Sources of Data

By September 29, 2018 April 29th, 2019 Blog, Data, Phone counting, Town Centres

We are often asked for a list of companies to track footfall, loyalty, dwell and so on. So here is the list. It is very much a “live” document as we add more sources:

Compiled by Sven Latham, Last updated Janary 2019.

Please note the caveats we’re putting to this list of suppliers:

This list is for pointers only. It has not been edited, paid for nor endorsed by companies named, and is based on the first keywords that come to mind when we recall each company. Errors & Omissions Excepted. No recommendations or preferences are inferred.

Footfall, footflow, car counting, national benchmarks

Elephant Wifi
Town Wifi, apps, footflow (“GeoSense”)

Local Data Company (LDC)
Retail and geographical data, footflow (“SmartStreetSensor”)

Footfall, footflow, Retail data, benchmarking

Footfall, urban and rural, battery powered.

PFM Footfall
Footfall, footflow.

Rewarding Visits
Loyalty schemes, Kiosks

Place Dashboard
Tracking apps based on rewards, footflow, dwell, analytics.

Town gift cards, tracks spend in towns.

Kantar Retail
Shopper Insights, retail data, benchmarking

Loyalty App

Loyalty based on card usage (via user registration)

MyGravity Now part of Bink.
Loyalty app


Manual footfall counts. Bespoke coverage.

Almere Technology
Footfall counters, machine learning, road traffic & cyclists.

Retail Sensing
Footfall counters.

The list is growing and is by no means exhaustive, so if we’ve missed something please let us know so we can continue to share!

About the Technologies

Footfall counts how many people cross an imaginary line. Typically using cameras, infrared or beams. Quality typically varies with cost and technology used: a simple infra-red beam count will be cheap to set up but not very accurate. High-end camera quality is much better and more suitable for outdoors installations.

Footflow refers to a broader set of technologies that not only count people, but where they go as well. There are various options for this, but the most popular is phone-based, tracking individuals’ mobile phones across a wide area (such as a town). This can be provided alongside public wi-fi, which links phones to social media profiles. Accuracy again varies: the cheapest options give basic results, not really good for long-term benchmarking. High-end systems – particularly with wi-fi – tend to be much more accurate and precise.

There are often benefits to combining multiple systems, both on cost and breadth of data. We would be happy to provide an independent view!

Sven Latham

Sven Latham

Stares at spreadsheets for a living