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 Lupa Osteria performance in the South Africa and how they change over time
See what factors influence Lupa Osteria performance in the South Africa 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
Lupa Osteria is in the lower 40% of brands
Sample of brands in the same percentile
An analysis of Lupa Osteria' competitors in the South Africa
An analysis of Lupa Osteria' competitors in the South Africa
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.
Lupa Osteria's market performance is in the 40th percentile, indicating a below average market position. This means that Lupa Osteria captures less foot traffic compared to most competitors. Performance peers in a similar range include Ou Meul (39th), Papachinos (40th), tashas (41st), ICE CREAM EXPRESS (41st), EL&N London (41st), and GOLD Restaurant (41st).
Customer satisfaction (CSAT) reflects customer happiness, impacting loyalty and brand reputation. High CSAT often correlates with repeat business and positive word-of-mouth.
Lupa Osteria's overall customer satisfaction is 85%, a slight decrease of 0.6 percentage points year-over-year. Mpumalanga shows the highest CSAT (93%), while Western Cape has the lowest (67%) with a significant decrease. KwaZulu-Natal shows the largest improvement (12.7pp). Recent CSAT scores have fluctuated between 83.40% and 87.35%.
Average check reveals how much customers spend per visit, influencing revenue. Monitoring this KPI helps optimize pricing and identify upselling opportunities.
The average check for Lupa Osteria varies by location. Mpumalanga has the highest average check at 480 ZAR. Western Cape has the lowest at 265.9 ZAR. Overall average check data is not available. The average check has fluctuated between 368.40 ZAR and 587.18 ZAR over the last three months.
Number of outlets indicates brand reach and market presence. Tracking outlet distribution helps assess expansion and identify geographic strengths.
Lupa Osteria has a total of 17 outlets in South Africa. Gauteng has the most outlets (9), followed by KwaZulu-Natal (5), Mpumalanga (2), and Western Cape (1). This distribution highlights Gauteng as a key market for the brand.
Identifying competitors reveals market rivals and customer preferences. Understanding cross-visitation patterns informs competitive strategies and marketing efforts.
Lupa Osteria's top competitors based on customer cross-visitation are Spur (12.12%), Wimpy (10.30%), McDonald's (9.09%), KFC (8.48%), and Mugg & Bean (5.45%). This indicates that customers who visit Lupa Osteria also frequently visit these other restaurant chains.
Traffic workload by hour reveals peak times, enabling efficient staffing and resource allocation. Understanding customer flow optimizes service and maximizes revenue.
Lupa Osteria experiences peak traffic between 11:00 and 21:00, with the highest workload around 18:00 (58.16%). Traffic is minimal during early morning hours. This data suggests optimal staffing during lunch and dinner hours.
Consumer segments reveal demographic preferences, enabling targeted marketing. Understanding gender and generational mix optimizes messaging and product offerings.
Lupa Osteria's customer base shows a slightly higher affinity towards women (108) compared to men (92). Gen Y (122) shows a higher affinity compared to Gen X (82). This suggests that Lupa Osteria is more appealing to younger consumers.