Locomizer | Audience intelligence for screens, stores and sites

See who your locations really reach.

Locomizer transforms consent-based mobility observations into privacy-compliant, aggregated audience datasets: Footfall, Brand Affinity and Dynamic Demographics for screens, stores, sites and areas.

2–10%of adult smartphone users sampled in each country · varies through the year
Hour by hourfootfall and dwell estimates
Patentedaffinity method, US 2015/0193543
Explore an example locationIllustrative
Footfall · weekday average

Peak hour17:00
ReportingHourly
People at peak–
Scale it upHow big does this get across a network?
100
–people measured a month
–data rows delivered a month
–location-hours covered a month

Example figures for illustration only.
Working with
  • Dentsu
  • Talon
  • Bauer Media Outdoor
  • Orb
  • Meaningful Vision
  • Bigmedia
Products

One base dataset. Two add-ons that tell you more.

Start with Footfall for every location you care about, then add the layers your team needs. Every dataset is refreshed monthly and delivered as CSV, TSV or straight to your S3 bucket.

Footfall

See the audience behind every location: hour-by-hour estimates modelled from location signals.

  • Estimated people near each screen or site, scaled from a sampled panel to the population
  • Hourly, daily or monthly, at a 69 m, 183 m or custom radius
  • Split by movement: on foot, by bike, by car in town or on the highway
  • Split by visitor type: residents, workers and passers-by
  • Reach: the share of the observed national panel present at a location. Dwell: the relative concentration of signals there, not minutes spent
  • Opportunity-to-See for screens: people moving towards the visible face
Core dataset · any location

Brand Affinity

Understand what your audience is drawn to, scored from how consistently people spend time near certain kinds of places.

  • Affinity index: relative affinity strength (100 = national benchmark)
  • Target users: the share of observed users with a positive affinity score (>0) for the selected category or brand
  • 2,000+ categories and brands, plus custom lifestyle segments
  • Built from where people actually spend time, not from surveys
  • Hour by hour, so you know when each interest group passes
  • Ready to package as audience deals and private marketplaces
Add-on to Footfall

Dynamic Demographics

See how the likely audience mix at each location shifts by hour and day, built from behavioural patterns.

  • The estimated age and gender mix of the audience, as shares, never about any one person
  • Who is actually present, not just who lives nearby
  • Changes hour by hour and month by month
  • Age bands follow each country’s census; custom groupings on request
  • Multiply a share by Footfall to estimate how many people that is
  • Ideal for demographic packages and proving audience quality
Add-on to Footfall
Origin–Destination and home location · aggregated catchments and movement flows. OOH-to-CTV audience activation may be supported through eligible partners, subject to permitted data use and matching capabilities. Available on custom licences.Ask about custom data
How it works

From your site list to a monthly dataset.

01

Choose your locations

Send us your screens, stores, sites or zones. We draw a standard catchment around each: 183 m for OOH screens, 69 m for points of interest, or your own shapes.

02

We observe the audience

We start with observed movement from a large, consent-based mobile panel. We filter location noise, classify movement patterns and model audience estimates for each location and time period. Our panel can be orders of magnitude larger than conventional travel-survey samples, supporting granular audience analysis.

03

You get fresh data monthly

A new dataset arrives every month as CSV or TSV, by email or in your S3 bucket, ready for Broadsign, your planning tools or your own models.

Who it’s for

Built for the teams that price, plan and place.

Three kinds of teams rely on Locomizer data today.

Media owners and agencies

Prove the audience behind every screen, sell by audience instead of by site, and defend your rate card.

Start with a 30-day demo trial on up to 10 screens.
See the Orb case study →

Retail, property and councils

Track competitors, check a site before you buy it, or measure town-centre recovery quarter by quarter.

Quarterly datasets and history files available.
See the Meaningful Vision case study →

AI and software teams

Add real-world footfall to forecasting models or products, with licences for internal use, embedding or training.

Free assessment sample, then a paid evaluation.
Ask for a sample →
Research

Data with science behind it.

