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 Pizza Max performance in the Germany and how they change over time
See what factors influence Pizza Max performance in the Germany 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 Pizza Max' competitors in the Germany
An analysis of Pizza Max' competitors in the Germany
Top-5 brands that brand's customers also visit
In Cafés & Restaurants
·Jun – Aug 25
Pizza Max is in the lower 41% 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.
Pizza Max's market performance is in the lower 41%, indicating a below average market standing. This means Pizza Max captures less foot traffic compared to competitors. Performance peers in the same percentile range include Lehners Wirtshaus, Rausch Schokoladenhaus, Prater, PUCK Mein Ostseebäcker, Tokoro Sushi Bar Leipzig, and Augustiner am Gendarmenmarkt.
Customer satisfaction (CSAT) reflects customer happiness. Higher CSAT scores often correlate with increased loyalty and positive word-of-mouth referrals.
Pizza Max's overall CSAT is 61%, a 3.7 percentage point increase year-over-year. Hesse shows the highest CSAT at 86%, while North Rhine-Westphalia and Lower Saxony show declines. The CSAT trend increased from May to July 2025, peaking at approximately 67%.
Average check (Avg Check) indicates how much customers spend per visit. Monitoring this KPI helps optimize pricing and identify upselling opportunities.
Pizza Max's overall average check is 18.8 EUR, a 4.5% increase year-over-year. Brandenburg has the highest average check at 28.5 EUR. The average check fluctuated between 17.56 EUR and 19.61 EUR from May to July 2025.
Number of outlets reflects brand's reach. Tracking outlet distribution informs expansion strategies and market penetration efforts.
Pizza Max has 8 outlets each in North Rhine-Westphalia and Schleswig-Holstein. Lower Saxony and Hesse each have 4 outlets, while Saxony-Anhalt has 3, and Brandenburg has 2. This distribution highlights key regions for Pizza Max's presence.
Competitor analysis identifies key players. Understanding cross-visitation patterns helps refine marketing and customer acquisition strategies.
McDonald's (7.89%) and Burger King (6.58%) are the top competitors visited by Pizza Max customers. Lily Burger, Block House, and Domino's Pizza each have a 2.63% cross-visitation rate. This indicates a significant overlap in customer base with major fast-food chains.
Traffic workload reveals peak hours. Understanding traffic patterns enables efficient staffing and resource allocation to meet customer demand.
Pizza Max experiences peak traffic workload between 11:00 and 21:00, with the highest traffic around 17:00-19:00. Traffic is minimal between 0:00 and 10:00. This data suggests focusing resources during peak hours to maximize efficiency.
Consumer segments inform targeted marketing. Understanding gender and generational preferences allows for tailored campaigns and product offerings.
Women show a higher affinity (113) for Pizza Max compared to men (92). Gen Y exhibits the highest affinity (113), followed by Gen X (84), while Gen Z is underrepresented (60). This suggests marketing should focus on women and Gen Y.