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
·Aug – Oct 25
店 is in the top 19% of brands
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 at the 81st percentile, indicating an above average market standing in the Cafe & Restaurants industry in Japan. This means 店 outperforms many competitors in attracting customers. Performance peers in the adjacent percentile range include Hama Sushi, Gyukatsu Motomura, Ittoku, and Sukiya.
Customer satisfaction reflects brand perception and loyalty, directly impacting retention and revenue growth. High CSAT scores indicate a strong customer base.
店's overall customer satisfaction (CSAT) is 66%, a 1.1 percentage point increase year-over-year. Tokushima Prefecture shows the highest CSAT at 81%, with a significant growth of 29.9 percentage points. Kyoto Prefecture shows a decrease of 1.2 percentage points, with a CSAT of 77%.
Average check reveals customer spending habits, crucial for pricing strategies and revenue forecasting. Monitoring trends helps optimize profitability.
店's overall average check is 1K JPY, a 23.9% increase year-over-year. Okinawa Prefecture has the highest average check at 1.3K JPY. Kyoto, Shizuoka, and Iwate Prefectures each have an average check of 1.2K JPY.
Outlet count indicates brand reach and market penetration. Growth in outlets often correlates with increased brand visibility and revenue potential.
店 has the most outlets in Kanagawa Prefecture (59), followed by Osaka Prefecture (43) and Saitama Prefecture (42). This distribution highlights key regions for 店's presence in Japan.
Competitor analysis identifies key rivals and customer overlap, informing strategies to differentiate and capture market share effectively.
McDonald's (15.18%) and Sukiya (11.84%) are the top competitors with the highest cross-visitation from 店's customers. 店 itself has a cross-visitation of 10.03%. Yoshinoya (8.96%) and Starbucks (6.19%) also show notable customer overlap.
Traffic workload analysis optimizes staffing and resource allocation, ensuring efficient service during peak hours and maximizing customer satisfaction.
店 experiences peak traffic workload between 19:00 and 20:00 (63.52% and 62.97% respectively). Traffic is lowest between 2:00 and 4:00. This data informs staffing and operational decisions.
Understanding consumer segments enables targeted marketing, tailoring products and messaging to resonate with specific demographic groups for higher engagement.
Women are overrepresented among 店's consumers (69% affinity), while men are significantly overrepresented (123% affinity). Gen X shows a high affinity (134%), while Gen Y (85%) and Gen Z (77%) are underrepresented.