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The 10 best foot traffic data providers in the US (2026)
Huq is our product. Here's how we compared everyone, including us.
Foot traffic data providers measure how many people visit a place, when they come, how long they stay and where they travel from. This guide compares ten foot traffic data providers serving US buyers in 2026, from self-serve dashboards to raw data feeds.
Location data providers estimate visits to any address, including competitor sites, without hardware, while door-counter vendors install sensors or cameras to count people at sites you control. This list covers the first group. Good providers are clear about coverage, refresh, history and validation. We left out SafeGraph, which stopped selling foot traffic data in 2023 after Advan bought its Patterns business.
Buyers include retail and restaurant real estate teams, landlords, investors, brands measuring marketing and local government. We wrote this list and Huq is ranked first, as the pick for branded retail chains, retail property owners and investors evaluating retail brands and assets, because it pairs foot traffic with the broadest set of location data across 35 markets. Every entry lists pros and cons, with links to sources.
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Quick answer
For branded retail chains, retail property teams and investors, start with Huq, built to give the broadest set of location data across 35 markets. For a US-only visit dashboard, try Placer.ai; for quant-grade foot traffic and spend datasets, Advan; for raw visit files, Veraset.
Foot traffic data providers compared
What each provider is best for, where it covers, the level of detail it reports and what stands out.
In this guide
How we evaluated
- Accuracy and validation: whether the provider publishes tests against door counts or reported sales, and the method.
- Coverage: the US, other markets you operate in, and the place types covered.
- Data depth: visits only, or catchment, dwell, frequency and cross-visitation too.
- Refresh and history: how often data updates and how many years you get.
- Access: dashboard, data files or API, and how much your team has to build.
The best foot traffic data providers for US buyers
1. Huq: best for branded retail chains, retail commercial property teams, and investors and private equity evaluating retail brands and retail assets.
Most foot traffic data providers sell visit counts. Huq is built to give you the broadest set of location data around those counts, across 35 markets including the US, from one provider. Foot traffic comes by week, month and year: total and average daily foot traffic, trends, period-on-period change, and visiting versus passing traffic. Every area also separates residents from visitors, maps catchment and supports drive-time and travel-time analysis, for any address, including competitor sites, with no hardware.
Behind the counts sit behavior metrics: visit frequency, dwell time, time of day, cross-visitation between locations and international visitation for tourism. Huq also measures footfall density and transportation mode, and covers POIs, brand locations and brand analysis, industry performance and shopping center and retail center types. Demographics (age, gender, purchasing power) and geo-spend by volume and category are available in selected markets.
Huq manually validates more than 1,000 locations in each market twice a year, and data refreshes weekly. Commercial teams work in the Explore map and Projects, export to CSV or Excel and receive monthly PDF location reports. Data teams take feeds instead: Parquet and CSV files delivered into Amazon S3 or Google Cloud Storage. As supporting evidence, Huq's own validation study found its visit data tracked Walmart's quarterly US net sales with 0.85 correlation and 3.8% error.
Pros
- Foot traffic plus the context around it: residents vs visitors, catchment, drive time, behavior, density, transport mode, brands and industries
- 35 markets, with more than 1,000 locations manually validated in each market twice a year
- Measures any address, including competitor sites, with no hardware or site access
- Platform and Parquet and CSV data feeds into Amazon S3 or Google Cloud Storage from the same dataset
- Monthly PDF location reports compare each site with prior months, prior years and regional and national benchmarks
Cons
- Newer to the US than US-native vendors such as Placer.ai and Advan
- Demographics and spend are available in selected markets only, so check availability for each market you need
- Delivers data feeds (Parquet and CSV into S3 or GCS) rather than an API, so teams wanting on-demand API calls work from files instead
2. Placer.ai: best for US-only teams that want a widely used foot traffic dashboard with add-on datasets.
Placer.ai (Placer Labs Inc.) is a US foot traffic analytics company with 4,000+ customers across retail, commercial real estate, local government, CPG, restaurants, finance and advertising. It estimates visits from a mobile location panel of tens of millions of devices and uses machine learning to extrapolate them to properties, chains, markets and regions, drawn on property-level polygons. Teams work in the analytics dashboard, with CSV, PDF and SHP exports, call the API, or take data feeds through the Placer Marketplace, Snowflake and AWS. A Data Marketplace layers on partner datasets such as sales estimates, demographics, business counts and consumer expenditure. Coverage is the United States only.