Locomizer supports academic research into human mobility and urban behaviour, including collaborations involving UCL CASA and Aalto University.

RESEARCHHuman mobility and urban behaviour
Academiccollaborations
Mobilitydata
Urbanresearch
Product guide

What you get in each dataset.

Footfall, Brand Affinity and Dynamic Demographics, explained in plain words. Choose a tab to see what each dataset answers and what every key field means.

One audience framework, three complementary datasets

Locomizer turns consented, pseudo-anonymised mobility data into a single, consistent view of the audience at any screen or site. Footfall quantifies audience volume, Dynamic Demographics describes its composition, and Brand Affinity reveals its real-world interests. Datasets use compatible geographic identifiers and can be combined when their observation windows, population bases and reporting definitions are aligned.

Where: any country you need. Live today in Ireland, the United Kingdom, the Czech Republic, Germany and Finland; a new country takes about one to two months to set up. Panels, census data and age bands vary by market.
FootfallAudience volume by hour, day and month, split by movement mode and visitor type
Dynamic DemographicsHour-by-hour age and gender composition of the audience actually present
Brand AffinityInterest strength and audience size for 2,000+ categories, brands and custom segments
Privacy by designAggregated outputs from consented, pseudo-anonymised panels; no individual-level data
InteroperableA shared CODE, radius and period link every file, ready for BI, DSP and SSP platforms
Delivered your wayCSV, TSV or Excel, by email or directly to your Amazon S3 bucket
Technical data dictionaries · October 2026 Footfall (Excel) Dynamic Demographics (Excel) Brand Affinity (Excel)
Download the product guidePDF · 2026 edition · 23 pages
Questions

Before you get in touch.

How do you protect privacy?

Our input includes pseudonymised mobility observations from consent-based suppliers. Standard client datasets contain aggregated audience statistics, not device identifiers or individual movement histories. We apply privacy and data-quality controls throughout processing.

How are the numbers produced?

We model audience estimates from a representative panel of mobile location signals and extrapolate them to the population. They show trends and let you compare sites like for like; they are not a head count.

How does Brand Affinity work?

Instead of asking “did someone visit Brand X?”, affinity asks whether people are consistently closer to certain kinds of places than chance predicts. That makes it robust to GPS error and silent phones. The Affinity Index measures relative affinity strength (100 = national benchmark): 150 means 50% stronger affinity. PROPORTION_OF_TARGET_USERS is the share of observed users whose affinity score is positive (>0). These measure different things.

How do I receive the data?

A fresh dataset every month as CSV or TSV, by email or delivered to your S3 bucket, ready for planning systems such as Broadsign.

Which countries do you cover?

Any country you need. Data is live today in Ireland, the United Kingdom, the Czech Republic, Germany and Finland. For a new country we set up the panel, census mapping and quality checks, which usually takes one to two months.

How much does it cost?

It depends on your locations, countries, period and the layers you choose, so every package is prepared to order. Send us a request and we’ll come back with a tailored proposal.

Can I change what’s included later?

Yes. You can add locations or layers such as Brand Affinity and Dynamic Demographics as your needs change.

Request your data

Tell us what you need. We’ll build it around you.

Every project is different: Footfall can be prepared for almost any location, radius and period, and Brand Affinity and Dynamic Demographics add on top of it. Fill in the form and we’ll come back with a tailored proposal; tick “Not sure yet” and we’ll help you choose. Read the product guide to see what each dataset contains.

01Your details

02What data do you need? Choose at least one

03Your locations

Countries
Type of location

04Timing and delivery

What kind of data?
How should we deliver it?

05About your project

Case studies

How teams use Locomizer data.

From Irish roadside screens to 50,000 restaurants across the UK, and the first programmatic OOH network in the Czech Republic.

