GMAP Consulting is part of the Callcredit Information Group alongside EuroDirect, Callcredit, Legatio, DecisionMetrics & Broadsystem
RetailVision Centres
RetailVision Centres data enables you to understand the extent of the UK’s retail landscape and compare different shopping destinations using advanced mapping and data query tools.
- Available as a standalone file or as an additional dataset in our MICROVISION systems.
- It provides a comprehensive mapping overlay of all the shopping destinations in the UK, which currently equates to over 4,800 individual retail destinations.
- The dataset also incorporates a wealth of centre specific variables, including:
Variable | Description | ||
|---|---|---|---|
| Centre Name | Over 4,800 retail centre names, e.g. Birmingham, Trafford Centre, Oxford Street etc. | ||
| Grid Co-ordinates | Ordnance Survey X and Y Co-ordinates | ||
| Geographical Zone | Geographical zone that the retail centre belongs to: Post Sector or Output Area | ||
| Centre Type |
|
- Valuable statistics are also available allowing you to gauge the competitiveness and attractiveness of each retail centre based upon which have the greatest magnetism:
Variable | Description |
|---|---|
| Centre Weighting $ / Attractiveness Score | Attractiveness Score (1-100), differentiating the attractiveness of each retail centre. The higher the number the higher the attractiveness of the centre. The attractiveness score is derived using a mix of multiple retailer types (e.g. retail, leisure, automotive and financial) and combines their brand attractiveness based on their average annual turnover. |
| Centre Ranking | Each centre is ranked according to their standardised Centre Weighting / Attractiveness Score, providing an easy to use ranking from low to high, where the centre with the highest attraction is ranked as 1. This gives an instant impression of the comparative strength of a centre. |
| Centre Demand | These are aggregated centre spend estimates built using market research data from Mintel for each retail brand alongside measures of outlet size. These provide an estimate of the total predicted annual sales for all retailers in each centre (multiple retailers only). |
| Retail Breakdown | This provides counts of all retailers within each retail centre split by their retail category, e.g. the number of chemists, bookshops, jewellers etc. Please see the listing of retail categories on the RetailVision Locations product sheet for further details. |
$ A pure retail weight is also available – this concentrates solely on high street retailers and excludes banks, building societies and estate agents.
- Compiled using over 200,000 records from the RetailVision Locations database and annual sales per outlet data for nearly 900 retailers from the latest UK Retail Rankings report published by Mintel.
- Rebuilt bi-annually to include the very latest retail locations and rankings data, enabling
retailers to monitor changing market trends and consumer patterns in their retail environments.
- In between builds, retail weightings can be changed manually by the user, for example if a retail outlet is opened, closed or refurbished, to capture the most up-to-date market picture.
RetailVision Centres Data Applications
- Use as a key component in all areas of retail location analysis.
- Identify what types of centre each of your outlets is located in, understand the retail strength of each centre and how this could be impacting on individual outlet performance.
- Combine with your own sales and outlet data to define realistic sales targets for individual outlets and benchmark turnover.
- Identify which retail centres provide the most competition and either consider a relocation strategy or focus local marketing around these areas to attract consumers whilst also developing more attractive product ranging and store environment strategies.
- Combine with RetailVision Locations data to identify which retailers and the mix of retailers that you are competing with in the same retail centre.
- Monitor changes in your retail environment and identify emerging or declining shopping destinations so that investment or divestment strategies can be implemented.