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Consumer behavior data analysis
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United States
Consumer behavior data for physical places in the US
Weekly data on where people go, how often they return, how long they stay and which places they visit together. No hardware needed.
Get a free analysis of your locations
Up to 5 locations. No cost, no commitment.
We handle your details in line with the CCPA and applicable US state privacy laws.
Consumer behavior data usually means online browsing, purchase records or survey answers. Huq covers what people do in the physical world: where they go, how often they return, how long they stay and which places they visit together, for any US address, updated weekly. In selected markets it adds demographic profiles and geo-spend. Use it in the Huq platform or take it as data feeds. Start with a free analysis of one location or a small set.
See how Huq measures consumer behavior data
The overview walks through the Huq platform: the Explore map, the behavior metrics each area returns, Projects for monitoring many locations, and exports. For consumer behavior data, watch for visit frequency, dwell time, time of day and cross-visitation, which describe how people use a place rather than just how many arrive. Analysts who prefer their own tools can take the same metrics as data feeds.
- Frequency, dwell time and dayparts: separate loyal regulars from one-off trips and show when each group visits.
- Cross-visitation: shows which other places the same visitors go to, for up to 10 location pairs at once.
- Data feeds: Parquet and CSV files delivered into your Amazon S3 or Google Cloud Storage bucket, ready for models and BI tools.
Trusted by 300+ organisations · Data across 35 markets
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What is consumer behavior data?
Consumer behavior data records what people do, prefer and decide as shoppers. It comes in several types: transaction and purchase records, online clickstream, survey and household research, and foot traffic data from physical places. Each answers a different question, and most providers specialize in one.
Huq does not provide online, survey or individual purchase data. It covers physical-world behavior: visits to stores, centers, main streets and other places, how long people stay, how often they come back, what time of day they visit, where they travel from and which other places they also visit. In selected markets it adds demographic profiling and geo-spend by volume and category. Huq manually validates more than 1,000 locations in each of its 35 markets twice a year.
Teams use it to choose sites, track store and competitor performance, check whether an opening or campaign changed visits, and add an offline signal to models that already hold online or sales data.
What's in your consumer behavior data analysis
01
Weekly visit trends
Weekly visits to each location, with history so you can compare this year against last.
02
Frequency, dwell and dayparts
How often visitors return, how long they stay and which times of day they come.
03
Visitor origin and drive time
Where visitors travel from and how far, mapped as primary and secondary catchment areas.
04
Cross-visitation
Which other locations the same visitors go to, for up to 10 location pairs at once.
What a consumer behavior data analysis shows
A sample analysis for a set of locations. If you want the numbers in your own tools, the same metrics arrive as Parquet or CSV data feeds in your Amazon S3 or Google Cloud Storage bucket.
01
Weekly visits over time
The trend line shows how visits move week to week and against last year, so you can spot changes before quarterly results arrive.
02
Repeat visits and time on site
Frequency and dwell side by side show whether a location relies on loyal regulars or one-off trips.
03
Shared visitors between locations
The cross-visitation matrix shows the share of visitors two locations have in common, useful for competitor and co-tenancy questions.
Offline behavior across the US, updated weekly
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 choose Huq for offline behavior 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
What is real-world consumer behavior data?
Real-world consumer behavior data describes what people do in physical places rather than online. Huq measures visits to stores, centers, main streets and other places, how long people stay, how often they return, where they travel from and which other places they also visit. It sits alongside clickstream and survey data, which Huq does not provide; geo-spend by category is available in selected markets.
How do you analyze consumer purchase behavior data?
Start with a clear question, then segment purchases by store, time period and customer group and compare trends. Huq does not hold individual purchase records, but its visit data adds the context sales figures miss: whether a drop came from fewer visits, shorter stays or fewer repeat trips, and how competitor stores moved. In selected markets, geo-spend by category adds a location-level spend view.
How is Huq data delivered?
Three ways. Work in the Huq platform with the Explore map and Projects; export CSV or Excel files and monthly PDF location reports; or take data feeds, with Parquet and CSV files delivered into your Amazon S3 or Google Cloud Storage bucket. Feed schemas match the platform exports, so the numbers drop straight into BI tools and models.
What is in the free analysis?
Choose one US location or a small set, including competitor sites. We send a sample analysis with weekly visits, dwell time, visit frequency, visitor origin and cross-visitation between the locations. It is free and needs no hardware or data from you.
How often is the data updated?
Weekly. Each new week is added to the history, so you can follow trends as they build, compare against the same week last year and see the effect of openings, closures or campaigns without waiting for a quarterly report.
Which places does Huq cover in the US?
Any address across the US, including stores, shopping centers, main streets and other venues. Huq works in 35 markets and manually validates more than 1,000 locations in each market twice a year. No sensors, cameras or hardware are needed, so your own sites and competitor sites are measured 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.
See how your locations really perform
Up to 5 locations. No cost, no commitment.