Search among the top brands by number of locations
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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 in the lower 25% of brands
Sample of brands in the same percentile
Cafés & Restaurants
Market performance percentile shows brand's share of foot traffic, revealing its competitive strength and customer preference.
店's market performance is in the lower 25% in the Cafe & Restaurants industry in Japan, indicating a lagging position. This means the brand captures less foot traffic compared to competitors. Peers in the same percentile include 鉄板焼酒場 いくら 天神今泉店, お鮨のかど家 ルシアス店, ベトナム料理 ホァングン 渋谷文化村通り店, 信州郷土料理居酒屋 美味門 長野駅前店, Yoshihei, and 博多.
Customer satisfaction (CSAT) reflects customer happiness, impacting loyalty, retention, and brand reputation, crucial for sustainable growth.
店's overall customer satisfaction is 70%, a decrease of 0.7 percentage points year-over-year. In Kagoshima Prefecture, CSAT is 67%, down by 1.9 percentage points. The CSAT fluctuated between 58.49% and 86.21% during the reporting period, indicating variability in customer experience.
Average check reveals customer spending habits, influencing revenue strategies and profitability within the Cafe & Restaurants sector.
店's overall average check is 2.4K JPY, a slight increase of 0.1% year-over-year. In Kagoshima Prefecture, the average check is 2.6K JPY with no growth. The average check fluctuated between 2346.15 JPY and 2380 JPY during the reporting period, showing relative stability.
Outlet count indicates brand reach and market presence, reflecting expansion strategy and potential revenue generation capacity.
店 has 13 outlets in Kagoshima Prefecture, 4 in Miyazaki Prefecture, and 1 in Kumamoto Prefecture. Kagoshima Prefecture accounts for the majority of the brand's outlets, indicating a strong regional presence there.
Competitor analysis identifies key rivals, informing competitive strategies and highlighting opportunities for differentiation and market share growth.
The top competitors for 店, based on customer cross-visitation, are Joyfull (11.63%), Fukiagean (9.30%), Starbucks (9.30%), Yakiniku NABESHIMA (6.98%), and KFC (6.98%). This indicates that customers who visit 店 also frequently visit these brands.
Traffic workload analysis optimizes staffing and resource allocation, enhancing operational efficiency and customer service during peak hours.
店 experiences peak traffic workload between 11 AM and 1 PM, and again between 5 PM and 7 PM. Traffic is minimal during early morning hours. This data suggests optimal staffing levels should be maintained during peak hours to manage customer flow effectively.
Understanding consumer segments enables targeted marketing, improving engagement and ROI by tailoring strategies to specific demographics.
店's customer base shows a higher affinity towards men (146) compared to women (37). Among generations, Gen Z (237) shows the highest affinity, followed by Gen X (132), while Gen Y (64) is underrepresented. This suggests targeted marketing towards Gen Z and male consumers may be effective.