Book a demo—
Join us for a demo where we'll discuss how Realytics can support your business growth and adaptability in changing market conditions
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 네네치킨 performance in the Taiwan and how they change over time
See what factors influence 네네치킨 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
An analysis of 네네치킨' competitors in the Taiwan
An analysis of 네네치킨' competitors in the Taiwan
In Cafés & Restaurants
·Jul – Sep 25
네네치킨 is in the lower 26% of brands
Sample of brands in the same percentile
Top-5 brands that brand's customers also visit
Cafés & Restaurants
Market performance percentile reveals brand's share of foot traffic, indicating competitive strength and customer preference in the industry.
네네치킨's market performance is in the lower 26% in Taiwan's Cafe & Restaurants industry. This below-average position indicates a need to improve market share relative to competitors like A Xing Shi Mu Yu, Jinan Fresh Steam Dumpling, 李仔哥爌肉飯, Leone Restaurant & Bar, 六味御品麵線-永和必吃大腸麵線|傳統美食推薦|必吃小吃|鮮蚵麵線|鮮蝦麵線|在地推薦小吃|中卷麵線|綜合麵線, and 港Soul港式料理餐廳-桃園店, which share a similar market position.
Customer satisfaction (CSAT) reflects brand perception and loyalty, directly impacting retention and revenue. Monitoring CSAT helps identify areas for service improvement.
네네치킨's overall customer satisfaction in Taiwan is 64%, a decrease of 7.5 percentage points year-over-year. Satisfaction varies by city: Changhua City shows high satisfaction (89%), while Taoyuan City has a significantly lower score (18%). This indicates a need for targeted improvements in regions like Taoyuan City.
Outlet count reflects brand reach and market penetration. Tracking outlet distribution informs expansion strategies and assesses geographic market coverage.
네네치킨 has a total of 17 outlets in Taiwan. The majority of outlets are located in New Taipei (6), followed by Taipei (4). This distribution indicates a concentration in the New Taipei area, with opportunities for expansion in other regions.
Competitor analysis identifies key rivals and customer preferences, informing competitive strategies and highlighting opportunities for differentiation.
네네치킨's top competitors based on customer cross-visitation in Taiwan include Starbucks (7.89%), Fenchihu Hotel (5.26%), SmartFish (5.26%), KFC (5.26%), and Pizza Hut (5.26%). This indicates that customers who visit 네네치킨 also frequent these brands, suggesting potential areas for competitive focus.
Traffic workload analysis reveals peak hours, enabling optimized staffing and resource allocation to enhance customer experience and operational efficiency.
네네치킨 experiences peak traffic workload between 11:00 and 20:00, with the highest workload at 18:00 (61.46). There is minimal activity between 0:00 and 10:00. This data suggests a need for optimized staffing and resource allocation during peak hours to ensure efficient service.