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Vinkal Chadha
Managing Partner, Global Business Development
Search among the top café & restaurant 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 10,053 café & restaurant brands by number of locations
Search among the top café & restaurant brands by number of locations
In Cafe & Restaurants
·May – Jul 25
Tokyo Abura Soba is in the top 1% of brands
Sample of brands in the same percentile
See what factors influence Tokyo Abura Soba performance in the Japan and how they change over time
See what factors influence Tokyo Abura Soba performance in the Japan and how they change over time
Available by subscription
Available by subscription
An analysis of Tokyo Abura Soba' competitors in the Japan
An analysis of Tokyo Abura Soba' competitors in the Japan
Top-5 brands that brand's customers also visit
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 Cafe & Restaurants
In Cafe & Restaurants
Search among the top 10,053 café & restaurant brands by number of locations
Cafe & Restaurants
Market performance percentile shows the brand’s share of foot traffic, revealing its competitive strength and customer preference in the industry.
Tokyo Abura Soba holds a leading position with a 99th percentile, indicating it captures significant customer traffic. This places it in the top 1% of brands, showing strong customer preference relative to peers like Yakitori Haretsubame, Din Tai Fung, 牡蠣と和牛の奴隷, Chinese Ramen Yoshu-Shonin, Moumoutei, and Steak Lodge, all also at the 99th percentile.
Customer satisfaction (CSAT) reflects brand perception and loyalty. Monitoring CSAT helps identify areas for improvement and predict future performance.
Overall CSAT for Tokyo Abura Soba is 70%, a decrease of 6 percentage points year-over-year, indicating a potential decline in customer perception. CSAT varies by location, with Osaka and Ehime Prefectures at 76% but Saitama and Ibaraki showing lower satisfaction. This suggests regional variations in customer experience needing investigation.
Average check indicates customer spending per visit. Monitoring this KPI can reveal revenue trends and inform pricing strategies.
The overall average check is 932.20 JPY, a 1.2% increase year-over-year, indicating customers are spending slightly more. Shiga Prefecture shows an average check of 954.50 JPY, while Fukuoka Prefecture shows 863.60 JPY. These locational differences suggest variations in menu preferences or customer demographics.
The number of outlets indicates brand reach and expansion. Tracking outlet distribution highlights key markets and growth potential.
Tokyo Abura Soba has multiple outlets across Japan, with Fukuoka and Saitama Prefectures leading with 3 each. Osaka has 2 outlets, while Hokkaido, Aichi, Ehime, Toyama, Ibaraki, Shiga, and Kagawa each have 1. This distribution shows a dispersed presence across different regions.
Identifying key competitors through cross-visitation patterns reveals direct market rivals and opportunities for differentiation and strategic positioning.
McDonald's and Starbucks are the top competitors with a cross-visitation of 8.23%, indicating a significant overlap in customer base with Tokyo Abura Soba. Saizeriya follows at 6.99%, with Yoshinoya and Sukiya at 5.76%. This shows that many Tokyo Abura Soba customers also visit these popular chains.
Understanding traffic workload by hour helps optimize staffing and resources, ensuring efficient service during peak times and minimizing costs during off-peak hours.
Traffic workload peaks between 11 AM and 10 PM, with the highest traffic around 12 PM and 1 PM, reaching 62.89% and 62.12% respectively. Traffic is minimal between midnight and 10 AM, indicating the need for adjusted staffing and operational strategies to match customer demand throughout the day.
Analyzing consumer segments by Gender and Generation informs targeted marketing. Affinity insights can strategically improve the brand positioning.
Women have an affinity index of 92, indicating under-representation, while men index at 105, showing higher-than-average affinity. Gen X shows an under-indexed value of 78. Gen Y at 102 and Gen Z at 139 are over-represented, indicating high affinity. These insights allow for refined targeting based on generational and gender preferences.