Book a demo—
Join us for a demo where we'll discuss how Realytics can support your business growth and adaptability in changing market conditions

Vinkal Chadha
Managing Partner, Global Business Development
Search among the top café & restaurant 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 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
Pizza Max is in the top 1% of brands
Sample of brands in the same percentile
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
Available by subscription
Available by subscription
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
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 performance reveals brand's share of foot traffic, reflecting competitive strength and customer preference within the industry.
Pizza Max, with a MARKET PERFORMANCE percentile of 99 in Germany's Cafe & Restaurants sector, is a leading brand. This indicates high customer preference and competitive strength. Performance peers include Familienbäckerei Kistenpfennig, Upper Burger Grill, NAMASTE, Katik, Oggi’s Gemüsekebab, and Mustafa Demir's Gemüse Kebap, all within the same top-tier percentile range.
Customer satisfaction (CSAT) shows how well Pizza Max meets customer expectations, reflecting loyalty and likelihood of repeat business and positive recommendations.
Pizza Max has an overall CSAT of 68%, a 9.7pp increase year-over-year. CSAT varies by state, with North Rhine-Westphalia at 69% and Brandenburg at 21%. Dynamic CSAT data shows fluctuations, with a peak in April 2025. This indicates areas for improvement in customer experience across different locations.
Average check is a key metric indicating the average spending per customer, reflecting pricing strategy and customer spending habits at Pizza Max.
Pizza Max's overall average check is 19.1 EUR, a 0.7% decrease year-over-year. North Rhine-Westphalia has the highest average check at 21.4 EUR. Dynamic data shows monthly variations. This suggests a need to optimize pricing and promotions to increase revenue.
Number of outlets demonstrates Pizza Max's market reach and presence across different regions in Germany, showing the brand's accessibility.
Pizza Max has outlets in multiple German states. Schleswig-Holstein leads with 8 outlets, followed by North Rhine-Westphalia with 6. Hesse, Brandenburg, Saxony-Anhalt and Lower Saxony each have 2 or 3 outlets. This reveals the geographical distribution of Pizza Max's presence.
Understanding competitors and cross-visitation helps Pizza Max refine its market strategy and attract customers from competing brands.
Pizza Max's top competitors, based on customer cross-visitation, include Sushi For You (18.42%), Max Burger (11.84%), Loco Chicken Hermsdorf (10.53%), Burger King (7.89%), and McDonald's (6.58%). This indicates customer preferences and potential areas for Pizza Max to differentiate its offerings.
Traffic workload analysis identifies peak hours, which is important for staffing, resource allocation, and optimizing service delivery at Pizza Max.
Pizza Max's traffic workload varies throughout the day, with peak activity between 11:00 and 21:00, especially from 17:00 to 19:00. There is minimal traffic between midnight and 10:00. This data helps optimize staffing and resource allocation to meet customer demand during peak hours.
Analyzing consumer segments by gender and generation enables targeted marketing, improving engagement and customer lifetime value.
Pizza Max's customer base shows a high affinity among women (101 Index), and Gen Z (164 Index), and Gen Y (143 Index) consumers. Gen X (53 Index) are under-indexed, suggesting an opportunity to enhance marketing efforts to attract this demographic. This indicates opportunities for tailored marketing and product positioning.