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 Club performance in the New Zealand and how they change over time
See what factors influence Pizza Club performance in the New Zealand 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 Club' competitors in the New Zealand
An analysis of Pizza Club' competitors in the New Zealand
In Cafés & Restaurants
·Jul – Sep 25
Pizza Club is right in the middle
Sample of brands in the same percentile
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.
Pizza Club's market performance is at the 55th percentile in New Zealand's Cafe & Restaurants industry, indicating an average market standing. This means Pizza Club captures an average share of customer traffic compared to its peers. Performance peers in the same percentile range include Robert Harris. Brands in adjacent percentile ranges include Carl's Jr., 中国兰州老白家牛肉面总店No.1 Beef Ramen, and Me & Chef.
Customer satisfaction (CSAT) reflects customer happiness, impacting loyalty, brand reputation, and revenue. High CSAT scores often correlate with repeat business.
Pizza Club's overall customer satisfaction is 67%, a decrease of 8.5 percentage points year-over-year. Canterbury shows the highest CSAT at 100% with an 18.2 percentage point increase, while Waikato has the lowest at 41% with a 45.5 percentage point decrease. This indicates varying customer experiences across different states.
Average check reveals spending habits, informing pricing and menu strategies. Monitoring this KPI helps optimize revenue per customer transaction.
Pizza Club's overall average check is 37.1 NZD, a 14.5% increase year-over-year. Auckland's average check is 35.5 NZD with no growth. This suggests customers are spending more per visit overall, but Auckland's spending remains stable.
Outlet count indicates brand reach and market presence. Tracking outlet distribution informs expansion strategies and market penetration efforts.
Pizza Club has a total of 29 outlets in New Zealand. Auckland has the highest number of outlets with 20, followed by Waikato with 3, and Canterbury with 2. Other regions including Northland, Wellington, Bay of Plenty and Manawatū-Whanganui each have 1 outlet. This shows a concentration of outlets in Auckland.
Competitor analysis identifies key rivals and customer overlap. Understanding cross-visitation patterns informs competitive strategies and marketing efforts.
Pizza Club's top competitors based on cross-visitation are McDonald's (17.18%), KFC (9.20%), Domino's Pizza (8.59%), Pizza Hut (7.98%), and Burger King (7.98%). This indicates that a significant portion of Pizza Club's customers also visit these fast-food chains.
Traffic workload analysis reveals peak hours, enabling efficient staffing and resource allocation. Understanding customer traffic patterns optimizes operational efficiency.
Pizza Club experiences peak traffic workload between 10 AM and 10 PM, with the highest traffic around 6 PM (61.35%). Traffic is minimal between midnight and 9 AM. This data suggests optimal staffing during peak hours to manage customer flow effectively.
Consumer segment analysis informs targeted marketing. Understanding gender and generational preferences enables tailored campaigns and product positioning.
Pizza Club's customer base shows a high affinity among women (78%, under-indexed) and men (120%, over-indexed). Among generations, Gen X shows an affinity of 57% (under-indexed), while Gen Y and Gen Z show affinities of 104% and 101% (both over-indexed), respectively. This suggests targeted marketing towards Gen Y and Gen Z may be particularly effective.