Search among the top café & restaurant brands by number of locations
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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
Three Beans is in the top 2% of brands
Sample of brands in the same percentile
See what factors influence Three Beans performance in the Australia and how they change over time
See what factors influence Three Beans performance in the Australia and how they change over time
Available by subscription
Available by subscription
An analysis of Three Beans' competitors in the Australia
An analysis of Three Beans' competitors in the Australia
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 share, reflected in foot traffic, indicates brand strength and customer preference relative to industry rivals. Key for strategic decision-making.
Three Beans holds the 98th percentile, positioning it as a leading brand in the Australian Cafe & Restaurants sector. This signifies a strong market presence, being in the top 2% of brands. Performance peers in similar range include Arthur's Pizza, Zambeekas Char Grilled Chicken, Spanian's Kebabs North Parramatta, The Glen Hotel, The Grumpy Baker, and Shiraz Persian Restaurant + Bar.
CSAT reflects customer happiness, directly impacting loyalty and revenue. High CSAT scores signal effective strategies and a positive brand image.
Three Beans boasts a 93% customer satisfaction, up 12.8pp year-over-year, indicating a strong positive trend. CSAT in New South Wales is 93%, with a 15.5pp increase, while Queensland shows 88%, down by 2pp. This suggests varying performance across states, requiring tailored strategies.
Average check reveals spending habits, guiding pricing and promotions. Increases signify higher revenue per customer, crucial for profitability.
Three Beans' average check is 21.9 AUD, a 2.6% increase year-over-year, suggesting customers are spending slightly more. New South Wales shows an average check of 23.5 AUD, with no growth value. Analysis of average check dynamic data for 2025 reveals fluctuation.
Outlet count indicates brand reach and expansion, influencing market penetration. More outlets generally mean greater accessibility and brand visibility.
Three Beans has 22 outlets in New South Wales and 2 in Queensland. The concentration of outlets in New South Wales suggests a strategic focus, while Queensland represents a smaller presence, indicating potential for expansion.
Identifying competitors helps refine strategies, capture market share, and understand customer preferences within the competitive landscape.
Crust Pizza (5.71%) is the top competitor based on cross-visitation, followed by Burgers Anonymous and 852 HONG KONG RESTAURANT (4.29% each). ENZE and Silver Territory Seafood Restaurant share 2.86%. This reveals shared customer interests and potential collaboration opportunities.
Traffic workload analysis guides staffing and resource allocation, ensuring efficient operations during peak hours for customer satisfaction.
Traffic workload peaks between 10 AM and 1 PM, reaching a high of 72.75 at 11 AM. Minimal activity occurs between midnight and 6 AM. Resource allocation should align with these peak traffic hours to optimize customer experience and service efficiency.
Understanding consumer segments by gender and generation is crucial for targeted marketing and positioning strategies to improve customer affinity.
Three Beans' customer base shows a higher affinity towards women (111%) compared to men (92%). Gen X displays significantly high affinity (256%), while Gen Y shows affinity of 83%. Marketing should address over and under-represented segments.