Commercial real estate data report

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United States

Commercial real estate data on foot traffic for US properties

Listings and comps tell you about the building. Huq shows how many people visit it, where they come from, how far they travel and when it is busiest.

The Huq platform: catchment zones around a location on a map, with store trend and performance cards

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Commercial real estate data usually means listings, sales comps, ownership and debt records. Huq is not a listings or transactions database. It is the location data layer that sits alongside them: weekly foot traffic, catchment and drive time, residents versus visitors and foot traffic density for any US property. Use it next to your existing sources to see how an asset actually performs before you buy, lease, lend against or value it.

See how Huq adds to your commercial real estate data

Huq platform overview video: a visitor heat map

This short video is an overview of the Huq platform. Watch how any property can be drawn or selected on the Explore map and how its foot traffic, catchment and density appear. For commercial real estate data, that is the layer to add next to listings and comps, exported as reports or delivered as data feeds to your own systems.

  • Density and residents vs visitors: see where activity concentrates around an asset and how much of it comes from outside the area.
  • Catchment and drive time: map the trade area behind a property to test valuation and leasing assumptions.
  • Data feeds: receive Parquet or CSV files in Amazon S3 or Google Cloud Storage to join with your property records.

Trusted by 300+ organisations · Data across 35 markets

What is commercial real estate data?

Commercial real estate data covers information about properties used for business: property details, listings, sales and lease comps, ownership, debt, rents, vacancy and absorption. Brokers, investors, lenders and appraisers combine these sources to price and underwrite assets.

Those sources describe the building and the deal. They say little about how the property is used. For retail and mixed-use assets, foot traffic and co-tenancy matter as much as the lease terms.

That is where Huq fits. It does not supply listings, comps or loan data. It measures visits to any address, residents versus visitors, catchment and drive time, dwell time and density, updated weekly. Geo-spend is available in selected markets. Work in the Explore map and Projects, export CSV, Excel or monthly PDF reports, or take Parquet or CSV data feeds into Amazon S3 or Google Cloud Storage.

What's in your commercial real estate data report

01

Weekly foot traffic trends

Visits to the property by week, month and year, with year-over-year comparison.

02

Catchment and drive time

Where visitors come from and how far they travel, so you can judge an asset's reach and the trade area behind it.

03

Dwell time and visit frequency

How long people stay and how often they return, a sign of whether a property is a destination or a pass-through.

04

Benchmarking vs competing properties

Compare foot traffic at your asset with nearby competing properties to see where it ranks in its market.

What a commercial real estate data report shows

A sample foot traffic profile for one property and its nearest competitor.

Weekly visits and year-over-year change

01

Weekly visits and year-over-year change

Weekly visit counts for the property over time. Year-over-year change shows whether traffic is building or fading, separate from seasonal swings.

Where visitors come from

02

Where visitors come from

The areas that send visitors to the property. A wide catchment supports leasing and valuation discussions; a narrow one flags reliance on local demand.

Property vs nearest competitor

03

Property vs nearest competitor

Foot traffic, dwell time and visit frequency at the asset set against a competing property, ready to drop into an investment committee pack.

Commercial property foot traffic data across the US

Huq covers any address in the United States: shopping centers, main streets, downtowns, strip malls, competitors' stores and sites you haven't opened yet. No counters, sensors or cameras needed.

Huq manually validates more than 1,000 locations in each of its 35 markets twice a year, and data refreshes weekly.

How it works

Step 1

Tell us your locations

Add up to five addresses in the form. Your own stores, candidate sites or competitors.

Step 2

We run the analysis

Our team maps each location from observed visitor data.

Step 3

We walk you through it

A short call to take you through what the data shows and what it means for you.

Why property teams add Huq to their commercial real estate data

  • Huq publishes its accuracy by country: a 19.5% median error across published markets, against a 30% healthy threshold.
  • Huq's customers give it an NPS of 42.
  • Trusted by 300+ organizations across 35 markets, including the global insights, research and location intelligence teams at Nike, Adidas, JD Sports and Samsung.

huq's platform gave us valuable data to support a key decision on potential new sites.

Dan Brogden

National Sales Manager, Puccinos

Who it's for

01

Retail chains of any size

From five-store retailers planning their next site to national brands: choose locations, track store performance and benchmark against competitors.

02

Retail real estate owners

Show shopping center performance, support leasing and get the tenant mix right, for landlords, asset managers and brokers.

03

Investors and private equity

Check how retail brands and assets actually perform before you buy, and monitor them after.

Everything Huq measures, in one platform

  • Foot traffic: by week, month and year, with totals, average daily foot traffic, trends, period-over-period change, and visiting vs passing traffic.
  • Residents and visitors.
  • Trade area and travel time: trade areas by ZIP code, plus drive-time and travel-time analysis.
  • Demographics and profiling: age, gender and purchasing power, available in selected markets.
  • Behavior: visit frequency, dwell time, time of day and dayparts, cross-visitation between up to 10 location pairs, and international visitation for tourism.
  • Foot traffic density and transportation mode.
  • Places, brands and industries: points of interest, brand locations and brand analysis, industry performance, shopping center and retail center types.
  • Geo-spend: spend by volume and category, available in selected markets.
  • Tools: the Explore map (draw any area or use layers for travel time, trade areas, shopping centers, retail centers, brand locations, industries and ZIP codes), White Space Analysis, and Projects for monitoring many locations and reporting to stakeholders.
  • Delivery: the platform, CSV or Excel exports, monthly PDF location reports, and data feeds as Parquet and CSV files into Amazon S3 or Google Cloud Storage buckets.
  • Cadence: data refreshes weekly.

Frequently asked questions

Who offers the best commercial real estate trend data?

It depends on the trend. Listings, transactions and rent trends come from property databases and brokerage research teams. Foot traffic trends, showing whether visits to a property are rising or falling, come from location data providers such as Huq. Most teams combine both. Ask any provider how its data is validated and test it on an asset you know.

Does Huq provide listings, comps or ownership data?

No. Huq is not a listings, transactions or property records database. It provides location data: foot traffic, residents versus visitors, catchment and drive time, dwell time and density at any address, with geo-spend in selected markets. Most teams use it alongside their existing commercial property data sources rather than instead of them.

How do I get commercial real estate data?

For listings, comps and ownership, use property databases, public records and broker research. For foot traffic, Huq offers a self-serve platform with the Explore map and Projects, CSV and Excel exports and monthly PDF location reports. Technical teams can take data feeds: Parquet or CSV files delivered into Amazon S3 or Google Cloud Storage.

What's in the free commercial real estate data report?

A foot traffic profile for one property you own, are underwriting or are leasing, plus its nearest competitor. It covers weekly visit trends, where visitors come from, dwell time and visit frequency, so you can see how the data fits your process.

How often is the data updated?

Weekly. Each update adds to the trend, so you can track an asset's performance through a hold period, or compare it with the same weeks last year to separate a real change from seasonality.

Which US properties can Huq measure?

Any address across the US, including properties you don't own and competitors' assets. No sensors, cameras or hardware are needed. Huq covers 35 markets and manually validates more than 1,000 locations in each twice a year, so you can compare US assets with holdings elsewhere on the same basis.

Questions? Talk to us

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About Huq

Huq is a location intelligence company. We turn anonymised mobile location data into footfall, catchment and visitor insight for any place, so retailers, property owners and local authorities can make decisions on evidence.

More about Huq
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