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 K-2 performance in the Poland and how they change over time
See what factors influence K-2 performance in the Poland 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
·Jun – Aug 25
K-2 is right in the middle
Sample of brands in the same percentile
An analysis of K-2' competitors in the Poland
An analysis of K-2' competitors in the Poland
Top-5 brands that brand's customers also visit
Cafés & Restaurants
Market performance percentile reveals brand's share of foot traffic, indicating competitive strength and customer preference in the industry.
K-2's market performance is average at the 50th percentile. This indicates a moderate market presence in Poland's Cafe & Restaurants industry. Performance peers include Kimsu Sushi & Ramen, Suca Pizza & Kebab Rumia, Restauracja Bonanza, Kliper, Smaki indii Restaurant, and Sushi Poke Go, all within the same percentile.
Customer satisfaction (CSAT) reflects customer loyalty and brand perception, directly impacting revenue and long-term business success.
K-2's overall customer satisfaction is 74%, a 1.4 percentage point increase year-over-year. Łódź Voivodeship shows high satisfaction (82%), while Kuyavian-Pomeranian Voivodeship has significantly lower satisfaction (37%). Masovian Voivodeship shows the largest growth in satisfaction.
Average check is a key indicator of spending per customer, influencing revenue and profitability strategies for the brand.
The average check for K-2 varies by region, with Pomeranian Voivodeship showing the highest average check at 55.8 PLN. Other regions such as Łódź, Masovian and Kuyavian-Pomeranian Voivodeships have lower average checks. Overall average check is stable.
Outlet count indicates brand reach and market penetration, crucial for assessing growth and geographic coverage.
K-2 has the most outlets in Greater Poland and Łódź Voivodeships (18 each). Kuyavian-Pomeranian Voivodeship has 3 outlets, Masovian has 2, while Pomeranian and Lublin Voivodeships each have 1 outlet, indicating regional concentration.
Identifying top competitors through cross-visitation helps refine marketing strategies and understand customer preferences.
K-2's customers also frequently visit McDonald's (12.64%), KFC (6.86%), Żabka (5.42%), Da Grasso (1.81%), and Pizzeria 105 (1.81%). This indicates that K-2 competes with fast-food chains and convenience stores for customer visits.
Traffic workload analysis helps optimize staffing and resource allocation based on peak hours.
K-2 experiences peak traffic workload between 12:00 PM and 8:00 PM, with the highest traffic around 2:00 PM to 6:00 PM. Traffic is minimal during early morning hours (12:00 AM - 10:00 AM), suggesting a need for adjusted operational strategies.
Understanding consumer segments by gender and generation informs targeted marketing and positioning strategies.
Women show high affinity (88) and Men show over-representation (110). Gen X shows under-representation (92), Gen Y shows over-representation (102), and Gen Z shows under-representation (66), indicating varying levels of engagement across generations.