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Buyer's guide

The 7 best Placer AI alternatives for UK locations in 2026

Huq is our product. Here's how we compared everyone, including us.

Placer AI is a US foot traffic platform, with an analytics dashboard, data feeds and a data marketplace. Its FAQ describes a panel that reflects the movement of the US population.

That US focus is the issue for UK buyers. If you know Placer.ai from a US parent company or past role and want the same kind of visit data for UK high streets, shopping centres and retail parks, you need a provider that covers UK locations. That applies to retail expansion teams, landlords and investors, and councils and BIDs alike.

Huq wrote this guide and lists itself first. It is the only self-serve platform here built for retail, real estate, councils and BIDs. The other six are what they mainly are: a European dashboard, telco network data, consultancies and door counters. We use only facts the vendors publish.

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Quick answer

Huq is the Placer AI alternative for UK locations for retail expansion, retail property and investors, and councils and BIDs: self-serve, weekly footfall at any address, the same method across 35 markets, and accuracy published as MAPE. If you only need counts at your own doors, a counter such as MRI does that.

Placer AI alternatives for the UK compared

How the UK and European options compare, at a glance.

ToolBest forCoverageData typesGranularityStandout
HuqRetail expansion; retail property and investors; councils and BIDs35 marketsFootfall, catchment, behaviour, demographics, geo-spend (UK, via Experian), brands and placesAny address or drawn area; postcode catchments; weeklySelf-serve, with accuracy published by country: 18.7% MAPE in Great Britain
MyTrafficRestaurant and franchise site checks18 countriesFootfall, competition, cannibalisation, ad attributionAI chat dashboard
BT Active IntelligenceArea-level UK network dataUKFootfall, journeys, origin-destination, audiencesFine H3 grid (via CARTO)Telco mobility data
O2 MotionPublic-sector district movement trendsUKPopulation movementTelco mobility data
GeolytixCommissioned forecasting modelsUK in depth; projects in 100+ marketsDemographics, banking, retail places, mobility20m hex (Small Area Footfall)Consultancy-led
CACICommissioned catchment and spend modelsUK and EuropeCatchment, spend potential, market share, segmentationRetail centre and destinationSegmentation and consultancy-led
MRI OnLocation Footfall AnalyticsCounting at your own entrances14,300+ counting points worldwideCounted footfall, conversion, occupancyEntrance and zoneCamera counters

How we evaluated

  • UK coverage: does the tool measure UK high streets, shopping centres, retail parks and individual addresses?
  • Self-serve use: can expansion, property and council teams answer questions themselves, without consultants, GIS specialists or data scientists?
  • Published accuracy: whether the vendor publishes its accuracy by country against a real benchmark.
  • Any site or installed sites: can you see competitors and unopened sites, or only places with counters?
  • Coverage across markets: are the same measures available in the US, Europe and beyond?
  • Fit for councils and BIDs: benchmarking a town against comparable places and measuring whether interventions work.
  • Delivery: dashboards, reports and data feeds, and how they reach your team.

The best Placer AI alternatives for UK locations, ranked

Our product
1. Huq

1. Huq: best for retail expansion, retail property and investors, and councils and BIDs

If you know Placer.ai from the US and want the equivalent for UK locations, Huq is the closest fit: visit data for any address, viewed in a map and dashboards, with feeds for data teams. Huq covers 35 markets, so a US brand entering the UK, or a UK chain with European stores, uses the same measures in each country.

Huq is the self-serve location intelligence platform for three groups: retail chains planning expansion and site selection, from global brands to teams with five stores; retail and commercial real estate owners, asset managers, investors and private equity assessing retail brands and assets; and local councils and BIDs tracking economic development and regeneration, and checking whether policies, events and interventions are working against comparable places. Teams answer their own questions in the Explore map, Projects and portfolio dashboards. No consultant or GIS team is needed.

Accuracy comes first. Huq manually validates more than 1,000 locations in each of its 35 markets twice a year, uses one uniform method in every market, and publishes accuracy by country as MAPE against landlord-reported footfall: 18.7% in Great Britain, 13.5% in Germany, its best market, and 19.5% across published markets. Under 30% is considered healthy. Data refreshes weekly.