Placer is the most widely known name among US foot traffic data providers. Placer says its correlations against first-party and authoritative sources consistently exceed 90%, without publishing the full method, and it hides locations with fewer than 50 unique devices for privacy. A freemium version and free tools such as Chain Analysis offer a low-cost start. Huq's foot traffic covers 35 markets with weekly refresh, and 1,000+ locations are manually validated in each market twice a year.
Pros
- Established US platform with 4,000+ customers across retail, CRE, government and finance
- Dashboard, API and data feeds through Snowflake and AWS from one vendor
- Data Marketplace adds sales estimates, demographics and consumer expenditure
- Freemium version and free tools such as Chain Analysis
Cons
- Covers the US only, so international portfolios need a second provider
- Locations with fewer than 50 unique devices are hidden, which can limit small or low-traffic sites
- Reports correlations above 90% against first-party sources without publishing the full method
- Full access is a custom subscription; a Capterra reviewer calls it "expensive but worth the cost"
3. Advan Research: best for quant and alternative-data teams that want US foot traffic and card spend together.
Advan Research is a New York alternative-data company founded by former hedge fund and fintech people. It sells foot traffic and card-spend data to hedge funds and institutional investors, REITs, corporates and the public sector. After buying SafeGraph's Patterns business in November 2022, its Weekly Patterns+ dataset became the successor to SafeGraph Patterns: POI-level visits for each Monday-to-Sunday week across the US and Canada, delivered on Wednesdays, with history from January 2018. Neighborhood Patterns+ reports at census block group level, and SpendView adds weekly US consumer spend. Raw files ship by FTP, AWS S3 and Google Cloud, and the FIT, REI and REVEAL dashboards serve people who prefer a screen.
Advan belongs on a foot traffic list as the successor to SafeGraph Patterns, which many existing models still expect. Weekly Patterns+ adds 168 hourly visit counts per week and monthly backfills, and Advan won Best Alternative Data Provider at the Inside Market Data awards in 2020. Its headline figures include 9M+ POIs and 10,000+ brands. Huq's foot traffic spans 35 markets, with catchment, dwell and cross-visitation in its platform or as Parquet or CSV feeds.
Pros
- Weekly Patterns+ history from January 2018, the longest on this list
- Card spend from 120M+ cards alongside foot traffic
- 168 hourly visit counts per week for daypart analysis
- Raw files plus FIT and REVEAL dashboards
Cons
- Built for analysts and quants more than business users
- Coverage is US-focused; Weekly Patterns+ adds Canada
- Weekly Patterns+ applies no dwell-time filtering, so check how visits are defined
4. Unacast: best for data and product teams that want US visitation data through APIs or bulk delivery.
Unacast is a location data company headquartered in Ashburn, Virginia, with Norwegian roots, and it merged with Gravy Analytics in late 2023. It sells global mobility data, US foot traffic data, consumer data enrichment and data linkages that connect mobile ad IDs to hashed emails and IPs. The Area Visitors, Observations, Trade Areas and Personas APIs serve product and data teams, and bulk data can be scheduled into a warehouse or data lake. US visitation datasets cover weekly, monthly and quarterly foot traffic, dynamic trade areas and cross-visitation, built from origin ZIP code and census block group. In December 2025 Unacast raised $28M from Vector Capital.
Unacast is on this list for data teams that want US foot traffic as a licensed dataset: it is sold as a yearly license, delivered as CSV to Amazon S3, with a free sample. Weekly data has a 4-day lag and history from October 2018. In January 2025 the FTC finalized an order restricting Gravy Analytics' use of sensitive location data and requiring deletion of some historic data. Huq offers weekly foot traffic across 35 markets, in a platform or as feeds.
