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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
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
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
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
Available by subscription
Available by subscription
See what factors influence NANGOKUSYUKA performance in the Japan and how they change over time
See what factors influence NANGOKUSYUKA performance in the Japan and how they change over time
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
Discover your traffic workload during different times of the day
In Cafés & Restaurants
In Cafés & Restaurants
An analysis of NANGOKUSYUKA' competitors in the Japan
An analysis of NANGOKUSYUKA' competitors in the Japan
Top-5 brands that brand's customers also visit
In Cafés & Restaurants
·Jul – Sep 25
NANGOKUSYUKA is in the lower 30% of brands
Sample of brands in the same percentile
Cafés & Restaurants
Market performance shows brand's share of foot traffic, revealing its competitive strength and customer preference in the industry.
NANGOKUSYUKA's market performance is in the lower 30%, indicating a below-average market standing. This suggests that the brand captures less foot traffic compared to its competitors. Performance peers in the same percentile range include Kobe Beef Daia Teppan-Yaki Kabukicho, 君のハンバーグを食べたい イオンモール大和店, CURRY CURRY, 炭火焼肉ホルモン モツの元ちゃん, UshiAburi 名駅店, and Onomichi Ramen Itchō.
Outlet count indicates brand reach and growth. Tracking distribution across regions helps assess market penetration and expansion opportunities.
NANGOKUSYUKA has a presence in multiple prefectures in Japan. Kanagawa Prefecture has the highest number of outlets (3), followed by Ibaraki Prefecture (2). Toyama, Saitama, Niigata, and Ishikawa Prefectures each have 1 outlet. This distribution shows a concentration of outlets in Kanagawa and Ibaraki.
Competitor analysis identifies key rivals and customer overlap. Understanding cross-visitation patterns informs strategies to attract and retain customers.
The top competitors for NANGOKUSYUKA, based on customer cross-visitation, are 店 (9.59%), Starbucks (9.59%), 店 (9.59%), Saizeriya (6.85%), and Tully's Coffee (6.85%). This indicates that customers who visit NANGOKUSYUKA also frequently visit these brands, suggesting they offer similar or complementary products/services.
Traffic workload analysis reveals peak hours, enabling efficient staffing and resource allocation to optimize customer service and operational efficiency.
NANGOKUSYUKA experiences peak traffic workload between 11:00 and 20:00, with the highest workload around 13:00 (59.93%). There is no traffic from 0:00 to 10:00 and from 22:00 to 23:00. This data suggests that the restaurant is busiest during lunch and dinner hours.
Consumer segment analysis informs targeted marketing. Understanding gender and generational preferences enables tailored campaigns and product development.
NANGOKUSYUKA's customer base shows a high affinity for women (86%) and men (110%). Gen X shows very high affinity (253%), while Gen Y shows affinity (52%). This suggests that marketing efforts should consider the preferences and behaviors of Gen X and Gen Y.