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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
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
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
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
Available by subscription
Available by subscription
See what factors influence SushiVesla performance in the Russia and how they change over time
See what factors influence SushiVesla performance in the Russia and how they change over time
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
Discover your traffic workload during different times of the day
An analysis of SushiVesla' competitors in the Russia
An analysis of SushiVesla' competitors in the Russia
In Cafés & Restaurants
·Jun – Aug 25
SushiVesla is in the lower 43% of brands
Sample of brands in the same percentile
Cafés & Restaurants
Market performance shows brand's share of foot traffic, revealing its competitive strength and customer preference in the industry.
SushiVesla's market performance is at the 43rd percentile, indicating a below average market standing. This means SushiVesla captures less foot traffic compared to most competitors. Performance peers in the same percentile range include Shaverlend, Sushi Shtorm, McDonald's, Vilka Lozhka, Руки ВВерх! Бар, and Skazka Vostoka.
Customer satisfaction (CSAT) reflects customer happiness, impacting loyalty, brand reputation, and revenue growth. High CSAT scores are crucial for business success.
SushiVesla's overall CSAT is 87%, a significant 21.4 percentage point increase year-over-year. The Southern Federal District shows 87% CSAT with 23.9pp growth, while the Volga Federal District has 82% CSAT with 46.5pp growth. This indicates strong positive customer sentiment.
Average check (transaction value) indicates spending per customer. Monitoring this KPI helps optimize pricing strategies and identify revenue growth opportunities.
SushiVesla's overall average check data is not available. In the Southern Federal District, the average check is 1.1K RUB with no growth. The average check dynamic data shows a rise from 1000 RUB in May/June to 1669.23 RUB in July 2025.
Outlet count reflects brand reach and market presence. Tracking outlet distribution informs expansion strategies and assesses geographic market penetration.
SushiVesla has 54 outlets in the Southern Federal District, 17 in the Volga Federal District, and 2 in the Central Federal District. The Southern Federal District accounts for the majority of SushiVesla's outlets.
Competitor analysis identifies key rivals and customer preferences. Understanding cross-visitation patterns informs competitive strategies and marketing efforts.
SushiVesla's top competitors based on customer cross-visitation are Antresol, Yaposha, Burger King, Ivan da Marya, and KFC, each with 25% cross-visitation. This suggests a significant overlap in customer base among these brands.
Traffic workload analysis reveals peak hours and customer flow patterns. Understanding these trends optimizes staffing, promotions, and resource allocation.
SushiVesla's peak traffic workload occurs between 10:00 and 21:00, with the highest workload around 19:00 (54.05%). Traffic is minimal between 0:00 and 9:00. This data helps optimize staffing during peak hours.