Book a demo—
Join us for a demo where we'll discuss how Realytics can support your business growth and adaptability in changing market conditions
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
In Cafés & Restaurants
·Jul – Sep 25
店 is right in the middle
Sample of brands in the same percentile
An analysis of 店' competitors in the Japan
An analysis of 店' competitors in the Japan
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 Cafe & Restaurants industry.
店's market performance is at the 48th percentile, indicating a below average/lagging position. This suggests the brand captures less foot traffic compared to competitors. Performance peers in the same percentile range include Eel Hitsumabushi Sumiyagura, 餃子壱兆 川崎本店, Rokunomiya Namba Dotonbori store, 餃子のかっちゃん 川崎店, Gatten Zushi, and DartsUP梅田茶屋町店.
Customer satisfaction (CSAT) reflects customer happiness, impacting loyalty and brand reputation in the competitive Cafe & Restaurants market.
店's overall CSAT is 73%, a 1.2pp increase year-over-year, indicating improved customer happiness. Kyoto and Niigata Prefectures show high CSAT (94%), while Oita Prefecture shows a decrease. This suggests regional variations in customer experience.
Average check (transaction value) indicates customer spending habits, influencing revenue and profitability in the Cafe & Restaurants sector.
店's overall average check is 2.8K JPY, a 10% increase year-over-year, suggesting customers are spending more. Aomori Prefecture has the highest average check (7.3K JPY), while Saitama Prefecture has the lowest (1.8K JPY), revealing regional spending differences.
Outlet count reflects brand reach and market presence, influencing accessibility and customer convenience in the Cafe & Restaurants industry.
店 has the most outlets in Kanagawa Prefecture (13), followed by Saitama Prefecture (10) and Chiba Prefecture (8). This distribution indicates a stronger presence in these regions, potentially influencing brand awareness and customer access.
Competitor analysis identifies key rivals, informing strategies to gain market share and customer loyalty in the Cafe & Restaurants landscape.
店's customers also frequently visit 店, McDonald's, Starbucks, and Saizeriya. This cross-visitation data highlights these brands as key competitors, suggesting similar customer preferences and potential areas for competitive differentiation.
Traffic workload analysis reveals peak hours, enabling efficient staffing and resource allocation in the Cafe & Restaurants business.
店 experiences peak traffic between 17:00 and 20:00, with the highest workload at 19:00 (59.84). Traffic is minimal between 0:00 and 8:00. This data informs staffing and resource allocation to meet customer demand during peak hours.
Understanding consumer segments allows targeted marketing, improving engagement and brand resonance in the Cafe & Restaurants market.
Women are overrepresented (73%) compared to men (120%). Gen Z shows high affinity (203%), while Gen X (91%) and Gen Y (55%) are underrepresented. This suggests targeted marketing towards Gen Z and understanding the preferences of female customers.