In one platform you get footfall by week, month and year (totals, average daily footfall, trends, period-on-period change, and visiting vs passing traffic); residents and visitors; catchment by postcode with drive-time and travel-time analysis; demographics and profiling (age, gender, purchasing power); visit frequency, dwell time, dayparts, cross-visitation between up to 10 location pairs and international visitation; footfall density and transportation mode; points of interest, brand locations and industry performance; and geo-spend by volume and category for UK locations via Experian. It works on any UK address, including high streets, shopping centres, retail parks, competitors' stores and sites you haven't opened.

Commercial teams work in the Explore map, run White Space Analysis and use Projects to monitor many sites and report to stakeholders. Technical teams get CSV or Excel exports, monthly PDF location reports, and Parquet and CSV data feeds into Amazon S3 or Google Cloud Storage. Huq delivers feeds, not an API.

Clients include the global insights, research and location intelligence teams at Nike, Adidas, JD Sports and Samsung, among more than 300 organisations, and Huq's NPS is 42. JD Sports reports 25% more precise catchment analysis and 18% lower new-store location risk. Ripon BID uses Huq and saw footfall up 164% year on year.

Pros

  • Self-serve: retail, property and council teams answer their own questions without a consultant or GIS team
  • Accuracy published by country as MAPE, with 1,000+ locations validated in every market twice a year
  • One uniform method across 35 markets, on any address, including competitors' stores and unopened sites
  • Footfall, catchment, behaviour, demographics and UK geo-spend via Experian in one place
  • Weekly data, with exports, PDF reports and data feeds into S3 or Google Cloud Storage

Cons

  • Demographics and geo-spend are available in selected markets, not all 35
  • No sales forecasts: pair Huq data with your own model
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2. MyTraffic

2. MyTraffic: best for restaurant and franchise chains that want an AI chat assistant for site checks

MyTraffic is a French location intelligence company that bought Geoblink in January 2024. It is the most Placer-like option here: a self-serve dashboard, now led by Gini, an AI assistant, with add-ons for advertising attribution and shopping centres. It lists 18 countries and highlights restaurant and franchise use cases. Its homepage doesn't name its underlying data source or describe data delivery formats, so check both.

Pros

  • Self-serve dashboard with an AI assistant
  • Lists 18 countries, including the UK

Cons

  • Underlying data source isn't named on its homepage
  • No API or delivery formats described for feeds into your warehouse
  • Focused on restaurant and franchise use cases
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3. BT Active Intelligence

3. BT Active Intelligence: best for transport and events teams that want UK network data by area

BT Active Intelligence is BT Business's mobility data service, built from movement data on the EE network and scaled to the UK population. Outputs are aggregated over time, geography, age and gender, and sold as Location, Journey, Origin destination and Audience insights, through a portal, on request or through CARTO. It is a UK telco data source rather than a chain-and-property platform, and suits towns and routes more than store-versus-store comparisons.

Pros

  • Location, journey, origin-destination and audience data from one network
  • Age and gender attached to movement

Cons

  • UK only
  • Framed around places and journeys, not retail brands or stores
  • Pricing isn't published
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4. O2 Motion

4. O2 Motion: best for public-sector teams working with ONS mobility data

O2 Motion is Virgin Media O2 Business's anonymised and aggregated mobility data, built from connection data between devices and phone masts. It sits on the ONS Integrated Data Service, where it is updated weekly. It is UK population movement data for government and planning, not a self-serve platform for comparing chains and properties.

Pros

  • Updated weekly on the ONS Integrated Data Service
  • Shows how populations move between areas

Cons

  • No public product page with formats, granularity or delivery details
  • UK only
  • Not positioned as a store-by-store retail footfall product
5. Geolytix

5. Geolytix: best for grocers and multiples that want consultants to build a forecasting model

Geolytix is a UK location planning consultancy. It sells MAPP, an online mapping tool, GEODATA datasets and consultancy for sales and investment forecasting, network strategy and spatial modelling. Its Small Area Footfall product estimates average daily footfall in 20m hexes across UK Retail Places. For a Placer user it is a different model: less a self-serve dashboard, more a planning partner you commission to build forecasts.

