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 EAT HAPPY performance in the Germany and how they change over time
See what factors influence EAT HAPPY performance in the Germany 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
·Jun – Aug 25
EAT HAPPY is right in the middle
Sample of brands in the same percentile
An analysis of EAT HAPPY' competitors in the Germany
An analysis of EAT HAPPY' competitors in the Germany
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 in the industry.
EAT HAPPY's market performance in Germany is at the 46th percentile, indicating a below average/lagging market position. This means EAT HAPPY captures less foot traffic compared to many competitors. Performance peers in the same percentile range include Ditsch, Katik, Momiji Kitchen, Hasir, eatDOORI, and Asia Unique.
Customer satisfaction reflects loyalty and brand perception, directly impacting retention and revenue growth. High CSAT scores are crucial for sustainable success.
EAT HAPPY's overall customer satisfaction in Germany is 78%, a 2.6 percentage point increase year-over-year. Baden-Württemberg shows the highest CSAT at 90%, while Bavaria, Hesse and Lower Saxony show decreased CSAT. The CSAT dynamic data shows fluctuations between 75.63% and 81.16% during the period.
Average check reveals spending habits, informing pricing and menu strategies. Monitoring this KPI helps optimize revenue per customer visit.
EAT HAPPY's overall average check in Germany is 16.40 EUR, a 9.9% decrease year-over-year. Hesse has the highest average check at 26.40 EUR. The average check dynamic data shows a decrease from 18.90 EUR to 14.35 EUR during the period.
Outlet count indicates market reach and brand presence. Tracking this metric helps assess expansion effectiveness and geographic coverage.
EAT HAPPY has the most outlets in North Rhine-Westphalia (471), followed by Bavaria (355) and Baden-Württemberg (257). Hesse has 238 outlets, and Lower Saxony has 147. Rhineland-Palatinate, Schleswig-Holstein, Saxony, Brandenburg and Bremen have fewer outlets.
Competitor analysis identifies key rivals and customer preferences, guiding strategic positioning and competitive advantage efforts.
EAT HAPPY's top competitors based on cross-visitation are McDonald's (13.86%), Burger King (6.74%), Subway (4.12%), L'Osteria (3.00%), and Cafe Extrablatt (1.87%). This indicates that customers who visit EAT HAPPY also frequently visit these fast-food and casual dining chains.
Traffic workload analysis optimizes staffing and resource allocation, ensuring efficient operations during peak and off-peak hours.
EAT HAPPY experiences peak traffic workload between 7:00 and 19:00, with the highest workload around 8:00-17:00. Traffic is significantly lower during the night, from 22:00 to 6:00. This data helps optimize staffing levels throughout the day.
Understanding consumer segments enables targeted marketing, tailoring products and messaging to specific demographic groups for higher engagement.
EAT HAPPY's customer base in Germany shows a high affinity towards women (98) and men (101). Gen Y (119) and Gen Z (126) are overrepresented, indicating a strong appeal to younger generations, while Gen X (55) is underrepresented.