Finding Audiences in the Real World Has Never Been Easier
Available through Amazon’s AWS, through our partner Experian and specialist GIS providers:
Our data products tell exactly where audiences spend their time and money in the physical world
Our Data Products
Footfall Dataset
This dataset provides the key footfall metrics at a point level (latitude and longitude of POI + 69- meter radius). The metrics are built using the mobile trace data generated by a representative panel of anonymous users. This includes the observed and extrapolated number of users who spent time at the point during a specific period, the number of their signals (observations) at the point, and the footfall data derivatives like reach, dwell-time, score. These metrics are provided for different movement (pedestrian and non-pedestrian) and visitation (residents, workers, transient) modalities. This dataset covers all needs for anyone to measure the popularity of a specific area and to perform comprehensive data analysis, build attribution and predictive models, and develop applications for retail analytics, city planning, marketing/advertising, financial forecasting and risk assessment etc.
Brand Affinity Dataset
This dataset complements the Footfall dataset and provides the quantitative measure of the real-world interest (affinity) of the users observed at a point level (latitude and longitude of POI + 69- meter radius). This includes hundreds of potential real-world interests, including but not limited to shopping, leisure, sport, transport, entertainment, education, eating/drinking etc grouped at the brand level like KFC, Superdrug, Vue cinema, Virgin Active Gyms etc. The user interest (affinity) profiling methodology uses the supervised machine learning algorithm described in the Locomizer’s patent “Interest Profile of a User of a Mobile Application”.
How to Buy?
Please get in touch to find out the best way to get our data. We provide access through Amazon AWS, our partner Experian and specialist GIS services.
Amazon Data Exchange
ABOUT AWS DATA EXCHANGE
AWS Data Exchange makes it easy for millions of AWS customers to securely find, subscribe to, and use third-party data in the cloud. Once subscribed to a data product, you can use the AWS Data Exchange API to load data directly into Amazon S3 and then analyze it with a wide variety of AWS analytics and machine learning services.
Locomizer Data Products will be launched on AWS Data Exchange shortly. Stay tuned!
Experian
ABOUT EXPERIAN
Through expertise in data, analytics and technology, Experian helps businesses grow and prosper, and improves consumers’ financial lives.
Locomizer data products are available to licence from Experian and are natural compliment to Mosaic postcode level customer segmentation
AWS S3
ABOUT AMAZON AWS
Amazon AWS S3 Bucket storage is the simple and secure way that many of our clients access Locomizer’s data. We can provision to your S3 or set up a location for your IAM account to access.
Get in touch and we can get you up and running with access to footfall and affinity data in minutes.
Get detailed information about data, business vocabulary and data schema by downloading our Product Guide document in PDF format:
We respect privacy and that’s why our datasets don’t contain:
User IDs, Phone Numbers, Emails, Addresses, Names or any Personally Identifiable Information.
Who Uses Our Data & How?
Advertisers
Match OOH and geo-fence programmatic campaigns with optimal sites
Increase ad value of OOH media by adding audience data
Cross check campaign results with insights from footfall change
Retailers
Visits by pedestrian vs. non-pedestrian, residential vs. transient modalities.
Dwell time and interests by day part
Find sites with similar audiences
Real Estate Agents
See how audience behavioural traits correlate with real estate value
Match tenants with optimal locations (music shop in area frequent by music loving crowds)
Help clients find new business sites based on look-alike analysis
City Planners
Understand the movements and distribution of residents, workers and visitors on a daily basis (for a sample work, check the High Street Recovery Tracker)
Correlate behavioural traits with needed improvements in city planning
Research people movement and its impact on city economic revival
Tourism
Understand tourist traffic by internal and foreign inbound
Understand how tourist behavioural traits change by season and adapt
Understand which parts of the city are more visited by whom and when
Financial Services
Join transactional data with behavioral data in real world
Understand what other interest your customers have
Find areas to expand your service to based on the similarity of behavioral patterns of your customers
Does It Work?
Yes, it does as our long journey proves it. Locomizer team has accumulated a tremendously rich experience in location analytics since its inception ten years ago. Add more than ten years of prior scientific research by our cofounder Dr. Alexei Poliakov and you will have an unmatched specialist company at your disposal. As the result, we have patents issued in the United States, Japan and South Korea. Our repeat customers motivate us to further innovate and excel in the field of location analytics.
Working to deliver the best location insights
12
COUNTRIES
+10
YEARS
3
PATENTS
Case Studies
Frequently Asked Questions
Is Locomizer data GDPR compliant?
Our product contains aggregated (Footfall) and abstract (Brand Affinities) data derivatives and adheres to local privacy regulations such as GDPR.
What are the sources of Locomizer data?
We license mobile GPS data from data management companies who source from 200 mobile apps (beauty, dating, entertainment, game, lifestyle, maps, news, photograph, shopping, sports, tools, travel, navigation). By contractual obligations, the data comes only with the user consent and it supplied in anonymised and aggregated manner.
What is the source of Point of Interest (POI) data?
The point data for location selection and user interest (affinity) profiling is supplied by Precisely, inc as a Points of Interest (POI) dataset extracted from World Points of Interest – Premium product. The POI dataset is updated monthly.
Are your data products based on user opt-in basis?
Yes, they are. The Locomizer’s Audience Profiles – Footfall and Brand Affinity Products consist of two datasets built using human mobility data collected from mobile devices where users have provided explicit consent for data to be used in this way.
How often do you refresh your datasets?
Our data products are updated on weekly / monthly frequency basis according to contract.
In what data format do you supply your datasets?
On data marketplaces the datasets are offered in tab separated values (TSV) format.
What the accuracy of your data?
We use only high quality and clean street level accuracy data with GPS-level data of 50m accuracy minimum.