A Sports Fashion Clothing & Footwear Retailer - RetailVision

 Case Study

RetailVision Data For a Clothing & Footwear Retailer

Major Sports Fashion Clothing & Footwear Retailer use RetailVision Insight to inform their location planning decisions.

Case Study

RetailVision Data For a Clothing & Footwear Retailer

Major Sports Fashion Clothing & Footwear Retailer use RetailVision Insight to inform their location planning decisions.

The Challenge

A major international Sports Fashion Clothing & Footwear Retailer were looking for an objective way to compare and analyse their market share across the UK retail landscape with an off-the-shelf dataset which is regularly updated and could support them in self-serving their location planning. 


The Approach

GMAP delivered UK RetailVision Destinations to the Sport Fashion Retailer’s Insight team as an off-the-shelf dataset to be used in-house. 


The Conclusion

  • RetailVision allows the Retailer to objectively and geographically examine their existing estate compared to the surrounding retail landscape. This can be used to answer questions such as: are they in the highest-ranking Centres for their product type?
  • Retail Centre Revenues are analysed to benchmark the performance of each of the Retailer’s UK stores, and quickly highlight stores with low performance compared to the estimated Retail Centre Revenue.
  • Centre Type analysis can be used to objectively determine their Centre Type recipe for high performance, for example: do they perform better on ‘Mass’ Retail Parks? This Insight can be used to find opportunities in new Centres classified as ‘Mass’ Retail Parks where there could be missed opportunity.
  • Centre-level Footfall Data allows the Retailer to observe whether low-performing stores could be the result of low footfall, and therefore could be relocated to nearby Centres with higher Footfall.
  • Analysts in the Insight team can quickly and consistently evaluate properties for potential new sites sent from the property acquisitions team using RetailVision. Consistent statistics from RetailVision can be quickly pulled into board-level presentations when pitching a new site.
  • The Insight team can hold RetailVision data in their own database and visualise the data geographically in their existing in-house GIS or other business intelligence tools. 
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The Challenge

A major international Sports Fashion Clothing & Footwear Retailer were looking for an objective way to compare and analyse their market share across the UK retail landscape with an off-the-shelf dataset which is regularly updated and could support them in self-serving their location planning. 


The Approach

GMAP delivered UK RetailVision Destinations to the Sport Fashion Retailer’s Insight team as an off-the-shelf dataset to be used in-house. 

Enquire for GMAP Location Intelligence

Get in touch to find out how our location planning consultancy and location intelligence data and software solutions could support your business.


Contact Us

The Conclusion

  • RetailVision allows the Retailer to objectively and geographically examine their existing estate compared to the surrounding retail landscape. This can be used to answer questions such as: are they in the highest-ranking Centres for their product type?
  • Retail Centre Revenues are analysed to benchmark the performance of each of the Retailer’s UK stores, and quickly highlight stores with low performance compared to the estimated Retail Centre Revenue.
  • Centre Type analysis can be used to objectively determine their Centre Type recipe for high performance, for example: do they perform better on ‘Mass’ Retail Parks? This Insight can be used to find opportunities in new Centres classified as ‘Mass’ Retail Parks where there could be missed opportunity.
  • Centre-level Footfall Data allows the Retailer to observe whether low-performing stores could be the result of low footfall, and therefore could be relocated to nearby Centres with higher Footfall.
  • Analysts in the Insight team can quickly and consistently evaluate properties for potential new sites sent from the property acquisitions team using RetailVision. Consistent statistics from RetailVision can be quickly pulled into board-level presentations when pitching a new site.
  • The Insight team can hold RetailVision data in their own database and visualise the data geographically in their existing in-house GIS or other business intelligence tools. 
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