Search among the top brands by number of locations
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Managing Partner, Global Business Development
See what factors influence Hong Zhuangyuan performance in the China and how they change over time
See what factors influence Hong Zhuangyuan performance in the China and how they change over time
Available by subscription
Available by subscription
An analysis of Hong Zhuangyuan' competitors in the China
An analysis of Hong Zhuangyuan' competitors in the China
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
·Jun – Aug 25
Hong Zhuangyuan is right in the middle
Sample of brands in the same percentile
Search among the top brands by number of locations
Cafés & Restaurants
Market performance reveals competitive strength and customer preference by showing brand's share of foot traffic in the industry.
Hong Zhuangyuan's market performance is at the 55th percentile, indicating an average market position. This means the brand's foot traffic is on par with competitors like 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 who are in a similar percentile.
Outlet count indicates brand reach and expansion, crucial for assessing market presence and growth potential.
Hong Zhuangyuan has 30 outlets in Beijing. This signifies a substantial presence in Beijing's Cafe & Restaurants market, indicating a concentrated operational footprint within this specific geographic location. There is no growth data available.
Traffic workload insights enable efficient staffing and resource allocation, optimizing operations to meet customer demand.
Hong Zhuangyuan experiences varying traffic workload throughout the day, peaking between 14:00 and 17:00 (45.75) and remaining relatively high from 20:00 to 23:00 (43.61), and lowest around 03:00 (20.60). These peak hours suggest when to optimize staffing and service.