Local Footprint identifies and defines various characteristics of locations to deliver granular, robust insights into consumers’ interactions with each location that are revolutionary for business-wide decision-making and improving outcomes.
Lacking detailed insights into your centre?
Understand the geographical context of any micro-location at a highly granular level for enhanced analysis, modelling, strategies or tailored marketing efforts.
Struggling to understand when and how customers visit your centre?
Assess how customers interact with centres at a granular level, split by time of day, day of the week, seasonality, flow of customers and more.
Comprehensive understanding of customer-facing locations
Local Footprint identifies the location, strength, nature and catchment of locations ranging from stand-alone convenience stores and neighbourhood shopping parades to major city centres, all of which are subdivided into zones.
Each distinct geographic location is named, coded and referenced by postcode, attributed and scored according to the services available as well as other types of provision. It includes up-to-date lists of retailers, banks, pharmacies, post offices, petrol stations, transport stops and other convenience services.


Leveraging geodemographic data to enhance outcomes
Local Footprint is an intelligent use of mobile app data that can incorporate geodemographic segmentation data from CACI’s Acorn, our leading segmentation of residential neighbourhoods. This enables us to show you how, who, where, when and why people interact with centres.
Supported by powerful dashboards, Local Footprint helps you see and interact with the detailed data we hold, allowing you to make quick and informed decisions that will bolster key business decision-making, increase profitability and reduce wastage.
Premise data, confirmed closures and the latest new shopping centre openings and developments have been included within the modelling of Local Footprint, along with the latest expenditure estimates, transaction and trip data.
Related datasets
Retail Footprint
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Leisure Footprint
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Grocery Footprint
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Financial Footprint
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Location Dynamics
A comprehensive location intelligence suite providing insights into the relationships between places and people