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Vinkal Chadha
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
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 Austria and how they change over time
See what factors influence EAT HAPPY performance in the Austria 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
An analysis of EAT HAPPY' competitors in the Austria
An analysis of EAT HAPPY' competitors in the Austria
Top-5 brands that brand's customers also visit
In Cafés & Restaurants
·Aug – Oct 25
EAT HAPPY is in the lower 8% of 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.
EAT HAPPY is in the lower 8% of brands, indicating a critically low market performance. This suggests a need to improve its competitive standing. Performance peers in the same percentile range include AiS-Biene, Caffé da Mika, Vettore Coffee, GIGGI Tenne, Mostschenke Brunner, and Görlitzer Hütte.
Identifying competitors helps understand the competitive landscape and refine strategies to attract and retain customers.
Top competitors for EAT HAPPY, based on customer cross-visitation, include Cafe Bäckerei Konditorei Maislinger, Kraftwerk Bad Gastein, Feinkost Lumpi, McDonald's, and deer farm. Each has a 50% cross-visitation rate, suggesting shared customer base.
Traffic workload analysis reveals peak hours, enabling efficient staffing and resource allocation to meet customer demand.
EAT HAPPY experiences peak traffic between 7 AM and 6 PM, with the highest workload around noon (12 PM). Traffic is minimal during late night and early morning hours, indicating operational hours should focus on daytime demand.
Understanding consumer segments enables targeted marketing, tailoring products and messaging to specific demographic groups for better engagement.
EAT HAPPY's customer base shows a high affinity towards men (165% index) and Gen Y (221% index). This suggests that marketing efforts should focus on these demographics, as they are overrepresented among EAT HAPPY's customers.