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Vinkal Chadha
Managing Partner, Global Business Development
Search among the top brands by number of locations
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
Search among the top brands by number of locations
See what factors influence 고피자 performance in the South Korea and how they change over time
See what factors influence 고피자 performance in the South Korea and how they change over time
Available by subscription
Available by subscription
An analysis of 고피자' competitors in the South Korea
An analysis of 고피자' competitors in the South Korea
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
In Cafés & Restaurants
·Jun – Aug 25
고피자 is ahead of most brands
Sample of brands in the same percentile
Cafés & Restaurants
Market performance percentile indicates brand's share of foot traffic, revealing its competitive strength and customer preference.
고피자's market performance is at the 57th percentile, positioning it as an average/above average performer in South Korea's Cafe & Restaurants industry. This indicates a solid market presence compared to peers like 육천명가, 청춘키친, 청풍안단테, Pole, 장어천하, and 멜로니벨라 카페, who are at a similar percentile.
Outlet count reflects brand reach and expansion. Growth in outlet numbers indicates market penetration and investment.
고피자 has a total of 7 outlets across South Korea. Gyeonggi has 3 outlets, Jeonbuk State has 2, while South Jeolla and Gangwon State each have 1. This distribution indicates a regional focus in outlet strategy.
Traffic workload shows peak hours, informing staffing and resource allocation. Efficiently managing these times enhances customer experience.
고피자 experiences peak traffic between 11:00 and 22:00, with the highest workload around 19:00 (47.26%). This data helps optimize staffing and resource allocation to meet customer demand during peak hours.