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Visitor origin analysis
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United States
Geodemographic segmentation, plus where visitors come from
Segment systems describe the households in each neighborhood. Huq shows which neighborhoods actually send visitors to your US locations, every week.
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Up to 5 locations. No cost, no commitment.
We handle your details in line with the CCPA and applicable US state privacy laws.
Geodemographic segmentation tells you what kind of households sit in each neighborhood. It does not tell you which of those neighborhoods actually send people to your store. Huq adds that behavioral layer for any US address: where visitors come from, residents versus visitors, how often people return and how long they stay, measured weekly. In selected markets it also profiles visitors by age, gender and purchasing power. Start with a free visitor origin analysis for one location.
Apply geodemographic segmentation to real visitors in Huq
The overview shows the Huq platform: the Explore map, its map layers and the metrics each area returns. For geodemographic segmentation, look at the catchment and ZIP code layers, which show the areas that send visitors to a location, and the residents versus visitors split. Those areas are what you match against your segment system. CSV or Excel exports, or Parquet and CSV data feeds, bring the results into your own tools.
- Catchment and ZIP code layers: show which neighborhoods send visitors, ready to join to PRIZM, Tapestry or your own segments.
- Residents vs visitors: separates the people who live around a location from those who travel to it.
- Demographic profiling: age, gender and purchasing power for residents and visitors, available in selected markets.
Trusted by 300+ organisations · Data across 35 markets
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What is geodemographic segmentation?
Geodemographic segmentation groups people by the neighborhood they call home, on the premise that people in the same neighborhood tend to resemble one another. Systems such as Claritas PRIZM and Esri Tapestry classify US neighborhoods into lifestyle segments, mostly built from census data with cluster analysis. Marketers use them to profile customers, size target markets and decide where to advertise or open.
The limitation is that segments describe residents, not visitors. A store draws heavily from some neighborhoods and barely touches others, and a segment map alone cannot show which. Visitor origin data fills that gap, so you can apply your segment system to real visitors rather than a fixed radius.
Huq provides that behavioral layer: visitor origin, catchment and drive time, residents versus visitors, visit frequency and dwell time. In selected markets it adds demographic profiling and geo-spend by category. It is not a census segmentation system like PRIZM or Tapestry.
What's in your visitor origin analysis
01
Visitor origin map
See the neighborhoods your visitors travel from, ready to match against the segmentation system you already use.
02
Catchment and drive time
Find the areas that supply most of a location's visits and how far visitors travel, instead of assuming a radius.
03
Visit frequency and dwell time
How often visitors return and how long they stay, so you can tell a loyal local base from occasional trips.
04
Residents vs visitors
How much of an area's traffic comes from people who live there and how much travels in.
What a visitor origin analysis shows
A sample analysis for one location, built from weekly visit data. Here is what each view tells you and how teams use it alongside a segment system. Huq manually validates more than 1,000 locations in each of its 35 markets twice a year.
01
Heatmap of where visitors come from
Darker areas send more visitors. Match them against your PRIZM or Tapestry segments to see which segments actually visit, not just which ones live nearby.
02
Real catchment compared with a simple radius
The primary catchment often looks nothing like a 3-mile ring. Profiling the real catchment gives a truer picture of the customers a location serves.
03
Residents vs visitors, frequency and dwell
Read alongside segments, these views separate regular local trips from occasional destination visits, and show how much traffic comes from outside the area.
Visitor origin data for any US location
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 teams pair geodemographic segmentation with Huq
- 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
What is geodemographic segmentation?
Geodemographic segmentation groups people by the neighborhood they live in, on the premise that neighbors tend to resemble one another. Systems such as Claritas PRIZM and Esri Tapestry classify US neighborhoods into lifestyle segments. Huq adds which areas actually send visitors to each location, so you can apply those segments to real visitors rather than a fixed radius.
How is geodemographic segmentation different from demographic segmentation?
Demographic segmentation groups individuals by traits such as age or income. Geodemographic segmentation groups neighborhoods, assuming that neighbors tend to share characteristics. It combines location with census-style data, which makes it useful for site and media planning, but it cannot show who actually visits a location.
Does Huq provide visitor demographics?
In selected markets, Huq profiles residents and visitors by age, gender and purchasing power, and adds geo-spend by category; availability varies by market. Alongside that it provides the behavioral layer: where visitors come from, catchment and drive time, residents versus visitors, how often people visit and how long they stay. Many teams also apply their existing PRIZM or Tapestry segments to Huq's visitor origin data.
What do I get in the free visitor origin analysis?
Pick one US location, yours or a competitor's. We send a visitor origin analysis showing where its visitors come from, its primary and secondary catchment, residents versus visitors, visit frequency and dwell time. It is free, and there is no hardware to install or customer data to share.
How often is Huq data updated?
Weekly. Each new week is added to the history, so you can see how a catchment shifts after a competitor opens, a store is remodeled or the season changes, rather than relying on a segment update that comes once a year.
Which locations does Huq cover in the US?
Huq covers stores, shopping centers, main streets and other addresses across the US, and works in 35 markets worldwide, manually validating more than 1,000 locations in each market twice a year. No sensors, cameras or hardware are needed, so you can analyze any address, including competitor sites, on the same basis.
Questions? Talk to us
Book a demoAbout 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.
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Up to 5 locations. No cost, no commitment.