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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 Pizza-La performance in the Japan and how they change over time
See what factors influence Pizza-La performance in the Japan 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-La' competitors in the Japan
An analysis of Pizza-La' competitors in the Japan
In Cafés & Restaurants
·Jul – Sep 25
Pizza-La 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-La's market performance is at the 46th percentile, indicating a below average/lagging market position. This suggests a need to improve its competitive standing. Performance peers in the same percentile range include 花串庵 MIYABI, 地鶏と鮮魚×完全個室 焼き鳥職人 龍 -新潟本店-, Kyoto Hyoto, Europe-ken, Oyster and Japanese Wagyu "Shinagawa Shoten", and IDATEN BETTEI Honten.
Customer satisfaction reflects brand perception and loyalty, directly impacting revenue and long-term sustainability.
Pizza-La's overall customer satisfaction is 59%, a slight increase of 0.8 percentage points year-over-year. Shizuoka Prefecture shows the highest satisfaction at 71%, while Kyoto Prefecture has a lower satisfaction at 55% with a decrease of 8.6 percentage points. This suggests regional variations in customer experience.
Average check reveals customer spending habits, crucial for pricing strategies and revenue optimization.
The overall average check for Pizza-La is 2.6K JPY, a slight increase of 0.3% year-over-year. Kanagawa Prefecture has the highest average check at 3.9K JPY. This indicates variations in spending habits across different regions.
Outlet count indicates market reach and brand presence, influencing accessibility and customer convenience.
Pizza-La has the most outlets in Kanagawa Prefecture (55), followed by Osaka Prefecture (46) and Saitama Prefecture (45). This distribution highlights key markets for the brand, with Kanagawa having the strongest presence.
Competitor analysis identifies key rivals and customer preferences, informing competitive strategies and market positioning.
Pizza-La's top competitors based on cross-visitation are McDonald's (16.83%), Sukiya (9.90%), KFC (8.42%), 店 (8.42%), and 店 (5.45%). This indicates that Pizza-La customers also frequently visit these fast-food and restaurant chains.
Traffic workload analysis optimizes staffing and resource allocation, ensuring efficient operations and customer service.
Pizza-La experiences peak traffic workload between 11 AM and 1 PM, and again between 4 PM and 8 PM, with the highest workload at 6 PM. Traffic is minimal during the early morning hours. This data informs staffing and resource allocation strategies.
Understanding consumer segments enables targeted marketing, improving engagement and ROI.
Pizza-La's customer base shows a high affinity towards women (89%) and men (108%). Gen Y (115%) and Gen X (106%) are overrepresented, while Gen Z (95%) is slightly underrepresented. This suggests targeted marketing towards Gen Y and Gen X.