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What we do

Footfall Measurement

We are a hardware free wide-area footfall monitoring solution that provide local & central government; retail brands & commercial property owners the ability to understand, incremental change and the opportunities they present

We provide real-time access to footfall, occupancy and people counting data; Our solution provides data, from a single retailer or commercial building to a full understanding of how the high-street footfall is changing over the day/week/year. This extends to include both primary & secondary shopping areas such as open markets, shopping centres and out of town shopping areas

24/7 Real Time Data

Sample Clients

Amber Valley Borough Council - Tufuta Footfall Analytics client Tower Hamlets - Tufuta Footfall Analytics client Surrey County Council - Tufuta Footfall Analytics client London Borough of Bexley - Tufuta Footfall Analytics client South Lakeland District Council - Tufuta Footfall Analytics client Birmingham City Council - Tufuta Footfall Analytics client Shetland Islands of Opportunity - Tufuta Footfall Analytics client Burnley.gov.uk - Tufuta Footfall Analytics client Mole Valley District Council - Tufuta Footfall Analytics client Staffordshire County Council - Tufuta Footfall Analytics client NYC New York City - Tufuta Footfall Analytics client Hastings Borough Council - Tufuta Footfall Analytics client Halton Borough Council - Tufuta Footfall Analytics client Wigan Council - Tufuta Footfall Analytics client Preston City Council - Tufuta Footfall Analytics client Oxford City Council - Tufuta Footfall Analytics client South Tyneside Council - Tufuta Footfall Analytics client Hackney - Tufuta Footfall Analytics client South Gloucestershire Council - Tufuta Footfall Analytics client The City of Miami - Tufuta Footfall Analytics client Cardif Caerdydd - Tufuta Footfall Analytics client
Amber Valley Borough Council - Tufuta Footfall Analytics client Tower Hamlets - Tufuta Footfall Analytics client Surrey County Council - Tufuta Footfall Analytics client London Borough of Bexley - Tufuta Footfall Analytics client South Lakeland District Council - Tufuta Footfall Analytics client Birmingham City Council - Tufuta Footfall Analytics client Shetland Islands of Opportunity - Tufuta Footfall Analytics client Burnley.gov.uk - Tufuta Footfall Analytics client Mole Valley District Council - Tufuta Footfall Analytics client Staffordshire County Council - Tufuta Footfall Analytics client NYC New York City - Tufuta Footfall Analytics client Hastings Borough Council - Tufuta Footfall Analytics client Halton Borough Council - Tufuta Footfall Analytics client Wigan Council - Tufuta Footfall Analytics client Preston City Council - Tufuta Footfall Analytics client Oxford City Council - Tufuta Footfall Analytics client South Tyneside Council - Tufuta Footfall Analytics client Hackney - Tufuta Footfall Analytics client South Gloucestershire Council - Tufuta Footfall Analytics client The City of Miami - Tufuta Footfall Analytics client Cardif Caerdydd - Tufuta Footfall Analytics client
Mcdonalds - Tufuta Footfall Analytics client Tiffany & Co - Tufuta Footfall Analytics client Authentic Fossil - Tufuta Footfall Analytics client Post Office - Tufuta Footfall Analytics client Oakfurnitureland - Tufuta Footfall Analytics client SUPERGA - Tufuta Footfall Analytics client COOP - Tufuta Footfall Analytics client PRIMARK - Tufuta Footfall Analytics client TheWorks.co.uk - Tufuta Footfall Analytics client Boots - Tufuta Footfall Analytics client ASDA - Tufuta Footfall Analytics client YANKEE CANDLE - Tufuta Footfall Analytics client VICTORIAS SECRET - Tufuta Footfall Analytics client TESCO - Tufuta Footfall Analytics client United States Postal Service - Tufuta Footfall Analytics client BEAVERBROOKS - Tufuta Footfall Analytics client Tory Burch - Tufuta Footfall Analytics client JIGSAW LONDON - Tufuta Footfall Analytics client Rapha - Tufuta Footfall Analytics client CARDZONE - Tufuta Footfall Analytics client THE LIMITED - Tufuta Footfall Analytics client GUCCI - Tufuta Footfall Analytics client Dr Martens - Tufuta Footfall Analytics client Cartier - Tufuta Footfall Analytics client MONICA VINADER - Tufuta Footfall Analytics client TileFLAIR - Tufuta Footfall Analytics client
Mcdonalds - Tufuta Footfall Analytics client Tiffany & Co - Tufuta Footfall Analytics client Authentic Fossil - Tufuta Footfall Analytics client Post Office - Tufuta Footfall Analytics client Oakfurnitureland - Tufuta Footfall Analytics client SUPERGA - Tufuta Footfall Analytics client COOP - Tufuta Footfall Analytics client PRIMARK - Tufuta Footfall Analytics client TheWorks.co.uk - Tufuta Footfall Analytics client Boots - Tufuta Footfall Analytics client ASDA - Tufuta Footfall Analytics client YANKEE CANDLE - Tufuta Footfall Analytics client VICTORIAS SECRET - Tufuta Footfall Analytics client TESCO - Tufuta Footfall Analytics client United States Postal Service - Tufuta Footfall Analytics client BEAVERBROOKS - Tufuta Footfall Analytics client Tory Burch - Tufuta Footfall Analytics client JIGSAW LONDON - Tufuta Footfall Analytics client Rapha - Tufuta Footfall Analytics client CARDZONE - Tufuta Footfall Analytics client THE LIMITED - Tufuta Footfall Analytics client GUCCI - Tufuta Footfall Analytics client Dr Martens - Tufuta Footfall Analytics client Cartier - Tufuta Footfall Analytics client MONICA VINADER - Tufuta Footfall Analytics client TileFLAIR - Tufuta Footfall Analytics client

Our Data

1000 + Retail & Commercial

Each day we analyse over a 1000+ global retail & commercial brands & potential high flow footfall locations for our clients, each location reporting back footfall & passing traffic

700 + Town & City Centre index

Every week we analyse the footfall, dwell and occupancy of over 700 towns & large conurbations around the UK, covering both primary & secondary shopping areas

Real time data

AI & machine learning can be flawed as it relies on a long chain of history to form a predictive model; if anything, COVID has taught us, history can be a poor form of prediction. We collect real-time data!

Billions of data points analysed

Every 24 hours we analyse over 1 billion data points across the UK alone. You can almost double that across Mainland Europe, USA, Asia & Middle East

GDPR Compliant

No identifiable data is collected or stored; therefore, it is impossible to breach current or predicted GDPR legislation unlike much of the solutions that rely on wi-fi or opt-in-based data collection

Driven data

We access publicly available GSM & location data through our proprietary search-link API; enabling us to determine footfall, dwell times & occupancies at a given Longitude & Latitude

Comparative High Street Performance

Measure Footfall

By people counting & tracking changes in footfall to the town on an hourly, daily or weekly basis, permits quick identification of any impacts, such as the changes in seasonality, or store closure.

Benchmark Performance

Compare your visitor numbers, dwell times, & occupancy levels against comparable towns or cities with similar demographics.

Evaluate Event Success

Understand which events & marketing activities have had the biggest impact on attracting more visitors & increase the footfall or dwell times within the town centre.

Retail & Commercial Performance Hot Spots

Measure Footfall

Track changes in footfall to the town on an hourly, daily, weekly basis. Identify changes in seasonality, such as dwell time across all areas of the key shopping areas.

Benchmark Performance

Compare your visitor numbers, dwell time, against comparable stores and locations.

Competitor Performance

Evaluate your store or location performance against your competitors. Compare their marketing success against your own.

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