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Vinkal Chadha
Managing Partner, Global Business Development
Search among the top café & restaurant 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 10,053 café & restaurant brands by number of locations
Search among the top café & restaurant brands by number of locations
In Cafe & Restaurants
·May – Jul 25
山内 is in the top 1% of brands
Sample of brands in the same percentile
See what factors influence 山内 performance in the Japan and how they change over time
See what factors influence 山内 performance in the Japan and how they change over time
Available by subscription
Available by subscription
An analysis of 山内' competitors in the Japan
An analysis of 山内' competitors in the Japan
Top-5 brands that brand's customers also visit
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 Cafe & Restaurants
In Cafe & Restaurants
Search among the top 10,053 café & restaurant brands by number of locations
Cafe & Restaurants
Market performance percentile reveals competitive strength and customer preference, indicating brand's share of foot traffic in the industry.
山内, with a market performance of 99, is a leading brand, ranking in the top 1%. This indicates strong customer preference and a significant competitive advantage. Performance peers include Billy the Kid, Izakaya Maumu, 居酒屋 神田 寅鈴 新日本橋, Shabu Shabu, Nogata Hope, and Kojimaya Sohonten, all within the same percentile range.
Customer satisfaction is vital, showing loyalty. Tracking it helps tailor services, boosting brand image and repeat visits.
山内's overall customer satisfaction is 57%, a decrease of 6.5 percentage points year-over-year. Satisfaction in Fukuoka Prefecture is 61% with a decrease of 9.1 percentage points. Nara Prefecture shows a significantly lower satisfaction at 38%, with a substantial decrease of 50.7 percentage points. This indicates a need to address customer concerns, particularly in Nara Prefecture.
Outlet count shows brand reach. Tracking changes informs expansion, aiding resource allocation and strategic market penetration.
山内 has the highest number of outlets in Chiba Prefecture (7), followed by Saitama Prefecture (6), Aichi Prefecture (5), and Kanagawa and Ibaraki Prefectures (4 each). Hokkaido has 3 outlets, while Miyagi, Osaka, Fukushima, and Kagoshima each have 2. This geographic distribution indicates a strong presence in the Chiba region with opportunities for expansion elsewhere.
Knowing competitors reveals market dynamics. Identifying overlapping customers informs strategies to gain market share and improve offers.
McDonald's (13.39%), 店 (11.61%), Starbucks (8.93%), Sukiya (8.04%), and Yoshinoya (7.14%) are top competitors of 山内 based on customer cross-visitation. This means that 山内's customers also frequently visit these brands, suggesting potential areas for 山内 to differentiate its offerings.
Traffic workload reveals peak hours. Knowing when customers visit helps optimize staffing and service, enhancing customer experience.
Traffic workload for 山内 peaks between 19:00 and 21:00, with the highest traffic at 20:00 (55.27%). Traffic is significantly lower during the morning and afternoon, with minimal activity between 03:00 and 08:00. This indicates that 山内 is primarily a dinner and late-night dining destination.
Consumer segments guide marketing. Knowing gender and generation helps tailor campaigns, maximizing engagement and brand resonance.
Women are over-represented in 山内's customer base (78 affinity index), while men are more significantly over-represented (113 affinity index). Gen X is highly over-represented (135 affinity index), while Gen Y (84 affinity index) and Gen Z (80 affinity index) are under-represented. This data suggests targeted marketing towards under-represented groups.