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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 食其家 performance in the China and how they change over time
See what factors influence 食其家 performance in the China and how they change over time
Available by subscription
Available by subscription
An analysis of 食其家' competitors in the China
An analysis of 食其家' 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
食其家 is right in the middle
Sample of brands in the same percentile
Cafés & Restaurants
Market performance reveals competitive strength and customer preference, showing the brand's share of foot traffic in the industry.
食其家's market performance is at the 55th percentile, indicating an average/above average market position in China's Cafe & Restaurants industry. This means 食其家 performs similarly to competitors like Mengniu Shouba Meat Restaurant (55), 小吃店 (55), 大阪京都居食屋 (55), Luckin Coffee (55), Lamiacasa Italian Restaurant (55), and 肥仔茶餐厅 (55).
Outlet count indicates brand reach and expansion, reflecting its physical presence in different regions.
食其家 has 11 outlets in Shanghai, and 1 outlet each in Guangdong Province and Jiangsu, China between 2025-06-01 and 2025-08-31. Shanghai is the region with maximum market coverage.
Traffic workload by hour helps optimize staffing and resource allocation, improving operational efficiency.
食其家 experiences peak traffic between 15:00 and 17:00, with the highest traffic workload at 16:00. Traffic workload is minimal during the night and early morning hours. This data shows that demand grows throughout the morning, peaks in the afternoon, and slows down into the evening.