Pros

  • Forecasting and network strategy consultancy
  • Demographics, banking, retail places and mobility from one supplier

Cons

  • Consultancy-led, which suits projects more than self-serve monitoring
  • Footfall update frequency and delivery format aren't published
  • Footfall product is UK-focused
6. CACI

6. CACI: best for planners who want to commission modelled catchments and spend estimates

CACI is the London-based company behind Acorn, and it sells datasets, mapping software and consultancy. Retail Footprint is a spatial interaction model of over 70,000 retail locations in the UK and Europe, scoring catchment, spend potential and market share. CACI also sells Acorn-coded footfall data, off the shelf or bespoke, which is its nearest equivalent to Placer. Much of the offer is modelled and comes with consultant support.

Pros

  • Modelled catchment and spend potential for retail centres
  • Acorn segmentation built in

Cons

  • Retail Footprint and Location Dynamics are modelled, not measured visits
  • Refresh frequency isn't published on the pages we reviewed
  • European coverage is described without a country list
7. MRI OnLocation Footfall Analytics

7. MRI OnLocation Footfall Analytics: best for counting visitors at the doors of sites you already operate

MRI OnLocation Footfall Analytics is the people-counting business MRI Software gained when it bought Springboard in 2022. It uses AI on existing camera networks to count visitors entering, leaving and moving through spaces, and measures conversion. It is hardware-based counting: it measures only where its software is installed, so it can't see a competitor's store or an unopened site.

Pros

  • Counted footfall and conversion at your own entrances
  • Uses existing camera networks

Cons

  • Only measures where its software is installed
  • Can't measure a competitor's store or an unopened site
  • Counts show volume, not where visitors come from

How to choose a Placer.ai alternative in the UK

Which locations do you need to see?

If you need competitors, vacant units or new towns, choose a provider that works on any address. Counters only cover sites where they're installed.

Do you need one dataset across countries?

US brands entering the UK, or UK chains in Europe, should check that the same measures exist in each market. Huq uses one method across 35 markets.

Can your team answer its own questions?

Consultancies and raw network data put a specialist between you and the answer. Huq is self-serve for expansion, property and council teams, with feeds rather than an API for data teams.

How is accuracy shown?

Ask for accuracy by country. Huq publishes an 18.7% MAPE in Great Britain against landlord-reported footfall.

Frequently asked questions

What does Placer AI do?

Placer.ai sells location intelligence and foot traffic data, which UK teams call footfall. Its products include an analytics platform for property, chain and industry reports, an API, automated data feeds and a data marketplace with partner datasets. It serves real estate, retail, restaurants, consumer goods, civic and finance customers.

Does Placer.ai cover the UK?

Placer.ai's own site focuses on the US: its FAQ says its panel reflects the real-world movement of the entire US population, and we found no UK or European coverage on its pages. UK buyers usually need a provider such as Huq, MyTraffic or BT Active Intelligence for UK locations.

Where does Placer AI get its data?

Placer.ai's FAQ says it uses a panel of tens of millions of devices, sourced from many carefully vetted, often exclusive data providers, and that it validates accuracy against first-party and authoritative sources. Ask any UK alternative how it validates accuracy for UK locations specifically.

Where can I get 24-hour footfall data for UK locations?

Huq shows footfall by time of day and dayparts for any UK address, alongside weekly, monthly and yearly totals. Data refreshes weekly rather than by the hour. If you need continuous counts at your own entrances, a camera-based counting system such as MRI's does that job.

Which markets does Huq cover?

Huq covers 35 markets, so the same measures work for UK, European and other sites. In the UK it covers any address, including high streets, shopping centres, retail parks and competitors' stores, and Huq manually validates more than 1,000 locations in each market twice a year.

Can I get a free analysis of my UK locations?

Yes. Send Huq the UK stores, centres or sites you're considering and Huq will prepare a free analysis of footfall, catchment and visitor behaviour, so you can see how it compares with Placer.ai data you've used in the US.

Questions? Talk to us

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About the author

Huq Research Team

Location intelligence analysts

Huq's research team compares location data and analytics tools for retail, property and investment teams across Huq's 35 markets.

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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