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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 店 performance in the Taiwan and how they change over time
See what factors influence 店 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 店' competitors in the Taiwan
An analysis of 店' competitors in the Taiwan
Top-5 brands that brand's customers also visit
In Cafés & Restaurants
·Jul – Sep 25
店 is in the top 10% of brands
Sample of brands in the same percentile
Cafés & Restaurants
Market performance percentile shows brand's share of foot traffic, revealing its competitive strength and customer preference in the industry.
店's market performance is at the 90th percentile, indicating a leading position in Taiwan's Cafe & Restaurants industry. This means 店 captures a significant share of customer traffic compared to its peers. Competitors in the same percentile range include Pizza Hut and Starbucks.
Customer satisfaction (CSAT) reflects customer happiness, impacting loyalty, brand reputation, and revenue. High CSAT scores often correlate with repeat business.
店's overall customer satisfaction is 83%, up 1.7 percentage points year-over-year, indicating improved customer happiness. Yilan City shows the highest CSAT at 96%, with a significant increase of 22.2 percentage points. Fengbin shows decrease by 5.3 percentage points.
Average check reveals how much customers spend per visit, influencing revenue. Monitoring this KPI helps optimize pricing and promotions.
店's overall average check is 312.4 TWD, down 1% year-over-year. Zhubei City has the highest average check at 800 TWD. Budai Township has 550 TWD, Taoyuan City - 444.7 TWD and Chiayi - 417.9 TWD.
Outlet count indicates brand reach and market presence. More outlets can mean greater convenience and brand visibility for customers.
店 has the most outlets in Taichung (66), followed by New Taipei (54) and Kaohsiung (46). This distribution shows the brand's strongest presence is in central and northern Taiwan.
Identifying top competitors helps understand the competitive landscape and refine strategies to attract and retain customers.
店's top competitors based on cross-visitation are McDonald's (4.98%), Starbucks (3.06%), Ba Fang Yun Ji (1.38%), Kura Sushi (1.27%) and Louisa Coffee 路易莎咖啡 (1.14%). This indicates customers who visit 店 also frequent these brands.
Traffic workload by hour reveals peak times, enabling efficient staffing and resource allocation to meet customer demand.
店 experiences peak traffic workload between 17:00 and 19:00 (5 PM - 7 PM), with the highest workload at 18:00 (6 PM) at 47.16. Traffic is lowest between 2:00 and 4:00 AM.
Understanding consumer segments by gender and generation enables targeted marketing and product strategies, improving engagement and ROI.
店's customer base shows a high affinity towards women (97) and men (103). Gen X shows affinity of 105, while Gen Y (88) and Gen Z (93) are under-indexed, suggesting opportunities for targeted campaigns.