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The 8 best Placer.ai alternatives in 2026
Huq is our product. Here's how we compared everyone, including us.
Placer.ai is a US foot traffic dashboard. It estimates visits to places from a mobile location panel and sells a dashboard, data feeds and a marketplace of partner datasets, covering the United States only.
Teams look at Placer.ai alternatives for a few reasons. Pricing isn't published. Some users want more openness about methodology, or note that sites with fewer than 50 unique devices are hidden. Others need coverage outside the US.
The alternatives fall into groups. Huq is the self-serve location intelligence platform for retail expansion and site selection, retail real estate and investors, and local governments, councils and BIDs, across 35 markets with accuracy published by market. Advan, Unacast and pass_by sell raw data and feeds for data teams to model. Azira packages location data for marketing campaigns. MyTraffic is a footfall dashboard focused on Europe. Esri Business Analyst is a GIS toolkit, and Audiense (formerly Buxton) is a site scoring firm that pairs software with consulting. Huq wrote this list and ranks itself first. Sources for every fact are listed at the end of the page.
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Quick answer
For retail expansion and site selection, retail real estate and investors, and local governments and BIDs, choose Huq: a self-serve platform across 35 markets, including the US, with accuracy published by market. If you only want a raw US data feed to model yourself, Advan sells data to analyst teams.
Placer.ai competitors compared at a glance
How the main Placer.ai alternatives differ on what they are, coverage and level of detail.
In this guide
How we evaluated
- Self-serve without specialists: whether expansion, real estate and local government teams can answer their own questions without data engineers, GIS analysts or a consultant.
- Published accuracy: whether the vendor publishes validation by market, and against what.
- Coverage across markets: which countries and location types the data covers, measured the same way.
- Data refresh: how often data updates and how much history is available.
- Delivery: platform, data feeds, or a mix, and how well each fits your team.
- Fit for site, property and place decisions: catchment, dwell, visit frequency, competitor benchmarking, and for local governments and BIDs, measuring interventions against comparable places.
The best Placer.ai alternatives, reviewed
1. Huq: best for retail expansion and site selection teams, retail real estate owners and investors, and local governments and BIDs.
Placer.ai covers the US only. Huq covers 35 markets, the US included, measured the same way. Huq is the self-serve location intelligence platform built for three groups: retail brands choosing where to open, from global chains to teams with five stores; retail and commercial real estate landlords, owners, asset managers, investors and private equity assessing retail brands and assets; and local governments, city councils and business improvement districts (BIDs) tracking economic development and regeneration. Teams answer their own questions in the Explore map, Projects and portfolio dashboards, with no consultant or GIS team needed.
Accuracy comes first. Huq manually validates more than 1,000 locations in each of its 35 markets twice a year and publishes accuracy by country as MAPE against landlord-reported footfall: 19.5% across published markets, where under 30% is considered healthy. One uniform method runs across every market, including the US, so sites compare directly across borders, and data refreshes weekly.
For any candidate site, competitor or town center, you get footfall by week, month and year (total and average foot traffic, trends, period-on-period change, visiting versus passing traffic), residents versus visitors, and catchment, at ZIP code level in the US, with drive-time and travel-time analysis. Behavior covers visit frequency, dwell time, time of day, cross-visitation with your existing stores and international visitation for tourism. Footfall density, transportation mode, POIs, brand locations and brand analysis, industry performance and shopping center and retail center types show what surrounds a site, and White Space Analysis maps pedestrian flow across city grids. Demographics (age, gender, purchasing power) are available in selected markets, and geo-spend by volume and category in the UK.
Local governments and BIDs use the same measures to check whether policies, events and interventions are working, benchmarked against comparable places. Projects tracks shortlisted sites from not started to closed. Results go to committees, boards and landlords as CSV or Excel exports and monthly PDF location reports, or to data teams as Parquet and CSV feeds into Amazon S3 or Google Cloud Storage.
Clients include the global insights, research and location intelligence teams at Nike, Adidas, JD Sports and Samsung, among 300+ organizations, and Huq's NPS is 42. JD Sports reported 25% more precise catchment analysis and 18% lower new-store location risk using Huq. In the UK, Ripon BID uses Huq and saw footfall up 164% year on year.
