Search among the top brands by number of locations
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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 ШашлыкоFF performance in the Russia and how they change over time
See what factors influence ШашлыкоFF 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 ШашлыкоFF' competitors in the Russia
An analysis of ШашлыкоFF' competitors in the Russia
Top-5 brands that brand's customers also visit
In Cafés & Restaurants
·Jun – Aug 25
ШашлыкоFF is ahead of most brands
Sample of brands in the same percentile
Cafés & Restaurants
Market performance percentile shows brand's share of foot traffic, revealing its competitive strength and customer preference in the industry.
ШашлыкоFF's market performance is at the 57th percentile, indicating an average/above average market standing. This means the brand attracts more customers than many competitors. Performance peers in a similar range include Мята Lounge, Sushiset, Taifun, Tangiers Lounge, Yobidoyobi, and Sicilia.
Customer satisfaction (CSAT) reflects customer happiness, impacting loyalty and brand reputation. Higher CSAT often correlates with increased revenue and positive word-of-mouth.
Overall CSAT for ШашлыкоFF is 66%, a decrease of 6.7pp year-over-year. The Far Eastern Federal District shows the highest CSAT at 77% with an increase of 4.8pp, while the Volga Federal District has a CSAT of 67% with a decrease of 15.8pp. This suggests regional differences in customer experience.
Average check reveals how much customers spend per visit, influencing revenue. Monitoring it helps optimize pricing and promotions to boost profitability.
The average check varies by region. The Far Eastern Federal District has the highest average check at 3.6K RUB. The Ural, Volga and Siberian Federal Districts have 1.9K RUB, 1.6K RUB and 1.6K RUB respectively. There is no overall average check value provided.
Outlet count indicates brand reach and market presence. More outlets can mean greater accessibility and brand awareness, driving revenue growth.
ШашлыкоFF has the most outlets in the Siberian Federal District (33), followed by the Ural Federal District (11), Volga Federal District (6), Far Eastern Federal District (5), Central Federal District (4), Northwestern Federal District (1) and Southern Federal District (1). This shows a strong presence in Siberia.
Identifying top competitors helps understand the competitive landscape. Analyzing cross-visitation reveals customer preferences and potential areas for differentiation.
Top competitors based on cross-visitation are Вкусно — и точка and Dodo Pizza (both at 9.52%), followed by Frank by Баста, Syur Kafe, and U Semenovny (all at 4.76%). This indicates that ШашлыкоFF customers also frequent fast-food and pizza chains.
Traffic workload by hour shows peak times, helping optimize staffing and promotions. Understanding customer flow improves service and maximizes revenue.
Traffic workload peaks between 17:00 and 19:00, with the highest workload at 18:00 (63.36%). Traffic is lowest between 3:00 and 8:00. This data can inform staffing and promotional strategies to manage peak hours effectively.