Town Centre Behaviour insights supporting COVID 19 recovery planning

TownCentre.AI is a platform that provides instant town centre footfall and visitor behaviour insights to local government and business improvement districts across the UK. The product provides accurate footfall measurement at three levels; town centre, street and business. Understand rapid changes in visit behaviours, how and why people are using the town centre.

As no infrastructure is required, the performance of multiple town centres in a local government area can now be measured. Business improvement districts can easily benchmark against neighbouring town centres. Understand where town centre visitors originate from and track your success in growing town centre usage, by attracting more residents living in catchment postcode areas and/or visitors from further afield.

Town Centre Footfall

Track footfall volumes, visit frequency and length of stay over time. Use the footfall index to reflect how it has changed relative to March 2020. Understand how interventions, seasonality and events impact visitor footfall.

Visitor Origins

Discover where town centre visitors come from by postcode. Understand which are your ‘core’ footfall postcodes and track over time the share of residents using the town centre. Identify ‘tourism’ postcodes and use to target social media marketing.


Analyse footfall volumes, dwell time and store/leisure visits during your events. Benchmark event performance and identify who attends and where people live.

Multiple Locations

For councils with multiple towns and cities or Business Improment Districts which want to benchmark their own town centre performance easily add up to six town centres to be compared against each other using a simple drop-down filter.

Street Insights

TownCentre.AI provides a street heat map showing how footfall is distributed across the town centre. Streets, car parks and green spaces can be included. Easily export the insight as an Excel file.

And So Much More….

Utilise TownCentre.AI location insight to make fact based decisions:

Transport Planning

Track visitor modal journeys – walking, car and train. Identify busiest travel routes and reason for journey.

Day of Week / Time of Day

Analyse day of week /time of day to allocate street marshalls and understand optimum car parking incentives.

Town Centre Loyalty

Analyse shared customers with competitor retail locations and identify what they demand and iwhat is missing from the town centre.

Competitor Benchmarking

Compare your performance against 1,900+ town centres including visitor volumes, visit frequency, dwell time and catchment populations.


Measure the share of visitors volumes to independent stores by category and street to track on going vitality.

Retail & Leisure Visited

Identify why and where customers use the town centre to help target event and marketing resources.

Explore how TownCentre.AI can providethe right answers to make great decisions.

Drive Results.

  • 1 billion data points

    Every month we analyse 1,000,000,000 continuous location data points across the UK

    1,900+ towns

    From Wick to Penzance, Aberystwyth to Hull, we know where and how people shop
  • 1,350+ Retail Parks

    We measure shopper visits, 24/7 for every tenant occupier on 1350+ retail parks

    1,400+ Brands

    We track, measure and rank performance for over 1,400+ retail and leisure UK operators

    Continuous Data Only

    No ad exchange data for us (it is only 1% useful for in-store visit measurement) - ours is all 1st party and continuous!
  • 1.4 Million GDPR compliant phones

    All our data is GDPR compliant and contains no personal identifiable information

    Geo Fenced Accuracy

    Every location feature is manually geofenced, delivering the most accurate store visit measurement in the UK

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