Orb · Castle Rock Media · Republic of Ireland

Predicting OOH audiences across a national screen network

EveryOrb asset covered
183 mcatchment per screen
23affinity categories
Monthlydelivered by the 25th
Audience by hour and day at one roadside screenIllustrative

Tap or hover a cell to see the hour

Fewer peopleMore people

The challenge

Orb needed audience evidence for every screen to predict campaign audiences and measure delivery, beyond static traffic counts.

What Locomizer delivers

  • Footfall for every asset within a 183 m radius, by day and by hour
  • Brand Affinity across 23 interest categories, with new categories on request
  • Dynamic Demographics by month and by hour
  • A TSV file and a programmatic read file every month

The result

Orb plans and measures campaigns with one consistent, monthly audience layer across its whole Irish network.

Orb screensAll assets, Ireland
183 m catchmentPanel signals per hour
3 datasetsFootfall, Affinity, Demographics
Monthly filesTSV + programmatic
Meaningful Vision · United Kingdom & Ireland

Footfall for 50,000 venues inside a foodservice competitor scanner

~50,000points of interest
69 mradius per venue
2countries, postcode-unit matching
Year 2renewed for 2026
Venue footfall density across a cityIllustrative

Tap or hover a hexagon to see its footfall

Low footfallHigh footfallVenue

The challenge

Meaningful Vision’s Foodservice Competitor Scanner shows its clients how venues perform against competitors. It needed reliable, comparable footfall for tens of thousands of locations.

What Locomizer delivers

  • Monthly footfall for about 50,000 points of interest, each with a 69 m radius
  • Matching at full postcode-unit level across the UK and Ireland
  • CSV and TSV files within 15 days of each month’s end

The result

Footfall built directly into a product Meaningful Vision sells to its own clients, renewed for a second year.

Footfall becomes part of the client’s own product, refreshed every month without extra work on their side.
OOH media owner · Czech Republic

Proposed use case: turning screen impressions into biddable audiences

66,255avg daily car users, Screen 4
337affinity index for Albert, Screen 4
57,211monthly active users, Czech panel
4example screens
Average daily extrapolated users at 183 m

Tap or hover a bar for exact numbers

PedestriansCar (city and highway)
Top brand affinities at Screen 4 (100 = national benchmark)

Tap or hover a bar to compare with the benchmark

Index 150 = affinity 50% stronger than the national benchmark

The opportunity

A programmatic OOH network in the Czech Republic counts who is in front of its screens with cameras; buyers also want to know who those people are. This is a proposed programmatic use case, illustrated with example data.

What Locomizer adds

  • Predicted audience by hour, day, radius and movement mode
  • Brand Affinity and Demographics as biddable segments for deal IDs
  • Origin–Destination catchments; OOH-to-CTV activation where supported through eligible partners

What the illustrative four-screen analysis shows

Screen 4 drew 66,255 car users a day, and its audience’s affinity for the Albert supermarket chain was more than three times the national average.

Source: Locomizer illustrative Czech OOH screen dataset, March–April 2025 (31 days); separate Czech panel statistics, May 2026.

Campaign stories

Campaigns powered by Locomizer audiences.

Before our monthly datasets, Locomizer’s affinity profiling guided some of the UK’s best-known out-of-home campaigns. Tap a campaign to follow it from objective to outcome.

Two Together Railcard on a JCDecaux roadside screenNational Rail20183 photos
National Rail · Rail Delivery Group · Blue 449 · Posterscope · JCDecaux · Liveposter

National Rail’s first dynamic DOOH campaign

We blended National Rail’s own data with ours to find the hotspots where families and young travellers would see the right Railcard offer.

Explore the case study
Smirnoff Cider digital out-of-homeSmirnoff Cider2017
Smirnoff Cider · Diageo · Posterscope · Liveposter

Sunshine-triggered summer OOH

We found where summer socialisers gather, mapped them by time of day near stockists, and the creative switched to a “hot” version at 19°C.

Explore the case study
Jameson out-of-home poster in LondonJameson2016
Jameson · Pernod Ricard UK

From “Dads” to “Lads”: reaching men aged 25–34

We found the bars the target audience used, then the other places they spend time, and placed OOH near both, lifting every brand measure.

