Search among the top café & restaurant brands by number of locations
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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
Noodle Box is in the lower 41% of brands
Sample of brands in the same percentile
See what factors influence Noodle Box performance in the Belgium and how they change over time
See what factors influence Noodle Box performance in the Belgium and how they change over time
Available by subscription
Available by subscription
An analysis of Noodle Box' competitors in the Belgium
An analysis of Noodle Box' competitors in the Belgium
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
Search among the top 10,053 café & restaurant brands by number of locations
Cafe & Restaurants
Market Performance percentile indicates the brand’s share of foot traffic, revealing its competitive strength and customer preference.
Noodle Box's Market Performance in Belgium is at the 41st percentile, indicating a below average market standing. This means the brand attracts less traffic than the majority of its competitors. Performance peers within a similar percentile include Wok ô Sushi, Snack & Resto, Cafe Taxi, Saitama Sushi, Den Gouden Osse, and Nonna's Family Pizza é Pasta.
Number of Outlets reflects market reach and growth. Tracking outlet count helps assess expansion and market penetration.
Noodle Box has 1 outlet in Wallonia, Belgium. The presence in only one region indicates a limited market coverage, highlighting a need for potential expansion strategies.
Traffic Workload identifies peak hours, enabling efficient staffing and resource allocation to maximize customer experience.
Noodle Box in Belgium experiences peak traffic workload between 12:00-13:00 (30.57% and 29.00% respectively), 17:00 (39%), 18:00-21:00 with the highest workload at 19:00 (69.14%). This data enables optimized staffing during peak hours.