RetailVision - Retail Insights

RetailVision Location Intelligence

A comprehensive depiction of the retail landscape to enable smarter location decisions
Contact GMAP Today

RetailVision Location Intelligence

A comprehensive depiction of the retail landscape to enable smarter location decisions

Contact GMAP Today

RetailVision - International

RetailVision Points and RetailVision Destinations can be collected for any market around the world, and is designed to help stakeholders understand the current retail landscape to enable smarter location and business decisions. 

RetailVision Points

A competitively priced retail locations dataset to help you benchmark competitor and affinity brands.

RetailVision Destinations

RetailVision Points are aggregated to provide a detailed illustration of the retail landscape & Opportunity Scores facilitate 'next best' location analysis.

Applications

  •  Objectively support business decisions and site feasibility assessments.
  • Develop comprehensive estate strategies, such as tactics for expansion or rationalisation.
  • Monitor market share performance and benchmark competitor brands.

Why RetailVision?

  • RetailVision can be delivered as a standalone dataset, as a dashboard tool within Microsoft Power BI, or can be further brought to life through our mapping tool, MVPLUS.

RetailVision - UK

RetailVision UK comprises of RetailVision Points and RetailVision Destinations which are available off-the-shelf. RetailVision UK is designed to help stakeholders understand the current retail landscape to enable smarter location and business decisions. 

RetailVision Points

A competitively priced retail locations dataset with coverage of over 80,000 stores, for over 800 brands, across the UK.

RetailVision Destinations

A detailed illustration of the UK’s retail landscape with approximately 21,000 Retail Centres, combined into 13,000 Trade Zones and further grouped into 800 Super Trade Zones.

Retail locations and store locations data for location planning

RetailVision Points

Retail centre data for location planning

Retail Centres (by Type)

Retail centre data for location planning

Trade Zones (Red)

& Super Trade Zones (Grey)

Insights from RetailVision

80,000+ Retail Points for 800+ Brands

Retail Destinations

20,000+ Retail Centres

13,000+ Trade Zones

800+ Super Trade Zones

14 Centre Types

Shopping Centres, Retail Park, etc.

5 Centre Segmentations

Premium, Mass+, Mass, Value+, Value

Spend By Product

Grocery, Fashion & Comparsion, Homeware & DIY, Electrical

Footfall Data

Catchments

Spatial Interaction Model

Features

  • Our comprehensive RetailVision Points dataset identifies the geographical coverage of retailers across 27 categories (e.g. Bakery, C-Store, DIY, Fashion, Supermarket, etc). These are clustered to create RetailVision Destinations.
  • RetailVision Destinations area hierarchical geography containing: Retail Centres (c.20,000), Trade Zones (c.13,000) and Super Trade Zones (c.800). 
  • Each RetailVision Destination is classified by Type (e.g. Arcade, Retail Park, etc.). 
  • RetailVision Points and Destinations are segmented into 5 categories: Premium, Mass+, Mass, Value+, and Value. This ensures a comparative evaluation across  Destinations on both the Quality and Quantity of the retail provision. 
  • GMAP’s model simulates the Bricks & Mortar Spend in each store across the 4 product types of: 
  • The Store Revenues are then aggregated into Retail Destination Spend and an associated Retail Destination Ranking is calculated.
  • Quarterly Geo-Mobility Footfall Indexes to understand the dynamics of the market.
  • Centre Footfall Catchments show the distance travelled and the catchment population.

Applications

  • Objectively support business decisions and site feasibility assessments.
  • Quantify and rank the size of the revenue opportunity for any UK Retail Centre, Trade Zone or Super Trade Zone.
  • Develop comprehensive estate strategies, such as tactics for expansion or rationalisation.
  • Monitor market share performance and benchmark competitor brands.
  • Catchment analysis to understand from where shopper spend flows originate.

Why RetailVision?

  • RetailVision can be delivered as a standalone dataset, as a dashboard tool within Microsoft Power BI, or can be further brought to life through our mapping tool, MVPLUS.
  • The RetailVision Points dataset is initially derived from PAF, Royal Mail’s most accurate and up-to-date address database.
  • The RetailVision methodology has been enhanced to account for the impacts of COVID using Geo-Mobility data and ONS retail sales data.
  • Quarterly updates.

RetailVision Dashboard Tool

Our RetailVision Dashboard Tool visualises, reports and consolidates the different RetailVision layers including RetailVision Points, our store locations dataset, and our Retail Centre, Trade Zone and Super Trade Zone RetailVision Destinations.