Explore the case study
Stella Artois Wimbledon campaignStella Artois2016
Stella Artois · Wimbledon · GPM360 · CScreens

Finding tennis fans for Wimbledon

Social and affinity profiling located the hotspots of tennis fans, guiding 3,000 bar screens and 12 large outdoor screens.

Explore the case study
Doom advertising on a London busDoom2016
Doom · Bethesda · Exterion Media · Posterscope

Gaming audiences on their commute

We mapped where gamers gather and travel; people closer to “locomized” posters were more likely to take action.

Explore the case study
Fallout 4 campaign at Piccadilly CircusFallout 42015
Fallout 4 · Bethesda · Posterscope · Target Media · Clear Channel UK

Award-winning use of data in OOH

Social hotspots of the gaming audience were overlaid on Clear Channel sites. The campaign won Best Use of Data and Insight.

Explore the case study
Guinness Time: weather-triggered out-of-home in Ireland3 photosIreland
Guinness · JCDecaux · PML Group · Carat Ireland · Source Out Of Home · AMV BBDO

“It’s Hot. We’re Cold. Guinness Time.”

A weather-triggered summer campaign planned with Locomizer’s “Drinks Out” audience data, named JCDecaux’s campaign of the month.

Explore the case study
The Dandy Lab smart street, London West EndLondon
The Dandy Lab · Bird Street · London West End

Footfall insights for the world’s first ‘Smart Street’

We gave a London smart-retail street interactive heatmaps of who passes by and what they care about, by time of day.

Explore the case study
Fast-food mobile campaign in central Madrid4 photosMadrid
Fast-food brand · Mobile ad partners · Central Madrid

Finding fast-food fans in Madrid: +40% click-through

We profiled 70,000 people’s interests from their movement and pointed mobile coupon ads at the right streets and hours. Clicks rose 40%.

Explore the case study

Want results like these? Start with a 30-day demo trial on up to 10 of your locations.Get in touch
News

Locomizer in the news.

How media owners, researchers and the press have used Locomizer data. Tap a story to read it in full.

Press
September 2021 · The Times

The Times: city centres and the back-to-office rush

Evidence from the High Streets Recovery Tracker, built by Centre for Cities with Locomizer data, sits at the centre of two Times articles on getting people back into city centres.

Read the story
Clients
16 July 2021 · The Irish Times

The Irish Times: why out-of-home advertising needs a re-think

PML Group’s CEO explains why mobility data such as Locomizer’s sits behind smarter, data-led out-of-home planning in Ireland.

Read the story
Industry
9 July 2021 · AdWorld.ie

OOH Summer: the six trends shaping out-of-home

Louise Enright of PML Group lists six reasons out-of-home is thriving this summer, with Locomizer among the sources tracking the return of movement.

Read the story
Recognition
20 June 2021 · BestStartup.co.uk

Among the best London-based ad targeting companies

Locomizer was listed in BestStartup’s 21 best London-based ad targeting startups and companies to work for.

Read the story
Data
26 February 2021 · AdWorld.ie

Now Near Next: Locomizer mobility up 18.5% in a week

PML Group’s weekly view from out-of-home uses Locomizer data to show Ireland moving again, with Dublin leading the recovery.

Read the story
Research
20 January 2021 · LSE British Politics and Policy

UK city centres that suffered least from COVID-19 face the toughest long-term challenges

Centre for Cities used Locomizer’s near real-time mobile data to track footfall in the UK’s 63 largest city centres through the pandemic.

Read the story
Expansion
3 October 2017 · Locomizer

Geo-behavioural analytics expand to commercial real estate with CBRE

Locomizer became a supplier to CBRE, helping companies choose locations by matching places to the consumers and workforce they need.

Read the story
Product
3 June 2016 · Press release

A biology-inspired smart geofence, and a $300K seed round

Locomizer introduced targeting based on where people have been, not where they are now, and raised seed funding from Impulse VC and Phystech Ventures.

Read the story

About us

We help businesses understand people in places.

