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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 LanLan performance in the Brazil and how they change over time
See what factors influence LanLan performance in the Brazil 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
An analysis of LanLan' competitors in the Brazil
An analysis of LanLan' competitors in the Brazil
Top-5 brands that brand's customers also visit
In Cafés & Restaurants
·Jul – Sep 25
LanLan is in the lower 26% of brands
Sample of brands in the same percentile
Cafés & Restaurants
Market performance percentile shows brand's foot traffic share, revealing competitive strength and customer preference in the industry.
LanLan's market performance is in the lower 26% in Brazil's Cafe & Restaurants industry, indicating a below average market standing. This means that LanLan captures less foot traffic compared to most competitors. Performance peers in the same percentile range include Pizzaria Marquês, Twins Sorvetes, BIZ restaurante comida europeia e mediterrânea, D'Maria Café & Chocolateria, Restaurante Sabores do Mar - Avenida Atlântica 2530 centro, and Poke2Go.
Customer satisfaction (CSAT) reflects customer happiness, impacting loyalty and revenue. Tracking CSAT helps identify areas for improvement.
LanLan's overall customer satisfaction is 62%, a decrease of 10.4 percentage points year-over-year. This indicates a significant decline in customer happiness. The Northeast Region mirrors this overall CSAT score and decline. CSAT fluctuated between 74.07% in June, 52.63% in July and 55.56% in August of 2025.
Average check reveals spending per customer, crucial for revenue insights. Monitoring trends helps optimize pricing and promotions.
LanLan's overall average check is 26.9 BRL, a 4.1% increase year-over-year. This suggests customers are spending slightly more per visit. The Northeast Region shows an average check of 26.9 BRL. The average check remained approximately 24.29 BRL from June to August 2025.
Outlet count indicates brand reach and growth. Tracking changes informs expansion strategies and market penetration.
LanLan has 25 outlets in the Northeast Region of Brazil. This indicates a moderate physical presence in that region. There is no growth value provided, so the number of outlets has remained constant.
Competitor analysis identifies key rivals and customer overlap, informing competitive strategies and market positioning.
LanLan's top competitors based on customer cross-visitation are McDonald's (6.25%), Coco Bambu (6.25%), や台ずし (4.17%), Costa Mendes (4.17%), and Sabiaguaba Park (Foz do Rio Cocó) (4.17%). This indicates that customers who visit LanLan also frequently visit these establishments.
Traffic workload by hour reveals peak times, enabling efficient staffing and resource allocation to meet demand.
LanLan experiences peak traffic workload between 14:00 and 21:00, with the highest workload at 18:00 (57.26). Traffic is minimal between 0:00 and 8:00. This data helps optimize staffing and resource allocation during peak hours.