Grocery Footprint defines the catchments and spend potential for grocery stores across the UK, equipping users with transformative insights into the projected trading potential of each store.
Unable to determine where people come from to visit your grocery store?
Describe who, what, where, when and why people interact with grocery stores by understanding how your catchment interacts with that of a competitor.
Struggling to gain insights into sales opportunities within grocery stores?
Understand sales opportunities and gain unparalleled insight into the dynamics of each grocery store based on the spending power of those who live in the catchment.
Detailed understanding of grocery shoppers and catchments
Grocery Footprint is built using sophisticated AI and machine-learning techniques and defines the catchments and estimated market share for grocery stores and supermarkets in the UK with a sales area of over three thousand square feet. It reflects the local road network, individual location, demographic preferences and strength of competing stores.
Built using CACI’s Grocery List and Expenditure Estimates, it matches the overall size of the grocery market (including non-food sales and internet sales) implicitly in the model. As consumers have different choices, the model predicts the varying choices consumers have when it comes to their likely spend and where, with considering factors including store fascia (brand), size, drive time and shopper demographics.


Defining catchments to predict grocery expenditure
Grocery Footprint covers all major supermarket brands, including discounters. Catchments are defined and estimated market share is predicted for each store, depending on the amount of money available in the catchment.
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