Locomizer is a London-based audience discovery and location-intelligence company with deep scientific IP in human-mobility analytics.

01Our story

From where people are to what they care about.

Since 2014, Locomizer has turned anonymised mobile movement into audience intelligence. We convert consent-based data into privacy-compliant measurement and prediction products for media, advertising, retail and research partners across Europe.

Our approach is “post-location”: a coordinate on a map says where a phone was, but not why someone went there, what else they could have chosen, or what their everyday life looks like. Our patented affinity method measures how people relate to the places around them.

2014

Locomizer launches geo-behavioural interest profiling in London.

2015

Affinity method published as US 2015/0193543 A1, later granted in the US, Japan and Korea.

2023

Irish mobility panel launched for out-of-home media owners.

2025

Orb and Meaningful Vision subscribe to monthly datasets; Czech OOH analysis.

2026

Research with Aalto University and UCL CASA; online data requests launch.

02Team

The people behind Locomizer.

The science above needs people to turn it into something useful. Meet the scientists and commercial leads turning mobility data into audiences, from London.

Founder and CEO

Dr. Alexei Poliakov

Founder and Chief Executive Officer
Dr. Alexei Poliakov, Founder and CEO of Locomizer
“Behaviour reveals agency, but only if we model it ethically.”

I lead Locomizer, where we’re building privacy-native behavioural signals for the post-location world: a future where digital systems understand human engagement with places and other people without coordinates, raw location or tracking.

My work spans more than two decades across academia and industry, rooted in the science of behaviour: from single-cell dynamics to how people interact with the real world. The throughline has always been the same: behaviour reveals agency, but only if we model it ethically.

GeoPrints build on Locomizer’s long-standing research into spatial behaviour and its patented Brand Affinity methodology, with granted patents in the US, Japan and South Korea. They enable AI, urban systems and performance media to operate with human-centred intelligence, not surveillance.

I specialise in leading scientific and entrepreneurial teams, translating deep research into infrastructure that serves society, not just scale.

From cells to cities

  1. 1991–1997
    BiochemistryLomonosov Moscow State University
  2. 1997–2002
    PhD in Biology and Junior ScientistMoscow: National Medical Research Center of Cardiology, then the Faculty of Fundamental Medicine, Lomonosov Moscow State University
  3. 2006–2013
    Investigator ScientistMRC National Institute for Medical Research, London. More than ten years studying spatial behaviour in living systems: how cells move, sort and separate
  4. 2014
    Locomizer launches geo-behavioural interest profilingTurning his “Positional Identity” idea into a machine-learning method for measuring human behaviour in real space and time
  5. Today
    Founder and CEO, LocomizerPatents granted in the US, Japan and Korea; research with Aalto University and UCL CASA; audience data for any country, live in five today

Selected publications

  • “Contact-induced differential persistence as a mechanism for cell sorting.” Communications Physics, 2026
  • “Cell segregation and border sharpening by Eph receptor–ephrin-mediated heterotypic repulsion.” Journal of the Royal Society Interface, 2017
  • “A mechanical model of cell segregation driven by differential adhesion.” PLOS One, 2012
  • “Regulation of EphB2 activation and cell repulsion by feedback control of the MAPK pathway.” Journal of Cell Biology, 2008
Business Development

Vladimir Garnov

SVP Business Development
Vladimir Garnov, SVP Business Development at Locomizer
“Every client asks a different question. Our job is to shape the data around it.”

Vladimir is the first person most clients talk to at Locomizer. He works with media owners, agencies, property teams and AI companies to understand what they need to know about their locations, then shapes a dataset around it: from a single screen to a whole network.

He looks after Locomizer’s partnerships across Ireland, the United Kingdom, the Czech Republic, Germany and Finland, and stays involved from the first conversation to the moment the data arrives and is put to work.

Get in touch

Matching audiences to locations.

Tell us about your screens, sites or project. We usually reply within the same working day.

Telling us your time zone makes it easier to suggest good times for a call.

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