Pros
- Weekly release with a 4-day lag and US history from October 2018
- Trade area and cross-visitation datasets alongside visit counts
- Hourly to monthly trends through the Area Visitors API
- Free sample available for the US dataset
Cons
- Data and API first, so your team builds the analysis and visuals
- Visitation datasets cover the US; other markets are raw mobility data
- The January 2025 FTC order against Gravy Analytics means buyers should ask how it affects the data they license
5. Veraset: best for data science teams that want raw visit and movement files to model in-house.
Veraset is a raw mobility data provider for teams that build their own models. Its datasets are Movement (device-level and aggregated location pings), Visits (device visits to 4M+ points of interest, with dwell), Home & Work (inferred home and work locations), Trips (origin-destination journeys) and MATCHLINK, which links devices to emails, IPs and households. Veraset cites about 300 million devices, around 10 billion location pings a day and coverage in 200+ countries. Files are delivered to Amazon S3 or Google Cloud, or by API, and its Orchestrator tool adds a self-serve way to run location workflows. Buyers span advertising, retail, financial services, real estate, transportation, government and academic research.
Veraset belongs among foot traffic data providers as the rawest option on this list: you get visit records to aggregate, validate and analyze yourself. Its Trips dataset cites 100+ million trips observed per month, and the United Nations appears among its logos. History depth and refresh cadence aren't stated on its homepage. Huq delivers foot traffic already aggregated into weekly footfall, catchment, dwell and visit frequency, in its platform or as Parquet or CSV files.
Pros
- Visits dataset for 4M+ POIs, including dwell
- Movement, Visits, Home & Work and Trips datasets from one vendor
- Flat files to S3 or Google Cloud, plus APIs
- Orchestrator self-serve tool for automating workflows
Cons
- Data only, so you need your own team and tools to turn files into answers
- 200+ country coverage is a vendor claim
- History depth and refresh cadence aren't stated on its homepage
6. pass_by: best for teams that want US retail visit and spend data delivered into their warehouse or BI stack.
pass_by is a London-based retail market intelligence company focused on US retail. Its Almanac platform combines visits, spend, trips and trade areas for brands and markets, and AI Retail Agents answer market questions inside the tools teams already use. Its US visit data covers about 93% of US branded retail POIs, or 1.31M locations across 7,080 brands, with history from January 2019. Feeds & API deliver the same data to Amazon S3, Snowflake, BigQuery and Databricks or through an API. pass_by self-reports a 94% correlation to ground truth and says it serves 15+ datasets to 100+ retailers, with ALDO Group among its named customers.
pass_by earns a place among foot traffic data providers by publishing its US coverage, about 93% of branded retail POIs, and by pairing visits with spend. It describes its approach as multi-source, combining movement, spend and behavioral signals, and its 94% correlation figure is self-reported. A 24-hour free trial lets you test it on known stores. Huq's foot traffic covers 35 markets, with 1,000+ locations manually validated in each market twice a year.
Pros
- About 93% coverage of US branded retail POIs (1.31M locations, 7,080 brands)
- Visits, spend and trade areas in one product
- Feeds to S3, Snowflake, BigQuery and Databricks, plus an API
- 24-hour free trial
Cons
- Focused on branded retail POIs, so check coverage for other place types
- Its 94% correlation to ground truth is self-reported
- Coverage outside the US isn't stated on its homepage
7. Azira: best for marketers who want visitation insights tied to audiences and campaign measurement.
Azira is a location intelligence and marketing platform based in Pasadena, California. Azira Insights covers analytics, reports and custom data feeds; Audience builds segments from real-world visits and purchase behavior; Campaigns runs media across desktop, mobile, CTV, audio and digital out-of-home; and Measurement tracks incremental foot traffic and conversions. Azira One, launched in September 2026, is a conversational AI layer for asking location questions in plain language. Azira cites 13 trillion mobility signals, 35.6 billion consumer transactions and 43M POIs, with solutions supported in 44 countries. It serves automotive, hospitality, media, real estate, restaurants, retail and travel, with brands such as Ford, McDonald's and Decathlon.
Azira belongs on a foot traffic list because Measurement tracks incremental foot traffic driven by campaigns, which makes it strongest when you want to tie store visits to the media that drove them. G2 reviewers rate it 4.6 out of 5. Its refresh cadence isn't stated on its homepage. Huq is built for the location side: weekly footfall, catchment, dwell and cross-visitation for any address across 35 markets, aimed at retail chains, landlords and investors.
Pros
- Visitation insights linked to audience building and campaign measurement
- 43M POIs across 44 countries
- Azira One conversational AI assistant
- Custom data feeds alongside the SaaS platform
Cons
- Built mainly for marketing teams, so check how it fits site and portfolio work
- Refresh cadence isn't stated on its homepage
8. Echo Analytics: best for data teams that want footfall, catchment and cross-visitation datasets for Europe and the US.
