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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 Volks performance in the Japan and how they change over time
See what factors influence Volks 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 Volks' competitors in the Japan
An analysis of Volks' competitors in the Japan
In Cafés & Restaurants
·Jul – Sep 25
Volks is right in the middle
Sample of brands in the same percentile
Top-5 brands that brand's customers also visit
Cafés & Restaurants
Market performance reveals brand's share of foot traffic, showing competitive strength and customer preference in the industry.
Volks holds the 46th percentile in Japan's Cafe & Restaurants industry, indicating a below average/lagging market position. This means Volks captures less foot traffic than most competitors. Performance peers in the same percentile range include Wagyu Ramen Goku, Europe-ken, Cannery Row, Unatoto, Oyster and Japanese Wagyu "Shinagawa Shoten", and Kyoto Hyoto.
Customer satisfaction (CSAT) reflects customer happiness, impacting loyalty, brand reputation, and revenue growth.
Volks' overall CSAT is 77%, a slight decrease of 0.8pp year-over-year. Saitama Prefecture shows the highest CSAT at 83% with significant growth, while Kyoto Prefecture shows a decrease. This suggests regional differences in customer experience that need attention.
Average check (transaction value) indicates customer spending habits and revenue potential per visit.
Volks' overall average check is 2.6K JPY, down 2.3% year-over-year. Fukuoka Prefecture has the highest average check at 2.8K JPY. Saitama Prefecture has the lowest average check at 2.2K JPY. This suggests potential pricing or menu adjustments may be needed.
Outlet count reflects brand reach and market presence, influencing accessibility and revenue potential.
Volks has the most outlets in Kanagawa Prefecture (7), followed by Fukuoka and Osaka Prefectures (5 each). This distribution indicates regional focus areas for the brand's physical presence in Japan.
Competitor analysis identifies key rivals and customer preferences, informing competitive strategies.
Volks' customers also frequently visit 店 (13.58%), McDonald's (10.93%), Sushiro (5.63%), 店 (5.63%), and Sukiya (5.30%). This cross-visitation data highlights key competitors and potential areas for differentiation.
Traffic workload analysis reveals peak hours, enabling efficient staffing and resource allocation.
Volks experiences peak traffic between 11 AM and 2 PM, with the highest workload at 12 PM (74.11). Traffic is minimal during early morning hours. This data informs staffing and promotional strategies.
Consumer segment analysis informs targeted marketing by understanding demographic preferences.
Volks' customer base shows a high affinity towards women (index 72) and men (index 120). Gen X (index 137) shows the highest affinity, while Gen Z (index 25) is underrepresented. This suggests targeted marketing towards Gen X and an opportunity to engage Gen Z.