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 SoBol performance in the United States and how they change over time
See what factors influence SoBol performance in the United States 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
In Cafés & Restaurants
In Cafés & Restaurants
In Cafés & Restaurants
·Jul – Sep 25
SoBol is in the lower 38% of brands
Sample of brands in the same percentile
An analysis of SoBol' competitors in the United States
An analysis of SoBol' competitors in the United States
Top-5 brands that brand's customers also visit
Cafés & Restaurants
Market performance reveals brand's share of foot traffic, showing competitive strength and customer preference in the cafe & restaurant industry.
SoBol's market performance is in the lower 38%, indicating a lagging position. This percentile reflects a smaller share of customer traffic compared to competitors. Performance peers in the same range include Olive Tree by Chef Yousef and Tamashii Ramen.
Customer satisfaction (CSAT) reflects brand perception, impacting loyalty and growth. High CSAT scores often correlate with repeat business and positive word-of-mouth.
SoBol's overall CSAT is 84%, up 1.7 percentage points year-over-year, indicating improved customer satisfaction. Florida shows the highest CSAT at 99%, while New York and Connecticut have lower scores with negative growth. This suggests regional variations in customer experience.
Average check reflects customer spending per visit, influencing revenue. Monitoring this KPI helps optimize pricing and identify upselling opportunities.
SoBol's overall average check is $16.1, down 0.9% year-over-year. New York has the highest average check at $17.5, while Florida's is $13.8. The decrease suggests potential pricing or spending habit changes.
Outlet count indicates brand reach and market presence. Growth in outlet numbers often correlates with increased brand awareness and revenue potential.
SoBol has 74 outlets in the United States. New York has the most outlets (51), followed by Florida (7) and Connecticut (5). This distribution highlights key markets for SoBol's operations.
Competitor analysis identifies key rivals and customer preferences. Understanding cross-visitation patterns informs competitive strategies and market positioning.
SoBol's top competitors based on customer cross-visitation are Starbucks (5.36%), McDonald's (5.36%), and Dunkin' (4.46%). This indicates that SoBol's customers also frequent these major chains, suggesting shared customer bases.
Traffic workload analysis optimizes staffing and resource allocation. Understanding peak hours ensures efficient service and maximizes revenue potential.
SoBol's peak traffic workload occurs between 12 PM and 2 PM, reaching 55.42% at 1 PM. Traffic starts increasing at 7 AM, peaks during lunch hours, and declines after 6 PM. This data informs staffing and operational decisions.
Consumer segment analysis enables targeted marketing. Understanding gender and generational preferences optimizes messaging and product offerings.
SoBol's customer base shows a high affinity towards women (130 index) and Gen Z (204 index). Men are under-indexed (72). Gen X is slightly over-indexed (102), while Gen Y is under-indexed (86). This suggests targeted marketing towards women and Gen Z could be effective.