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.

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!

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

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

  • Enable contextual advertising

    Match OOH and geo-fence programmatic campaigns with optimal sites

  • Profile your media inventory

    Increase ad value of OOH media by adding audience data

  • Measurement and Attribution

    Cross check campaign results with insights from footfall change

Retailers

  • Understand inbound traffic

    Visits by pedestrian vs. non-pedestrian, residential vs. transient modalities.

  • Profile your customer

    Dwell time and interests by day part

  • Look alike comparison

    Find sites with similar audiences

Real Estate Agents

  • Profile neighborhoods

    See how audience behavioural traits correlate with real estate value

  • Commercial Real Estate

    Match tenants with optimal locations (music shop in area frequent by music loving crowds)

  • Discover new locations

    Help clients find new business sites based on look-alike analysis

City Planners

  • Understand footfall traffic

    Understand the movements and distribution of residents, workers and visitors on a daily basis (for a sample work, check the High Street Recovery Tracker)

  • Interest Based Heat Maps

    Correlate behavioural traits with needed improvements in city planning

  • Economic Research

    Research people movement and its impact on city economic revival

Tourism

  • Inbound Tourism

    Understand tourist traffic by internal and foreign inbound

  • Seasonal Tourism

    Understand how tourist behavioural traits change by season and adapt

  • Sightseeings Management

    Understand which parts of the city are more visited by whom and when

Financial Services

  • Enrich Your User Base

    Join transactional data with behavioral data in real world

  • Know Your Customer

    Understand what other interest your customers have

  • Increase Your Customer Base

    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

Locomizer in Press & Research

Locomizer: The Brand Reimagining The Spatial Data Analytics

Our CEO Dr. Alexei Poliakov is featured in the recent issue of…

The Irish Times: “Why out-of-home advertising needs a re-think”

We love to hear our customers quoting Locomizer. This time PML…

Latest trends in OOH happening this summer

Sharing a link to a very thoughtful piece by Louise Enright,…

Locomizer among top picks for the best London based Ad Targeting companies

Excited to be listed in 21 Best London Based Ad Targeting Startups…

AdWold: “Now Near Next – The Latest View from OOH”

Thank you for a shoutout by PML Group in their piece in AdWorld…

Spot Locomizer on location intelligence map of Europe

It is exciting to see Locomizer placed on the location intelligence…

Locomizer named in 10 of the best retail data tools

PlaceTech has asked a panel of experts to name their favourite…

Frequently Asked Questions

Our product contains aggregated (Footfall) and abstract (Brand Affinities) data derivatives and adheres to local privacy regulations such as GDPR.

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.

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.

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.

Our data products are updated on weekly / monthly frequency basis according to contract.

On data marketplaces the datasets are offered in tab separated values (TSV) format.

We use only high quality and clean street level accuracy data with GPS-level data of 50m accuracy minimum.

Schedule a consultation with our team to explore your use case and discuss a tailored solution.