Pros
- Self-serve: expansion, real estate and local government teams answer their own questions without a consultant or GIS specialist
- Accuracy published by country as MAPE, with 1,000+ locations validated in each market twice a year
- One uniform method across 35 markets, including the US, for cross-border expansion and benchmarking
- The broadest picture in one platform: footfall, residents vs visitors, catchment, drive time, behavior, cross-visitation, density, brands and industries
- CSV and Excel exports, monthly PDF reports, and Parquet and CSV feeds into S3 or GCS
Cons
- Doesn't produce sales forecasts, so pair it with your own model if you need a revenue number per site
- Demographics are available in selected markets and geo-spend in the UK only, so check availability for each market you need
2. Advan Research: best for hedge funds and quant teams that want raw US visit and card spend data to model themselves.
Advan Research is an alternative-data company that sells raw datasets to analyst teams, combining mobile location data with credit and debit card transactions. Weekly Patterns+ gives POI-level visit counts for the US and Canada with history from January 2018, Neighborhood Patterns+ works at census block group level, and SpendView covers US consumer spend. Data is delivered by FTP, AWS S3 and Google Cloud, and visits are mapped to stock tickers for investment research. It is built mainly for analyst and quant teams.
Pros
- Visits and card spend from one vendor
- Visit history back to January 2018
Cons
- Built for analyst and quant teams, so business users need a data team to model it
- Covers the US and Canada only, and SpendView the US only
3. Unacast: best for data and product teams that want raw US visit data and APIs to build their own tools.
Unacast is a location data vendor that sells mobility data, US foot traffic datasets and data linkages to adtech, software and product teams. Visitation datasets cover weekly, monthly and quarterly foot traffic, trade areas and cross-visitation, with US history from October 2018, through analytics APIs or bulk delivery into a warehouse or S3. Foot traffic covers the US; the global offer is raw mobility data. In January 2025 the FTC finalized an order restricting how Gravy Analytics, now its subsidiary, handles sensitive location data.
Pros
- APIs plus scheduled bulk delivery for teams building products
- Cross-visitation and trade area datasets
Cons
- Data and API first, so teams without data engineers must build analysis on top
- Foot traffic datasets cover the US only
- Subsidiary Gravy Analytics is under a 2025 FTC order, so ask how it affects the data you buy
4. pass_by: best for data teams that want US branded retail visit feeds in their warehouse.
pass_by is a London-based retail market intelligence company whose US visit data covers branded retail points of interest, mapped to brands, retail categories and stock tickers. Visit counts are aggregated at POI level with history from January 2019, and are delivered mainly as feeds into S3, Snowflake, BigQuery, Google Cloud Storage and other warehouses, alongside its Almanac platform. Its US data centers on branded retail, so independent stores and non-retail locations may be thinner.
Pros
- Visits mapped to brands, categories and tickers
- Wide choice of warehouse and cloud delivery
Cons
- Branded retail focus, so independents and non-retail locations may be thinner
- Accuracy figures are self-reported
5. Azira: best for marketers who want visitor audiences and campaign foot traffic measurement.
Azira, formerly Near, is a location data and marketing platform for marketers. It builds audience segments from visitation and purchase behavior, runs media across mobile, CTV, audio and DOOH, and measures incremental foot traffic from campaigns, with analytics and custom data feeds alongside. Solutions are supported in 44 countries. It is built around marketing and campaign measurement as much as site analysis, and its data refresh and granularity aren't stated publicly.
Pros
- Audiences, media and measurement in one place
- Solutions supported in 44 countries
Cons
- Built around campaigns, so check its fit for real estate or site selection work
- Data refresh and granularity aren't stated publicly
6. MyTraffic: best for teams with locations mostly in Europe that want a Europe-focused footfall dashboard.
MyTraffic is a Paris-founded footfall dashboard, combined with Geoblink, with an AI assistant called Gini plus DataLibrary, AudienceLabs and SmartMonitor. It lists 18 countries, most of them in Europe, and its US availability is listed for three states: New York, Texas and Massachusetts. Consultants can advise on studies. Refresh cadence and granularity aren't published, and its accuracy claims are the vendor's own.
Pros
- European footprint across 18 listed countries
- Gini answers footfall questions in plain language
Cons
- US availability is listed for three states only
- Data refresh cadence and granularity aren't published
- Accuracy claims are the vendor's own
7. Esri ArcGIS Business Analyst: best for GIS analysts who want a demographic mapping toolkit.
ArcGIS Business Analyst is a GIS toolkit from Esri that combines demographic, business, lifestyle, spending and census data with map analysis, down to census block group. It shows who lives around a site rather than who visits it. It lists no foot traffic dataset of its own, and its traffic counts come from Kalibrate and measure vehicles. Many online operations use credits, and comparison sites note a steep learning curve for users without GIS skills.
Pros
- Deep demographic, spending and segmentation data
- Trade area, suitability and Huff model tools
Cons
- No foot traffic data of its own; its traffic counts measure vehicles
- Needs GIS skills to get answers
- Many online tasks use credits
8. Audiense In-Person (formerly Buxton): best for US healthcare and restaurant brands that want site scores from an analytics firm.
