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 BigFoot Java performance in the United States and how they change over time
See what factors influence BigFoot Java 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
BigFoot Java is in the lower 39% of brands
Sample of brands in the same percentile
An analysis of BigFoot Java' competitors in the United States
An analysis of BigFoot Java' competitors in the United States
Top-5 brands that brand's customers also visit
Cafés & Restaurants
Market performance shows brand's share of foot traffic, revealing its competitive strength and customer preference.
BigFoot Java's market performance is in the lower 39% percentile, indicating a below average market standing. This suggests the brand captures less foot traffic compared to its competitors. Performance peers in the same percentile range include Original ChopShop, Waffle Love, Mandola's Italian Kitchen, The Smith, Republica Restaurant & Rooftop, and Tendon Kohaku.
Customer satisfaction (CSAT) reflects brand perception, impacting loyalty and revenue. Higher CSAT often correlates with repeat business.
BigFoot Java's overall customer satisfaction is 65%, a 7.3 percentage point increase year-over-year. In Washington, the CSAT is also 65%, with the same growth. This indicates improved customer perception and loyalty compared to the previous year.
Average check reveals customer spending habits, influencing revenue strategies. Monitoring trends informs pricing and promotion decisions.
BigFoot Java's overall average check is $10.40, a 12.4% increase year-over-year. The average check in Washington is also $10.40. This suggests customers are spending more per visit compared to the previous year.
Outlet count indicates brand reach and expansion. Growth reflects investment and market penetration strategies.
BigFoot Java has 42 outlets in Washington. This number represents the brand's current physical presence and market coverage within the state.
Competitor analysis identifies key rivals and customer preferences, informing competitive strategies and market positioning.
BigFoot Java's top competitors based on customer cross-visitation are McDonald's (14.98%), Starbucks (10.57%), Jack in the Box (7.93%), Taco Bell (7.05%), and Denny's (7.05%). This indicates these brands share a significant portion of BigFoot Java's customer base.
Traffic workload reveals peak hours, optimizing staffing and resource allocation for enhanced customer experience.
BigFoot Java experiences peak traffic workload between 7 AM and 12 PM, with the highest workload at 10 AM (63.91%). The lowest traffic workload occurs between 1 AM and 4 AM. This data helps optimize staffing and resource allocation during peak hours.
Understanding consumer segments enables targeted marketing, improving engagement and brand resonance with specific demographics.
Women (111) and Gen Y (111) are overrepresented among BigFoot Java's consumers, indicating high affinity. Men (90), Gen X (88), and Gen Z (82) are underrepresented, suggesting lower affinity compared to the average consumer.