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 Sakai Coffee performance in the Japan and how they change over time
See what factors influence Sakai Coffee 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 Sakai Coffee' competitors in the Japan
An analysis of Sakai Coffee' competitors in the Japan
Top-5 brands that brand's customers also visit
In Cafés & Restaurants
·Jul – Sep 25
Sakai Coffee is right in the middle
Sample of brands in the same percentile
Cafés & Restaurants
Market performance shows brand's share of foot traffic, revealing its competitive strength and customer preference in the industry.
Sakai Coffee's MARKET PERFORMANCE is at the 49th percentile, indicating a below average/lagging market position in Japan's Cafe & Restaurants industry. This percentile reflects a smaller share of customer traffic compared to competitors. Performance peers in the same percentile range include Carni Grill Tennoji, First Kitchen, Capricciosa, Steak no Don, Yamaya and Kosaku.
Customer satisfaction (CSAT) reflects customer happiness, impacting loyalty, brand reputation, and revenue growth.
Sakai Coffee's overall CSAT is 84%, a 0.8 percentage point increase year-over-year. Ehime Prefecture shows the highest CSAT at 100%, while Chiba Prefecture experienced a decrease. This indicates generally positive customer sentiment with regional variations.
Average check reveals customer spending habits, crucial for pricing strategies and revenue optimization.
Sakai Coffee's overall average check is 1.5K JPY, an 18% increase year-over-year. Shizuoka and Tochigi Prefectures have the highest average check at 1.6K JPY. This suggests increased customer spending compared to the previous year.
Outlet count indicates brand reach and market presence, influencing accessibility and brand awareness.
Sakai Coffee has the most outlets in Hyogo Prefecture (5), followed by Hokkaido and Aichi Prefectures (4 each). This distribution reflects the brand's physical presence across different regions in Japan.
Competitor analysis identifies key rivals and customer preferences, informing competitive strategies.
Sakai Coffee's top competitors based on cross-visitation are McDonald's (11.38%), Starbucks (8.94%), Komeda's Coffee (8.13%), 店 (7.72%), and Sushiro (4.88%). This indicates that customers who visit Sakai Coffee also frequent these establishments.
Traffic workload analysis optimizes staffing and resource allocation based on peak hours.
Sakai Coffee experiences peak traffic between 11 AM and 1 PM, with the highest workload at 12 PM (69.90%). Traffic is minimal during early morning hours. This data helps optimize staffing and resource allocation.
Understanding consumer segments enables targeted marketing and product development.
Sakai Coffee's customer base shows high affinity among women (index 114) and Gen X (index 183), suggesting these segments are overrepresented. Men (index 90), Gen Y (index 74), and Gen Z (index 55) are underrepresented, indicating lower affinity.