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 Blue performance in the China and how they change over time
See what factors influence Blue performance in the China 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 Blue' competitors in the China
An analysis of Blue' competitors in the China
Top-5 brands that brand's customers also visit
In Cafés & Restaurants
·Jul – Sep 25
Blue is in the lower 14% of brands
Sample of brands in the same percentile
Cafés & Restaurants
Market performance shows brand's share of foot traffic, revealing its competitive strength and customer preference in the industry.
Blue's market performance is in the lower 14% in the Cafe & Restaurants industry in China. This is critically low, indicating a need to improve its market standing. Peers in a similar range include Kowloon Restaurant (Sham Shui Po), Station 3 Cafe, The Admirals Chinese Restaurant, Café Sausalito, 和府撈麵（大埔）, and Tai Ping Koon Restaurant (Tsim Sha Tsui).
Customer satisfaction is crucial as it reflects customer loyalty, impacts brand reputation, and drives business growth through repeat purchases and positive word-of-mouth.
Blue's overall customer satisfaction (CSAT) is 97%, a significant 30.5 percentage point increase year-over-year. In Shanghai, CSAT is 100%, with a 31.6 percentage point increase. This indicates very high customer satisfaction and a positive trend.
Number of outlets indicates brand's reach and market presence, influencing accessibility and brand visibility to potential customers.
Blue has a total of 26 outlets in China. Shanghai has the most outlets (14), followed by Beijing (6), Jiangsu (3), Guangdong Province (1), Sichuan (1), and Tianjin (1). This shows a strong presence in Shanghai and Beijing.
Competitor analysis helps understand the competitive landscape, identify opportunities, and refine strategies to gain a competitive edge.
Blue's top competitors based on customer cross-visitation are Juyongguan Great Wall Hotel Restaurant, Lotus Land Hongqiao Nanfengcheng Br, Su Xiaoliu Dessert Specialty Store, Jin Ding Xuan, and Midiexiang. Each of these brands sees approximately 16.67% cross-visitation from Blue's customers.
Understanding traffic workload by hour helps optimize staffing, manage resources, and improve customer experience during peak times.
Blue experiences peak traffic workload between 10 AM and 10 PM, with the highest traffic around 10 AM to 11 AM and 9 PM to 10 PM. Traffic is minimal between midnight and 7 AM. This data can inform staffing and operational decisions.
Analyzing consumer segments by gender and generation informs targeted marketing and positioning strategies, enhancing engagement and ROI.
Blue's customer base shows a higher affinity among men (138 index) compared to women (48 index). Gen X shows a high affinity (198 index), while Gen Y is slightly under-indexed (97 index). This suggests targeted marketing towards Gen X men could be effective.