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Vinkal Chadha
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
See what factors influence Jiyū Kūkan performance in the Japan and how they change over time
See what factors influence Jiyū Kūkan performance in the Japan and how they change over time
Available by subscription
Available by subscription
Discover your traffic workload during different times of the day
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
In Cafés & Restaurants
In Cafés & Restaurants
An analysis of Jiyū Kūkan' competitors in the Japan
An analysis of Jiyū Kūkan' competitors in the Japan
Top-5 brands that brand's customers also visit
In Cafés & Restaurants
·Jun – Aug 25
Jiyū Kūkan is in the top 1% of brands
Sample of brands in the same percentile
Cafés & Restaurants
Market Performance reveals brand’s share of foot traffic, reflecting competitive strength and customer preference in the Cafe & Restaurants industry.
Jiyū Kūkan's Market Performance stands at the 99th percentile, marking it as a leading brand in Japan's Cafe & Restaurants sector. This top 1% position indicates a strong market presence and high customer preference relative to its competitors. Performance peers include 麺道しゅはり 三宮センタープラザ店, Mozzarella Kobe Sannomiya Honten, Gurume Conveyor Belt Sushi, Mokkun, 「海の時間」Oyster Restaurant, and Azusa, all positioned within a similar high-performing range.
Customer Satisfaction reflects customer loyalty, impacting brand perception and revenue, crucial for spotting improvement areas and benchmarking against competitors.
Jiyū Kūkan's overall customer satisfaction (CSAT) is 58%, a 13.2 percentage point increase year-over-year. CSAT varies by location: Tochigi Prefecture shows high satisfaction (82%), while Saitama Prefecture is lower (30%). Trends show CSAT fluctuating between 52.94% and 62.32% during the observed period, highlighting the need for localized strategies to address specific regional satisfaction levels.
Outlet count indicates brand reach, market penetration, and growth trajectory, which drives accessibility and can correlate with brand awareness.
Jiyū Kūkan has a total of 15 outlets across Japan. Niigata Prefecture leads with 3 outlets. Hokkaido and Tochigi Prefecture and Nagano Prefecture each have 2 outlets. Oita Prefecture, Kanagawa Prefecture, Tottori Prefecture, Fukuoka Prefecture, Yamaguchi Prefecture and Kumamoto Prefecture each have 1. This distribution shows a varied regional presence.
Competitor analysis informs strategic positioning, pinpoints competitive threats and opportunities, essential for sustainable competitive advantage.
The top competitors for Jiyū Kūkan, based on cross-visitation, are Kaikatsu Club (14.42%), McDonald's (13.46%), 店 (11.54%), Yoshinoya (9.62%), and 店 (9.62%). This data shows the other brands Jiyū Kūkan's customers also visit, defining the competitive landscape.
Traffic Workload identifies peak hours, essential for staffing, resource allocation, and promotional timing, optimizing operational efficiency.
Traffic workload at Jiyū Kūkan varies throughout the day, peaking between 18:00 and 22:00, with a high of 57.34% at 22:00. The lowest traffic workload is between 3:00 and 5:00, with a low of 20.86% at 4:00. This workload by hour-of-day indicates when Jiyū Kūkan experiences the highest and lowest customer activity.
Consumer Segments helps tailor marketing via demographic insights, maximizing engagement by aligning messaging with specific groups.
Women show higher affinity (80) than average, while men are over-represented (113) relative to the average consumer. The Gen X affinity is also over-represented (133), Gen Y is slightly under-represented (96), and Gen Z is over-represented(117). These affinity indices suggest differences in engagement across demographic segments, indicating focus areas for targeted campaigns.