Search among the top brands by number of locations
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Managing Partner, Global Business Development
See what factors influence Umagena performance in the Japan and how they change over time
See what factors influence Umagena performance in the Japan 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 Umagena' competitors in the Japan
An analysis of Umagena' competitors in the Japan
Search among the top brands by number of locations
Top-5 brands that brand's customers also visit
In Cafés & Restaurants
·Jun – Aug 25
Umagena is in the top 4% of brands
Sample of brands in the same percentile
Cafés & Restaurants
Market performance percentile reveals competitive strength and customer preference in the industry.
Umagena holds the 96th percentile, a leading position in the Japanese Cafe & Restaurants industry. This signifies a substantial brand share, indicating strong customer preference versus peers like St.moritz, SHIRAHAMA KEY NOODLE だきしめ鯛, mumokuteki cafe, Kokubunji Soba, 一期 豊田店, and 唐苑, who share the same percentile.
Outlet distribution shows market coverage and expansion strategy, influencing accessibility.
Umagena has a presence in 6 prefectures. Kanagawa Prefecture leads with 4 outlets, followed by Saitama and Aichi Prefectures with 3 each. This geographical distribution highlights Umagena's market penetration in specific regions of Japan.
Identifying top competitors informs strategic positioning and competitive advantage.
Umagena's customers also frequent 店 (23.81%), Ringer Hut (19.05%), and Marugame Seimen (19.05%), Yoshinoya (14.29%), Yomenya Goemon (14.29%). These brands represent Umagena's primary competitors in the Japanese Cafe & Restaurants market.
Understanding traffic workload by hour optimizes staffing and resource allocation.
Traffic workload peaks between 12:00 and 19:00, reaching a high of 58 at 12:00. There is no traffic between 0:00 and 9:00, and after 20:00, suggesting a need to optimize staffing and marketing during peak hours.