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 Go Go performance in the Japan and how they change over time
See what factors influence Go Go 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
Go Go is right in the middle
Sample of brands in the same percentile
An analysis of Go Go' competitors in the Japan
An analysis of Go Go' competitors in the Japan
Top-5 brands that brand's customers also visit
Cafés & Restaurants
Market performance percentile reflects brand's share of foot traffic, revealing its competitive strength and customer preference.
Go Go's market performance is at the 49th percentile, indicating a below average/lagging position in Japan's Cafe & Restaurants industry. This suggests Go Go has a smaller market share compared to its competitors. Performance peers in the same percentile range include Carni Grill Tennoji, Shinjidai Kyoto Kawaramachi Sanjo Ten, Dynamic Kitchen & Bar Hibiki Yokohama Sky Building, Steak no Don, Donmaru, and Misen.
Customer satisfaction (CSAT) is crucial for brand loyalty and growth, reflecting how well Go Go meets customer expectations.
Go Go's overall CSAT is 76%, a slight decrease of 0.4 percentage points year-over-year. Osaka Prefecture shows the highest CSAT at 81% with significant growth, while Fukuoka Prefecture has the lowest at 68% with a notable decrease. This indicates regional variations in customer experience.
Average check reveals customer spending habits, impacting revenue and profitability for Go Go in the Cafe & Restaurants sector.
Go Go's overall average check is 1.2K JPY, a 26.9% increase year-over-year. Osaka Prefecture has the highest average check at 1.3K JPY, while Ishikawa Prefecture's average check is 1.1K JPY. This suggests increased customer spending compared to the previous year.
Outlet count indicates brand reach and market presence, influencing customer accessibility and overall revenue potential.
Go Go has the most outlets in Ishikawa Prefecture (17), followed by Kanagawa Prefecture (7). Other prefectures have fewer outlets, indicating a concentrated presence in specific regions. This distribution impacts brand visibility and customer access across Japan.
Identifying top competitors through cross-visitation helps Go Go understand customer preferences and competitive landscape.
Go Go's top competitors based on customer cross-visitation are 店 (9.44%), Sukiya (8.33%), McDonald's (7.78%), Yoshinoya (6.39%), and Starbucks (5.83%). This indicates that customers who visit Go Go also frequently visit these brands, revealing potential areas for competitive differentiation.
Traffic workload analysis helps optimize staffing and resource allocation based on peak hours, improving operational efficiency.
Go Go experiences peak traffic workload between 11:00 and 19:00, with the highest workload at 12:00 (64.72). Traffic is significantly lower during early morning hours. This data informs staffing and resource allocation strategies to meet customer demand effectively.
Understanding consumer segments by gender and generation enables targeted marketing, improving engagement and ROI.
Go Go's consumer base shows a higher affinity among men (125) compared to women (66). Gen X (128) shows the highest affinity, followed by Gen Z (105) and Gen Y (90). This suggests targeted marketing towards men and Gen X could be particularly effective.