Search among the top brands by number of locations
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Managing Partner, Global Business Development
Search among the top brands by number of locations
In Cafés & Restaurants
·Jun – Aug 25
味千拉面 is right in the middle
Sample of brands in the same percentile
See what factors influence 味千拉面 performance in the China and how they change over time
See what factors influence 味千拉面 performance in the China and how they change over time
Available by subscription
Available by subscription
An analysis of 味千拉面' competitors in the China
An analysis of 味千拉面' competitors in the China
Top-5 brands that brand's customers also visit
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
Cafés & Restaurants
Market performance percentile reflects a brand's share of foot traffic, revealing its competitive strength and customer preference.
味千拉面's market performance is at the 55th percentile, indicating an average market position. This suggests moderate brand visibility and customer preference compared to its peers. Performance peers in the same percentile include Mengniu Shouba Meat Restaurant, 小吃店, 大阪京都居食屋 (黑沙環晉海店), Luckin Coffee, Lamiacasa Italian Restaurant, and 肥仔茶餐厅. The year-over-year delta is -7.
Outlet count indicates brand reach and expansion. More outlets generally mean greater accessibility and market presence for customers.
味千拉面 has the highest number of outlets in Shanghai (44), followed by Guangdong Province (35) and Jiangsu (24). Zhejiang, Beijing, Sichuan, Fujian, Liaoning, Shandong and Shaanxi follows with less outlets.
Identifying top competitors based on cross-visitation helps a brand understand its direct rivals and customer preferences.
The top competitors of 味千拉面, based on customer cross-visitation, are Monbo Wonton, Xinhongji Lijiu Restaurant, Laobian Dumpling, and Baofayuanming Restaurant, with a 100% cross visitation.
Traffic workload analysis highlights peak hours, enabling optimized staffing and resource allocation for enhanced customer experience.
Traffic workload peaks between 10:00 and 20:00, with the highest traffic around 11:00. Traffic workload drops significantly from 21:00 till 05:00.