Audiense In-Person is the location product of Buxton, a US customer analytics and site selection firm now operating under the Audiense name. It folds foot traffic trends into site scoring, trade area analysis, customer profiling and franchise territory planning through the SCOUT web platform, and the software is paired with analytics services. It has 36 healthcare industry models. Coverage is the US only, and foot traffic refresh and granularity aren't stated publicly.
Pros
- Customer profiling tied to site scoring
- Healthcare planning models
Cons
- Covers the US only
- Paired with analytics services, so check which parts are self-serve
- Foot traffic refresh and granularity aren't stated publicly
How to choose a Placer.ai alternative
Do you only need the US?
Placer.ai covers the US only. If you also trade or invest abroad, one provider measured the same way in every market saves reconciling datasets. Huq uses one method across 35 markets, including the US.
Platform or raw data?
Raw data and feeds suit teams with data engineers who will model the data themselves. If your team wants answers without building tooling, choose a self-serve platform. Huq offers both: the platform for commercial teams, and Parquet and CSV feeds for data teams.
How is accuracy shown?
Ask for validation against known figures, such as landlord-reported footfall, and test vendors on a site where you know the numbers. Huq publishes accuracy by country as MAPE: 19.5% across published markets, where under 30% is considered healthy.
Do you need small or rural sites?
Check minimum-visit thresholds. Placer.ai hides locations with fewer than 50 unique devices.
Frequently asked questions
What is Placer.ai?
Placer.ai is a US foot traffic analytics platform used by more than 4,000 customers in retail, commercial real estate, local government, CPG and finance. It estimates visits to places from a mobile location panel and sells a dashboard, an API, data feeds and a marketplace of partner datasets. Its FAQ describes coverage of the United States only.
How much does Placer.ai cost?
Placer.ai doesn't publish prices. Its pricing page describes custom subscriptions with unlimited dashboard access and a Customer Success service. There is no free trial of the full product, but Placer.ai offers a freemium version. Third-party estimates vary widely, so ask sales for a quote that covers the markets and seats you need.
What are Placer.ai's competitors?
Placer.ai competitors for US foot traffic include Advan Research, Unacast, pass_by and Huq. Azira and MyTraffic cover several countries. Esri ArcGIS Business Analyst and Audiense (formerly Buxton) compete on site selection, though G2's own alternatives list leans toward general BI and mapping tools.
What are the best Placer.ai alternatives?
Huq suits retail chains, retail property and investors. It is built for breadth across 35 markets: footfall by week, month and year, residents vs visitors, catchment, drive time, frequency, dwell, dayparts, cross-visitation, tourism, density, transport mode, POIs, brands, industries, plus demographics and spend in selected markets, delivered in a platform or as S3/GCS data feeds. Advan suits hedge funds, Unacast data teams, pass_by US brand benchmarking and Esri demographic analysis.
Where does Placer.ai get its data?
Placer.ai's FAQ says it uses a panel of tens of millions of devices, sourced from carefully vetted, often exclusive mobile data providers. Machine learning extrapolates that panel to estimate visits to places, chains, markets and regions. Locations with fewer than 50 unique devices are not shown.
Who owns Placer.ai?
Placer.ai (Placer Labs Inc.) is a venture-backed company founded in 2018. TechCrunch reported in August 2024 that it raised $75M from existing investors at a valuation near $1.5B, and that it has more than 50 investors, including WndrCo and Fifth Wall.
Questions? Talk to us
Book a demoSources
- Huq
- Placer.ai
- Placer.ai FAQ
- Placer.ai pricing
- FitGap: Placer.ai alternatives
- StartupOG: Placer.ai alternatives
- Advan Research
- Advan data dictionaries
- Unacast
- Unacast visitation datasets
- FTC: final order against Gravy Analytics and Venntel
- pass_by
- Datarade: pass_by US visit data
- Azira
- MyTraffic
- Esri ArcGIS Business Analyst
- Audiense In-Person (formerly Buxton)
- TechCrunch: Placer.ai raises $75M (Aug 2024)
- Huq platform
- Advan Research: About
- Advan: acquisition of SafeGraph Patterns
- Business Wire: Advan acquires RetailStat REI (Nov 2024)
- Unacast: About
- Unacast foot traffic data
- Datarade: Unacast US foot traffic data
- Datarade: Unacast global foot traffic data
- The Register: Gravy Analytics security incident
- Business Wire: Unacast $28M financing (Dec 2025)
- PPC Land: Azira One launch
- Esri Business Analyst data
- Esri Business Analyst plans
- Esri: Foursquare data in Business Analyst
- FitGap: ArcGIS Business Analyst alternatives
- Buxton, Elevar and Audiense unite under the Audiense brand (Jul 2025)
- Placer.ai and Esri partnership
- Placer.ai data delivery methods
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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