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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 店 performance in the Japan and how they change over time
See what factors influence 店 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 店' competitors in the Japan
An analysis of 店' competitors in the Japan
In Cafés & Restaurants
·Jul – Sep 25
店 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 shows brand's share of foot traffic, revealing its competitive strength and customer preference in the industry.
店's market performance is average/above average at the 47th percentile. This indicates a moderate market presence. Performance peers in the same percentile: 和牛と土鍋ご飯 炭火焼肉こたろう 黒川本店, だるま, Hokkaido Seafood Nihonichi, 鶏と豚の縁処 ゆうな, Kyoto Tempura Tententen Kyoto Station, Okoge.
Customer satisfaction is crucial for loyalty and growth. Tracking CSAT helps understand customer perception and identify areas for improvement.
Overall customer satisfaction for 店 is 57%, a decrease of 7.6 percentage points year-over-year. Hyogo Prefecture shows the highest CSAT at 64%, but a decrease of 9.4 percentage points. Osaka Prefecture also shows 64% CSAT, with a slight increase of 0.8 percentage points.
Average check reflects spending per customer. Monitoring this KPI helps assess pricing strategies and customer value.
The overall average check for 店 is 1.7K JPY, a 20.7% increase year-over-year. Kanagawa Prefecture has the highest average check at 2.6K JPY. Hyogo Prefecture's average check is 1.8K JPY, while Osaka Prefecture's is 1.3K JPY.
Outlet count indicates brand reach. Tracking outlet distribution helps assess market penetration and expansion efforts.
店 has the most outlets in Osaka Prefecture (36), followed by Hyogo and Saitama Prefectures (8 each). Kanagawa Prefecture has 6 outlets, while Nara and Aichi Prefectures each have 5 outlets.
Competitor analysis identifies key rivals. Understanding cross-visitation patterns informs competitive strategies and market positioning.
Top competitors for 店 based on cross-visitation are McDonald's (12.73%), 店 (10.91%), 店 (7.64%), Yoshinoya (6.55%), and Gyoza no Ohsho (6.55%). This indicates shared customer bases and potential areas for differentiation.
Traffic workload reveals peak hours. Understanding traffic patterns helps optimize staffing and resource allocation.
Traffic workload for 店 peaks between 11 AM and 7 PM, with the highest traffic around 12 PM (60.45%). Traffic is minimal during early morning hours (12 AM to 5 AM).
Consumer segments inform targeted marketing. Understanding gender and generational mix helps tailor messaging and product offerings.
Women are over-represented (99 affinity index) and Men are over-represented (101 affinity index). Gen X is highly over-represented (183 affinity index), while Gen Y is slightly under-represented (89 affinity index).