Echo Analytics is a geospatial data provider that sells location datasets rather than an analysis dashboard. Places covers points of interest and Shapes covers commercial building footprints, with a claim of 80M+ locations worldwide and 95%+ polygon coverage. On top sit insight datasets: Footfall in and around POIs, Catchment Area (where visits come from), Cross-visitation (visits shared between POIs), GeoPersona audience segments and Travel Patterns (home and work locations near POIs). Its Datarade listings span Europe and the US. Data arrives as files with APIs and public documentation, and partners such as CARTO and Esri handle visualization for retail, adtech, FMCG and consulting buyers.
Echo is on this foot traffic list for data teams that want footfall, catchment and overlap as ready-made datasets rather than raw pings. A free sample of Places data is available, and footfall datasets range from 5 to 33 countries by product. Its homepage doesn't state refresh frequency. Huq covers similar ground with weekly footfall, catchment and cross-visitation across 35 markets, and adds its own platform alongside Parquet or CSV feeds into S3 or Google Cloud Storage.
Pros
- Footfall, catchment and cross-visitation as ready datasets
- Places and building Shapes data from the same vendor
- 80M+ locations and 95%+ polygon coverage (vendor claim)
- Free sample of Places data
Cons
- Data first; you need partner tools such as CARTO or Esri to visualize it
- Country coverage ranges from 5 to 33 depending on the product
- Refresh frequency isn't stated on its homepage
9. MyTraffic: best for teams with mainly European locations that want footfall data through an AI assistant.
MyTraffic is a Paris-founded footfall and location intelligence platform, now in one group with Geoblink. It measures footfall, profiles visitors and maps catchments, and its AI assistant, Gini, built on both companies' software experience, answers geospatial questions in plain language. DataLibrary sells alternative data, AudienceLabs links digital advertising to in-store visits, and SmartMonitor tracks shopping center performance. MyTraffic lists 18 countries, mostly in Europe plus the United States, where Gini is live in New York, Texas and Massachusetts. It says 600 companies across Europe use it. Delivery is a SaaS platform with onboarding, training and consultants, and client stories include Five Guys, GOIKO and outlet operator Advantail.
MyTraffic belongs among foot traffic data providers as a European footfall specialist; it publishes its own list of providers in Europe. It claims 10M locations analyzed with 10-meter accuracy, a self-reported figure, and US availability covers three states so far. For US buyers today, it is most relevant to teams that also operate across Europe. Huq also measures footfall and catchment, across 35 markets, with weekly refresh and Parquet or CSV feeds.
Pros
- Gini AI assistant answers location questions in plain language
- Footfall, visitor profiling and catchment mapping in one platform
- 18 countries listed, mostly in Europe
- Dedicated onboarding, training and consulting
Cons
- US availability covers three states so far
- Customer base is mainly European
- Its 10-meter accuracy claim is self-reported
10. Cuebiq: best for brands and agencies that want to measure how campaigns drive store visits.
Cuebiq is a New York location intelligence company serving brands, agencies and research institutions. Footfall Measurement shows how ad campaigns affect store visits, with regional comparisons down to the location level, and Audiences uses location data to target and optimize ads. For public sector and academic teams it builds custom datasets on mobility, public health and crisis response. Clients use a dashboard, an API and a data platform documented as Spectus, which Cuebiq's leadership spun out in 2022 as a geospatial data clean room where only aggregated outputs can be exported. Cuebiq leads with privacy, holding a TRUSTe seal and NAI membership, and its logos include The Trade Desk, Johns Hopkins University and Cornell University.
Cuebiq is the campaign measurement specialist on this foot traffic list: its strength is showing which ads drove store visits. Its homepage doesn't state geographic coverage or refresh cadence, so confirm both for your markets. The status of the Spectus clean room is unclear now that spectus.ai redirects to cuebiq.com. Huq is built for judging places rather than campaigns, with weekly footfall, catchment, dwell and visit frequency across 35 markets.
