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
·Aug – Oct 25
店 is ahead of most brands
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 percentile shows brand's share of foot traffic, revealing its competitive strength and customer preference in the industry.
店's market performance is at the 56th percentile, indicating an average/above average market position. This means 店 captures more foot traffic than 56% of its competitors in the Cafe & Restaurants industry in Japan. Performance peers in the same percentile include Papa Milano, Yakiniku Koko Kara, Torafugutei, Tsukishima Monja Kuuya Shibuya, A Happy Pancake, and Steak House 88.
Customer satisfaction (CSAT) reflects customer happiness, impacting loyalty and brand reputation. High CSAT scores often correlate with repeat business and positive word-of-mouth.
店's overall customer satisfaction is 80%, a 1.8 percentage point increase year-over-year. Oita Prefecture shows the highest CSAT at 96%, while Nagano Prefecture experienced a decrease. This indicates generally positive customer experiences, with regional variations that may warrant further investigation.
Average check reveals spending per customer, crucial for revenue insights. Monitoring trends helps optimize pricing and promotions to boost profitability.
店's average check is 2.6K JPY, up 12.4% year-over-year. Nara Prefecture has the highest average check at 3.9K JPY. The upward trend suggests customers are spending more per visit, potentially due to menu changes or successful upselling strategies.
Outlet count indicates brand reach and market presence. Expansion reflects growth, while strategic distribution impacts accessibility and revenue potential.
店 has the most outlets in Osaka Prefecture (6), followed by Kanagawa and Saitama Prefectures (5 each). This distribution highlights key markets for the brand, with potential opportunities for expansion in other regions.
Competitor analysis identifies key rivals and customer preferences. Cross-visitation reveals shared audiences, informing competitive strategies and marketing efforts.
店's customers also frequently visit 店 (9.09%), McDonald's (8.14%), 店 (6.44%), Sukiya (6.25%), and Starbucks (5.68%). This indicates these brands are key competitors, sharing a significant portion of 店's customer base.
Traffic workload by hour reveals peak times, enabling efficient staffing and resource allocation. Understanding customer flow optimizes service and maximizes revenue.
店 experiences peak traffic between 17:00 and 20:00, with the highest workload at 19:00 (62.82). Traffic is minimal between 0:00 and 9:00. This data informs staffing and promotional strategies to manage peak demand effectively.
Analyzing consumer segments by gender and generation informs targeted marketing. Affinity insights guide positioning strategies to resonate with key demographics.
店's customer base shows a high affinity towards women (86%) and men (110%). Gen X is overrepresented (124%), while Gen Z is underrepresented (56%). This suggests marketing efforts should focus on Gen X and consider strategies to attract Gen Z.