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 Kōya performance in the Japan and how they change over time
See what factors influence Kōya 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
Kōya is in the lower 25% of brands
Sample of brands in the same percentile
An analysis of Kōya' competitors in the Japan
An analysis of Kōya' 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.
Kōya's market performance is in the lower 25% in Japan's Cafe & Restaurants industry. This indicates a below average market standing compared to its competitors. Performance peers in the same percentile range 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 フードコート 前沢SA下り.
Customer satisfaction (CSAT) reflects customer happiness. Tracking CSAT helps understand loyalty and identify areas for service improvement.
Kōya's overall customer satisfaction is 55%, a decrease of 1.7 percentage points year-over-year. In Kanagawa Prefecture, CSAT is 33%, a significant decrease of 29.2 percentage points. The CSAT trend shows a decline from June (60.53%) to August (50%) 2025, indicating potential service or quality issues.
Number of outlets indicates brand reach. Tracking outlet count helps assess expansion and market penetration strategies.
Kōya has 1 outlet in Kanagawa Prefecture. This represents 100% of its outlets reported. There is no growth data available, indicating a stable presence in the region during the reporting period.
Competitor analysis identifies key rivals. Understanding competitors' strengths and weaknesses informs strategic positioning and differentiation efforts.
Kōya's top competitors, based on customer cross-visitation, are McDonald's (7.32%), Ippudo (7.32%), Butayama (7.32%), Tonkatsu Meguro Kogane (4.88%), and Mita Seimenjo (4.88%). This indicates that customers who visit Kōya also frequent these brands, suggesting they compete for the same customer base.
Traffic workload shows peak hours. Understanding traffic patterns helps optimize staffing and resource allocation for better customer service.
Kōya experiences peak traffic workload between 11:00 and 21:00, with the highest workload at 13:00 (63.55%). Traffic is minimal between 22:00 and 10:00. This data suggests optimal staffing during peak hours to manage customer flow effectively.
Consumer segments inform targeted marketing. Understanding demographics helps tailor campaigns and product offerings to specific customer groups.
Kōya's customer base shows a high affinity for women (79%), while men are under-indexed (116%). Gen X is overrepresented (199%), while Gen Y is underrepresented (64%). Gen Z shows a higher affinity (119%). This suggests targeted marketing towards women, Gen X and Gen Z could be effective.