Case Study

Geodemographic Data for a Sports Fashion Retailer
RetailVision for a Clothing & Footwear Retailer
Major Sports Fashion Clothing & Footwear Retailer use RetailVision Insight to inform their location planning decisions >>

RetailVision - International

RetailVision Points and RetailVision Destinations can be collected for any market around the world, and is designed to help stakeholders understand the current retail landscape to enable smarter location and business decisions. 

RetailVision Points

A competitively priced retail locations dataset to help you benchmark competitor and affinity brands.

RetailVision Destinations

RetailVision Points are aggregated to provide a detailed illustration of the retail landscape & Opportunity Scores facilitate 'next best' location analysis. 

Applications

  • Objectively support business decisions and site feasibility assessments.
  • Develop comprehensive estate strategies, such as tactics for expansion or rationalisation.
  • Monitor market share performance and benchmark competitor brands.

Why RetailVision?

RetailVision can be delivered as a standalone dataset, as a dashboard tool within Microsoft Power BI, or can be further brought to life through our mapping tool, MVPLUS.

RetailVision - UK

RetailVision UK comprises of RetailVision Points and RetailVision Destinations which are available off-the-shelf. RetailVision UK is designed to help stakeholders understand the current retail landscape to enable smarter location and business decisions.

RetailVision Points

A competitively priced retail locations dataset with coverage of over 80,000 stores, for over 800 brands, across the UK.

RetailVision Destinations

A detailed illustration of the UK’s retail landscape with approximately 21,000 Retail Centres, combined into 13,000 Trade Zones and further grouped into 800 Super Trade Zones.

Retail locations and store locations data for location planning

RetailVision Points

Retail centre data for location planning

Retail Centres (by Type)

Retail centre data for location planning

Trade Zones (Red)

& Super Trade Zones (Grey)

Insight from RetailVision

Features

  • Our comprehensive RetailVision Points dataset identifies the geographical coverage of retailers across 27 categories (e.g. Bakery, C-Store, DIY, Fashion, Supermarket, etc). These are clustered to create RetailVision Destinations.
  • RetailVision Destinations area hierarchical geography containing: Retail Centres (c.20,000), Trade Zones (c.13,000) and Super Trade Zones (c.800). 
  • Each RetailVision Destination is classified by Type (e.g. Arcade, Retail Park, etc.). 
  • RetailVision Points and Destinations are segmented into 5 categories: Premium, Mass+, Mass, Value+, and Value. This ensures a comparative evaluation across Destinations on both the Quality and Quantity of the retail provision. 
  • GMAP’s model simulates the Bricks & Mortar Spend  in each store across the 4 product types of: 
  • The Store Revenues are then aggregated into Retail Destination Spend and an associated Retail Destination Ranking is calculated.
  • High quality Geo-Mobility Footfall Data is utilised to inform temporal market dynamics on a quarterly cycle.
  • RetailVision also includes: a Footfall Index and Catchment Range Decile Factors. 

Applications

  • Objectively support business decisions and site feasibility assessments.
  • Quantify and rank the size of the revenue opportunity for any UK Retail Centre, Trade Zone or Super Trade Zone.
  • Develop comprehensive estate strategies, such as tactics for expansion or rationalisation.
  • Monitor market share performance and benchmark competitor brands.
  • Catchment analysis to understand from where shopper spend flows originate.

Why RetailVision?

  • RetailVision can be delivered as a standalone dataset, as a dashboard tool within Microsoft Power BI, or can be further brought to life through our mapping tool, MVPLUS.
  • The RetailVision Points dataset is initially derived from PAF, Royal Mail’s most accurate and up-to-date address database.
  • The RetailVision methodology has been enhanced to account for the impacts of COVID using Geo-Mobility data and ONS retail sales data.
  • Quarterly updates.

RetailVision Dashboard Tool

Our RetailVision Dashboard Tool visualises, reports and consolidates the different RetailVision layers including RetailVision Points, our store locations dataset, and our Retail Centre, Trade Zone and Super Trade Zone RetailVision Destinations

Case Study

Geodemographic Data for a Sports Fashion Retailer
RetailVision for a Clothing & Footwear Retailer
Major Sports Fashion Clothing & Footwear Retailer use RetailVision Insight to inform their location planning decisions >>
RetailVision UK Product Sheet Enquire about RetailVision
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