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.
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.
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.
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:
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.
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.