Search among the top brands by number of locations
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Managing Partner, Global Business Development
Search among the top brands by number of locations
See what factors influence Gyelim-Won performance in the South Korea and how they change over time
See what factors influence Gyelim-Won performance in the South Korea and how they change over time
Available by subscription
Available by subscription
Discover your traffic workload during different times of the day
Join us for a demo where we'll discuss how Realytics can support your business growth and adaptability in changing market conditions
Managing Partner, Global Business Development
An analysis of Gyelim-Won' competitors in the South Korea
An analysis of Gyelim-Won' competitors in the South Korea
Top-5 brands that brand's customers also visit
In Cafés & Restaurants
·Jun – Aug 25
Gyelim-Won is in the top 10% of brands
Sample of brands in the same percentile
Cafés & Restaurants
Market performance percentile indicates a brand's share of foot traffic, revealing its competitive strength and customer preference.
Gyelim-Won's market performance is at the 90th percentile, classifying it as a leading brand. This shows a strong market position, indicating higher customer preference. Performance peers in the same percentile: 장어사랑, 금강바베큐치킨, 팀홀튼 분당서현점, White Rabbit Tap House, 진시미엔, 화달구연탄쭈꾸미.
Number of outlets indicates market reach and expansion, reflecting brand growth and service accessibility to customers.
Gyelim-Won has 2 outlets in Gyeonggi. This indicates a focused presence in this state. The data suggests limited geographical presence, possibly indicating regional specialization.
Competitor analysis helps in understanding the competitive landscape and identifying strategic opportunities for differentiation and growth.
Customers of Gyelim-Won also visit 국제반점, 서퍼스 포케, 철이네짬뽕, CozyVilla Coffee Roasters, and Keopiaen, each with a cross-visitation rate of 20. This indicates shared customer interests across these brands.
Traffic workload analysis identifies peak hours, optimizing staffing and resource allocation for enhanced service and customer experience.
Traffic workload peaks between 17:00 and 21:00, with the highest workload at 19:00 (68.43). Very little traffic before 12:00. Staffing should be optimized to handle the evening rush.