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 Hut performance in the Pakistan and how they change over time
See what factors influence Pizza Hut performance in the Pakistan 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
An analysis of Pizza Hut' competitors in the Pakistan
An analysis of Pizza Hut' competitors in the Pakistan
In Cafés & Restaurants
·Jul – Sep 25
Pizza Hut 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 Hut's market performance in Pakistan is at the 50th percentile, indicating an average market position. This means Pizza Hut's foot traffic is on par with the median within the Cafe & Restaurants industry. Performance peers in the same percentile range include Caesar's Pizza, Mastani Gulberg, Butt Karahi, Whites Castle Pizza, Basti The Food Street, and Nalli Pur - Biryani & Pulao.
Customer satisfaction reflects brand perception and loyalty, directly impacting revenue and long-term sustainability.
Pizza Hut in Pakistan has an overall customer satisfaction of 73%, a 2.7 percentage point increase year-over-year. Islamabad Capital Territory shows a high CSAT of 75% with a significant increase, while Punjab has a CSAT of 73% with a slight decrease. This suggests generally positive customer sentiment, with regional variations needing attention.
Average check reveals customer spending habits, crucial for pricing strategies and revenue optimization.
Average check data for Pizza Hut in Pakistan shows Islamabad Capital Territory at 3.2K PKR and Punjab at 2.7K PKR. There is no growth data available. The dynamic data shows a fluctuating average check over the months, decreasing from 2922.73 PKR in June to 1884.62 PKR in August.
Outlet count indicates market reach and expansion, influencing brand visibility and accessibility.
Pizza Hut has 41 outlets in Punjab, 8 in Islamabad Capital Territory, 7 in Khyber Pakhtunkhwa, 6 in Sindh, and 1 each in Azad Kashmir, Balochistan, and Gilgit-Baltistan. Punjab dominates the outlet distribution, indicating a strong presence in that region.
Competitor analysis identifies key rivals and customer preferences, informing competitive strategies and differentiation.
Pizza Hut's top competitors in Pakistan, based on cross-visitation, are KFC (17.99%), McDonald's (12.23%), Cheezious (11.51%), Domino's Pizza (5.76%), and Kababjees (4.32%). This indicates that customers who visit Pizza Hut also frequently visit these brands, highlighting direct competition.
Traffic workload analysis optimizes staffing and resource allocation, ensuring efficient service during peak hours.
Pizza Hut's peak traffic workload occurs between 18:00 and 21:00, with the highest workload at 21:00 (58.42%). Traffic is lowest between 3:00 and 7:00. This data suggests optimal staffing and resource allocation should focus on evening hours.