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Vinkal Chadha
Managing Partner, Global Business Development
Search among the top café & restaurant 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 10,053 café & restaurant brands by number of locations
Search among the top café & restaurant brands by number of locations
In Cafe & Restaurants
·May – Jul 25
EAT HAPPY is in the top 1% of brands
Sample of brands in the same percentile
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
Available by subscription
Available by subscription
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
Discover your traffic workload during different times of the day
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
In Cafe & Restaurants
In Cafe & Restaurants
Search among the top 10,053 café & restaurant brands by number of locations
Cafe & Restaurants
Market performance reveals brand's competitive strength, indicating customer preference and traffic share within the Cafe & Restaurants industry.
EAT HAPPY's market performance is in the top 1% in Germany, indicating a leading position. This high percentile signifies substantial market share and strong customer preference compared to competitors like Bäckerei Schwarz GmbH & Co. KG, Altes Brauhaus, Ditsch, Sushi restaurant Funky Ramen, Max & Moritz Weinbar, and Cyclo, all positioned within the same top-tier performance range.
Customer satisfaction (CSAT) is critical, reflecting customer loyalty and predicting brand growth through positive experiences and repeat business.
EAT HAPPY's overall CSAT is 74%, a 3.2 percentage point decrease year-over-year. Bavaria shows the highest CSAT at 83% with an upward trend, while Lower Saxony has the lowest at 71% with a significant decrease. CSAT trended downwards in May 2025, but recovered in June 2025.
Average check reflects customer spending per visit, crucial for revenue optimization and understanding pricing effectiveness and customer purchasing behavior.
EAT HAPPY's overall average check is EUR 17.1, a 6% increase year-over-year. Hesse has the highest average check at EUR 24.8, while Baden-Württemberg has the lowest at EUR 12.9. Average check was highest in May 2025.
Number of outlets indicates brand's reach and market presence, influencing accessibility and brand visibility across different geographic locations.
EAT HAPPY has the most outlets in North Rhine-Westphalia (463), followed by Bavaria (345). The number of outlets varies significantly by state, reflecting strategic distribution and market penetration efforts across Germany.
Identifying competitors helps understand the competitive landscape, informing strategies to differentiate, capture market share, and retain customers.
The top competitors for EAT HAPPY, based on customer cross-visitation, are McDonald's (12.06%), Burger King (7.04%), L'Osteria (3.02%), Starbucks (2.51%), and Subway (2.51%). This indicates that EAT HAPPY's customers also frequently visit these fast-food and casual dining chains.
Traffic workload by hours reveals peak operational times, enabling efficient staffing, resource allocation, and optimized service delivery during busy periods.
EAT HAPPY experiences peak traffic workload between 7 AM and 8 PM, with the highest workload between 10 AM and 3 PM. The workload significantly decreases after 8 PM, reaching its lowest point in the early morning hours (1-5 AM).
Consumer segment analysis allows for targeted marketing by understanding demographic preferences, enabling tailored campaigns and improved customer engagement and loyalty.
EAT HAPPY's customer base shows a slightly higher affinity towards women (104 index), while men are slightly under-indexed (98 index). Gen Z is significantly over-indexed (194 index), suggesting high affinity. Gen X (68 index) and Gen Y (84 index) are under-indexed compared to the average consumer.