Search among the top café & restaurant brands by number of locations
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Managing Partner, Global Business Development
Search among the top 10,053 café & restaurant brands by number of locations
Search among the top café & restaurant brands by number of locations
In Cafe & Restaurants
·May – Jul 25
Haidilao Hot Pot is in the top 1% of brands
Sample of brands in the same percentile
See what factors influence Haidilao Hot Pot performance in the Indonesia and how they change over time
See what factors influence Haidilao Hot Pot performance in the Indonesia and how they change over time
Available by subscription
Available by subscription
An analysis of Haidilao Hot Pot' competitors in the Indonesia
An analysis of Haidilao Hot Pot' competitors in the Indonesia
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
In Cafe & Restaurants
In Cafe & Restaurants
Search among the top 10,053 café & restaurant brands by number of locations
Cafe & Restaurants
Market performance shows brand's foot traffic share, revealing competitive strength and customer preference in the cafe & restaurants industry.
Haidilao Hot Pot holds a leading position with a 99th percentile, meaning it's in the top 1% of brands in Indonesia's Cafe & Restaurants sector. This indicates a strong market presence and customer preference. Performance peers within a similar range (99th percentile) include Winglok Hongkong Dimsum Tebet, Ciamso Dieng Malang, Flash Coffee, Abuba Steak, Magal Korean BBQ Grand City Mall, and Suteki - Grand City Mall Surabaya.
Customer satisfaction (CSAT) is key to brand loyalty and growth. It reflects how well Haidilao Hot Pot meets customer expectations in Indonesia.
Haidilao Hot Pot's overall CSAT is 97%, indicating very high satisfaction. However, a slight decrease of 0.7pp year-over-year suggests a need to monitor and address any potential issues impacting customer experience. Java region CSAT is also 97%.
Average check reveals customer spending per visit. Analyzing its trends helps Haidilao Hot Pot optimize pricing and understand customer value in Indonesia.
The overall average check for Haidilao Hot Pot is 228.1K IDR, a 4.1% increase year-over-year, indicating customers are spending more per visit. Average check in Java is also 228.1K IDR. The data suggests potential for increased revenue per customer.
Outlet count shows Haidilao Hot Pot's reach. Tracking it reveals expansion pace and geographic focus in Indonesia's competitive landscape.
Haidilao Hot Pot has 1 outlet in Java, Indonesia. This indicates a concentrated presence in this region. Further expansion may increase brand visibility and market share.
Competitor analysis identifies brands competing for Haidilao Hot Pot's customers. Insights help refine marketing and retain customers in Indonesia.
Customers of Haidilao Hot Pot also visit Pho Ba Ba, Momo Paradise, Genki Sushi, Gabon African Chicken Serpong, and 海底捞火锅 Haidilao Hot Pot (5.2631% cross-visitation each). This suggests these brands are seen as alternatives by Haidilao's customer base. Analyzing their offerings may reveal opportunities for differentiation.
Traffic workload shows peak hours at Haidilao Hot Pot. Understanding this informs staffing and resource allocation for optimal service in Indonesia.
Traffic workload varies throughout the day, peaking between 9:00 AM and 11:00 AM, and again at 9:00 PM with workload about 70%. Lowest traffic is between 1:00 AM and 5:00 AM. Adjusting staff levels to match workload is advised.
Consumer segments helps target marketing effectively. Understanding the gender and generational mix allows Haidilao Hot Pot to tailor its approach in Indonesia.
Women (139 affinity index) and Gen Z (254 affinity index) consumers show high affinity. Men (69 affinity index) and Gen Y (36 affinity index) are under-indexed. The brand should consider marketing strategies targeting segments based on their affinity.