Pros
- Footfall Measurement links campaigns to store visits
- API, dashboard and clean-room data platform
- Custom datasets for academic and public sector research
- TRUSTe privacy seal and NAI membership
Cons
- Built for marketing measurement more than site selection or portfolio work
- Its homepage doesn't state geographic coverage or refresh cadence
How to choose a foot traffic data provider
Platform or raw data?
Raw data suits teams with data engineers and their own models. A platform suits teams that need answers about specific sites. Some providers, Huq included, offer both from the same data.
Ask how accuracy was tested
Ask for accuracy against door counts or reported sales, the country of each test, and how the vendor handles low-traffic sites. A correlation figure with no method is hard to compare.
Check refresh and history
Weekly data is enough for most site, portfolio and benchmarking decisions. Check how many years of history you get for year-over-year comparisons.
Know when you need counters too
Door counters give exact counts at your own entrances. Location data covers any address, including competitors. Many retailers use both.
Frequently asked questions
Who provides US foot traffic benchmarking data?
Several providers do. Huq benchmarks any US area against your network, competitors and regional and national trends, refreshed weekly, with footfall by week, month and year, residents vs visitors, catchment, behavior, density, brands and industries. Monthly PDF location reports compare each site with prior months and years. Placer.ai, Advan and pass_by also offer US visit data. Check benchmarks use one method everywhere.
What is the most accurate foot traffic data?
No provider is most accurate everywhere, so ask how each one validates. Huq manually validates more than 1,000 locations in each of its 35 markets twice a year, and reports 81.9% accuracy in GB and 85.5% in Germany. Placer.ai reports correlations above 90% and pass_by self-reports 94%; ask each vendor for its method and test markets.
How do I get foot traffic data?
You can buy it as a dashboard subscription, as data files delivered to your cloud storage, or through an API from some vendors. Huq offers its Explore map and Projects, CSV or Excel exports, monthly PDF location reports and Parquet or CSV feeds into Amazon S3 or Google Cloud Storage, plus a free analysis of a US location. Placer.ai has a freemium version, and pass_by a 24-hour free trial.
How is foot traffic data collected?
There are two main approaches. Location data providers estimate visits to any address, including competitor sites, with no hardware at the site. Counter vendors install devices such as cameras, WiFi sensors, break-beam or thermal counters at entrances. SafeGraph's guide lists eight collection methods in total.
Where can I get 24-hour foot traffic data sets?
Several providers break visits down by hour. Advan's Weekly Patterns+ includes 168 hourly visit counts per week, and Unacast's APIs return hourly trends. Huq reports time of day and dayparts for any US area, refreshed weekly, alongside dwell, frequency, residents vs visitors and catchment. These patterns help with staffing, opening hours and comparing a site's busy periods with nearby competitors.
Do I need foot traffic software or just the data?
Teams with data engineers and existing models may only need raw data from Veraset, Unacast or Advan. If you need answers about specific sites, software saves build time. Huq offers both from one dataset: footfall, residents vs visitors, catchment, behavior, density, brands and industries, in the Explore map and Projects or as Parquet and CSV feeds into S3 or GCS.
Questions? Talk to us
Book a demoSources
- Huq: platform
- Huq: Walmart sales validation study
- Huq: cross-visitation
- Huq: data feeds
- Placer.ai
- Placer.ai: FAQ
- Placer.ai: pricing
- Placer.ai: data delivery methods
- Advan Research
- Advan Research: data dictionaries
- Advan Research: SafeGraph Patterns acquisition
- SafeGraph: Weekly Patterns retirement
- SafeGraph: foot traffic data providers guide
- Unacast
- Unacast: foot traffic data
- Unacast: visitation datasets
- FTC: final order against Gravy Analytics and Venntel
- Veraset
- pass_by
- pass_by: foot traffic data providers
- pass_by: Placer.ai alternatives
- Datarade: pass_by US visit data
- Azira
- PPC Land: Azira One launch
- Echo Analytics
- Datarade: Echo Analytics foot traffic
- MyTraffic
- MyTraffic: best foot traffic data providers in Europe
- Cuebiq
- Spectus: data clean room announcement
- Capterra: Placer.ai reviews
- Unacast: about
- Datarade: Unacast US foot traffic data
- Business Wire: Unacast financing from Vector Capital
- Business Wire: Advan acquires RetailStat REI
- Advan Research: 2020 award
- G2: Azira
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.
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