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Vinkal Chadha
Managing Partner, Global Business Development
Search among the top café & restaurant 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 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
Restaurante MUY is in the top 3% of brands
Sample of brands in the same percentile
See what factors influence Restaurante MUY performance in the Brazil and how they change over time
See what factors influence Restaurante MUY performance in the Brazil and how they change over time
Available by subscription
Available by subscription
An analysis of Restaurante MUY' competitors in the Brazil
An analysis of Restaurante MUY' competitors in the Brazil
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
Search among the top 10,053 café & restaurant brands by number of locations
Cafe & Restaurants
Market performance shows brand’s share of foot traffic, revealing competitive strength and customer preference in the industry.
Restaurante MUY holds a leading market position at the 97th percentile, placing it in the top 3% of brands. This indicates a strong competitive advantage and significant customer preference in Brazil's Cafe & Restaurants industry. Performance peers in the same range include Burger Garage na Parrilla- Guará, Uncle Black Burger, Cheirin Bão São José, D´Jones Pub, Pizzaria Favorita and Bar Central.
Customer satisfaction reflects brand perception and loyalty, impacting retention and revenue growth. Increased CSAT indicates improved customer experiences.
Restaurante MUY demonstrates strong customer satisfaction, with an overall CSAT score of 81%, which is up 54.6 percentage points year-over-year. In the Southeast Region, the CSAT is also 81%, showing consistent satisfaction across locations. The CSAT trend remains constant at 97.67 from April to June 2025, suggesting a stable customer perception.
Average check value indicates spending per customer, reflecting menu pricing strategy, customer purchase behavior, and overall revenue generation.
Restaurante MUY's overall average check is 37 BRL, a slight decrease of 1.2% year-over-year. The average check in the Southeast Region is also 37 BRL. The average check value trend remains stable at 31.25 from April to June 2025, indicating steady spending per customer over time.
Outlet count indicates brand reach and market presence. Expansion reflects growth strategy, while consistent numbers suggest market consolidation.
Restaurante MUY has 8 outlets in the Southeast Region. This indicates a focused regional presence. The stable number of outlets suggests a strategy of market consolidation within this specific region during the reported period.
Competitor analysis highlights market rivalry and customer choice. Identifying top competitors enables strategic positioning and differentiation efforts.
Restaurante MUY's top competitors include 365 Valdemar Ferreira, McDonald's and Burger King (each with 20% cross-visitation), followed by Pizza Paulista 10 and Burguer News (each with 10% cross-visitation). These overlaps in customer visits underscore the competitive landscape and shared customer base, it helps to understand Restaurante MUY's target audience.
Traffic workload patterns identify peak hours, informing staffing and resource allocation for optimal service and customer experience.
Restaurante MUY experiences peak traffic between 12:00 and 13:00, reaching a traffic workload of 60. Significant traffic also occurs between 11:00 and 15:00, suggesting lunch is the busiest period. Minimal traffic is observed in the early morning and late night hours. These insights help with efficient resource allocation.