing stores.

Pro Tip: Customers may find different datasets in Audience Profile depending on the company’s subscriptions. While several datasets are available to all customers at no extra cost, a variety of additional datasets are available on Placer's Marketplace for an additional fee.

Step 2: Compare demographic & psychographic attributes for the same chain at different time periods

a. In the Chains section, go to the Demographics report. Select the chain you’d like to compare in the top search bar. Again, you may view the chain at various levels: national, state, DMA, or CBSA.

b. Click the 3 dots next to the selected chain and select Duplicate. Click on the calendar drop-down and select Advanced. In the right drop-down, select Filter per Industry, select the relevant dates, click Apply, and then Apply Filters.

c. In the example below, we used Popstats dataset and a comparison of H Mart’s visitors in 2022 (red) vs. 2019 (purple). You can see 2 interesting trends: (a) A decrease in average and median household income and (b) A decrease in disposable income. This may indicate that the chain’s shoppers have more limited purchasing power. Real estate leaders can use these insights to adjust their leasing & merchandising strategies in real-time.

Step 3: Identify the top household segments that visit each chain (for customers who have added the PersonaLive application).

a. Go to the Spatial.ai PersonaLive report under Advanced Reports. Choose the Analyze tab.

b. Make sure you are set for Brands analysis and using the Rank view. Select the relevant retail chain from the drop-down and see the top household segments that visit the chain’s locations. You can download a CSV file of the segmentation data.

Clicking the Expand icon next to each segment will open the segment report.

c. The segment report breaks down each segment's attributes, preferences, and influences.

d. Go to the Geography section to view the local markets where this population segment is prevalent.

Pro Tip: The Spatial.ai PersonaLive application combines store visitation with digital behavior from social platform interactions to classify households into 80 segments that reveal which brands they follow, publications they read, topics they discuss, and more. For more information visit the Placer Marketplace.

Step 4: Identify shared audience segments between 2 retail chains (for customers who have added the Spatial.ai PersonaLive application)

  1. Go to the Spatial.ai PersonaLive report under Advanced Reports. Choose the Analyze tab. Select Brands analysis and switch to the Compare view.

Select any 2 chains to compare the household segments that visit their location. In the example below, we compare the audience segments of Sprouts Farmers Market (Y-axis) to Whole Foods Market (X-axis).

  1. The comparison indicates that the 2 chains share several audience segments such as Upper Suburban Diverse Families or Ultra Wealthy Families. Also, Whole Foods is drawing a small yet notable share of visits from the Urban Low Income, while Sprouts is over-indexing for Wealthy Suburban Families. This comparison indicated nuanced differences in the chains’ customer makeup, and this knowledge can help real estate users determine which chain may fit their own locations best, while speaking intelligently to what is happening in their markets.
Case Study

Lifestyle center uses Placer to identify women's apparel retailer with strong cross-shopping and demographic fit

The Challenge

A lifestyle center was looking for a women's apparel retailer following a recent vacancy. With 2 different retailers expressing interest, they wanted to know which tenant would both 1) be successful at their center, and 2) bring significant cross-shopping to other stores at their center.

The Outcome

To answer this question, the broker looked at the chain demographics for each and compared that data to the customer demographics for their center. They also confirmed that the retailer with the strongest demographic fit also had the higher amount of same-day cross-shopping with other retailers in center, solidifying their ideal tenant for them.

Case Study

Lifestyle center uses Placer to identify women's apparel retailer with strong cross-shopping and demographic fit

The Challenge

A lifestyle center was looking for a women's apparel retailer following a recent vacancy. With 2 different retailers expressing interest, they wanted to know which tenant would both 1) be successful at their center, and 2) bring significant cross-shopping to other stores at their center.

The Outcome

To answer this question, the broker looked at the chain demographics for each and compared that data to the customer demographics for their center. They also confirmed that the retailer with the strongest demographic fit also had the higher amount of same-day cross-shopping with other retailers in center, solidifying their ideal tenant for them.

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