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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
See what factors influence Ban Jiou Woo performance in the Taiwan and how they change over time
See what factors influence Ban Jiou Woo performance in the Taiwan and how they change over time
Available by subscription
Available by subscription
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 Cafés & Restaurants
In Cafés & Restaurants
An analysis of Ban Jiou Woo' competitors in the Taiwan
An analysis of Ban Jiou Woo' competitors in the Taiwan
Top-5 brands that brand's customers also visit
In Cafés & Restaurants
·Jun – Aug 25
Ban Jiou Woo is in the top 1% of brands
Sample of brands in the same percentile
Cafés & Restaurants
Market performance percentile shows brand's share of foot traffic, revealing competitive strength and customer preference in the industry.
Ban Jiou Woo holds a leading market performance percentile of 99 in Taiwan's Cafe & Restaurants industry, putting it in the top 1% of brands. This means Ban Jiou Woo outperforms most competitors in attracting customer traffic. Performance peers Gokujo Yakiniku, TANG ZHAN, 浪人鐵板燒|桃園春日店 桃園美食-宵夜-餐廳-平價鐵板燒, Dongshan Shui An Restaurant, 季津全蚵宴鮮魚料理吃到飽《嘉義烤蚵吃到飽》烤蚵推薦|推薦餐廳|聚會餐廳|在地美食|特色小吃 and 昭日堂燒肉 also share this top-tier market position.
Customer satisfaction (CSAT) reflects customer loyalty and brand perception, directly influencing repeat business and positive word-of-mouth referrals.
Ban Jiou Woo's overall customer satisfaction (CSAT) is 86%, a 10.3 percentage point increase year-over-year, showing improved customer happiness. New Taipei leads with 95%, followed by Taichung at 93%. Kaohsiung shows 66% satisfaction, while Chiayi and Tainan are at 65% and 59% respectively.
Average check (avgCheck) reveals customer spending habits, showing pricing strategy effectiveness and purchase behavior, directly impacting revenue.
Ban Jiou Woo's overall average check is 361.5 TWD, a 5.6% increase year-over-year, meaning that customers are spending more per visit. Tainan has the highest average check at 369.6 TWD, followed by New Taipei (366.4 TWD) and Kaohsiung (357.8 TWD). Chiayi has the lowest average check at 328.6 TWD.
Number of outlets shows brand reach and expansion strategy, revealing potential market saturation and opportunities for growth in different cities.
Ban Jiou Woo has a total of 28 outlets across Taiwan. Kaohsiung has the most with 10 outlets, followed by Tainan with 6 and New Taipei with 5. Taichung and Chiayi each have 2, while Pingtung City, Dounan Township and Taipei each have 1 outlet.
Competitor analysis helps identify direct rivals and customer preferences, enabling strategic positioning and targeted marketing efforts.
Ban Jiou Woo's customers also frequent McDonald's and Starbucks (4.12% cross-visitation), followed by 店 (2.65%), Kura Sushi (2.35%), and Ba Fang Yun Ji (2.06%). This indicates significant overlap in customer base with these competitors.
Traffic workload by hour reveals peak times and staffing needs, allowing for optimized resource allocation and improved customer service during rush hours.
Ban Jiou Woo experiences peak traffic between 11 AM and 8 PM, with the highest workload around 6-7 PM (58.33-58.65%). Traffic is minimal before 9 AM and after 10 PM. Staffing should be adjusted accordingly.
Analyzing consumer segments by gender/generation informs targeted marketing strategies, enhancing campaign relevance and maximizing engagement.
Ban Jiou Woo's customer base shows a slightly higher affinity towards women (103%) and Gen X (162%). Gen Z also exhibits high affinity (127%), while Gen Y is under-indexed (85%). This data reveals the relative affinity of these segments without specifying the exact number of users.