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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
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 咖啡 performance in the Taiwan and how they change over time
See what factors influence 咖啡 performance in the Taiwan 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 咖啡' competitors in the Taiwan
An analysis of 咖啡' competitors in the Taiwan
Top-5 brands that brand's customers also visit
In Cafés & Restaurants
·Jul – Sep 25
咖啡 is ahead of most 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.
咖啡's MARKET PERFORMANCE is at the 71st percentile, indicating an average/above average market standing in Taiwan's Cafe & Restaurants industry. This means 咖啡 attracts more customers than 71% of its peers. Performance peers in the same percentile: 螺螄福rose food正宗柳州螺螄粉(信義店), 小樂丘 台南新光小北門店, 豪牛牛肉湯(售完為止), 雙醬王牛排-竹北莊敬店, SUKIYA, Mala Hot Pot.
Customer satisfaction reflects brand perception and loyalty, directly impacting retention and revenue growth. High CSAT scores are crucial.
咖啡's overall customer satisfaction is 90%, a slight decrease of 0.3 percentage points year-over-year. Cities like Yuli and Yilan City show 100% satisfaction, while Nanzhuang and Changhua City experienced a decrease. Taipei has 92% satisfaction. This indicates generally positive customer experiences, with some regional variations.
Average check reveals customer spending habits, influencing revenue. Monitoring trends helps optimize pricing and promotions for profitability.
咖啡's overall average check is 329.9 TWD, a 15.2% increase year-over-year. Beigan has the highest average check at 595.2 TWD, while Taipei is at 401 TWD. Yilan City, Yuchi Township and Nanzhuang are at 358.8 TWD, 350 TWD and 344.4 TWD respectively. This suggests increased customer spending, potentially due to menu changes or pricing adjustments.
Outlet count indicates brand reach and market presence. Expansion reflects growth, while closures signal potential challenges.
咖啡 has the most outlets in Taipei (25), followed by Kaohsiung (23), Taoyuan City (19), and New Taipei (19). Taichung has 17 outlets, and Tainan has 13. Hsinchu has 3, while Miaoli City, Keelung and Shuili Township each have 2. This distribution highlights key markets and expansion opportunities.
Competitor analysis identifies key rivals and customer overlap, informing strategies to differentiate and gain market share.
咖啡's top competitors based on cross-visitation are Starbucks (4.34%), McDonald's (3.40%), 店 (2.08%), Louisa Coffee 路易莎咖啡 (1.61%), and Kura Sushi (1.51%). This indicates that customers who visit 咖啡 also frequently visit these brands, suggesting similar target audiences or occasions.
Traffic workload analysis optimizes staffing and resource allocation, ensuring efficient service during peak hours and minimizing costs.
咖啡 experiences peak traffic workload between 11 AM and 4 PM, with the highest at 1 PM (50.68%). Traffic is lowest between 1 AM and 6 AM. This data helps optimize staffing and resource allocation to meet customer demand effectively throughout the day.
Understanding consumer segments enables targeted marketing, tailoring products and messaging to resonate with specific demographics.
咖啡's customer base shows a higher affinity towards women (107 index) compared to men (92 index). Gen X (113 index) and Gen Z (114 index) show higher affinity compared to Gen Y (85 index). This suggests targeted marketing towards women, Gen X and Gen Z may be more effective.