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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
See what factors influence Bajeko Sekuwa performance in the Nepal and how they change over time
See what factors influence Bajeko Sekuwa performance in the Nepal and how they change over time
Available by subscription
Available by subscription
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 Cafés & Restaurants
In Cafés & Restaurants
An analysis of Bajeko Sekuwa' competitors in the Nepal
An analysis of Bajeko Sekuwa' competitors in the Nepal
Top-5 brands that brand's customers also visit
Search among the top brands by number of locations
In Cafés & Restaurants
·Jun – Aug 25
Bajeko Sekuwa is in the top 1% of brands
Sample of brands in the same percentile
Cafés & Restaurants
Market performance percentile shows brand's foot traffic share, reflecting its competitive strength and customer preference in the industry.
Bajeko Sekuwa holds a leading market performance at the 99th percentile, placing it in the top 1% of brands. This indicates a strong competitive position compared to peers like The Urvin's Garden Restaurant, Jigri Sekuwa, Michael Grills, Fine Diners, Windy Hill Hotel and Restaurant and Local Thakali, which are also at the 99th percentile.
Customer satisfaction (CSAT) reflects brand perception and loyalty. Tracking it helps understand customer happiness and identify areas for service improvement.
Overall customer satisfaction for Bajeko Sekuwa is 69%, a decrease of 11.4 percentage points year-over-year. Bagamati Province shows 74% satisfaction, Gandaki Province 73%, and Koshi Province 54% (significant drop). CSAT decreased between May (79.59%) and July (61.90%) 2025, showing a decline in customer experience.
Average check reveals customer spending habits. Tracking it aids in revenue forecasting, menu optimization, and understanding pricing effectiveness.
The overall average check for Bajeko Sekuwa is 2.2K NPR, up 13.3% year-over-year. Bagamati Province has an average check of 2.2K NPR, while Koshi Province has 2K NPR. The average check fluctuated between May (2380 NPR) and July (2218.75 NPR) 2025, suggesting changes in customer spending.
Number of outlets indicates brand reach and growth. Tracking it reveals expansion progress and market penetration within different regions.
Bajeko Sekuwa has 12 outlets in Bagamati Province, 1 in Gandaki Province, 1 in Madhesh Province, 1 in Koshi Province, and 1 in Lumbini Province. This indicates a strong presence in Bagamati, while other provinces have limited representation.
Competitor analysis identifies key rivals and customer cross-visitation patterns, informing competitive strategy and marketing efforts.
Customers of Bajeko Sekuwa also frequently visit Himalayan Java Coffee (6.72% cross-visitation), The Burger House & Crunchy Fried Chicken (5.04%), Drishya Lounge (4.20%), Haadi Bistro & Cafe (3.36%) and Chiya Kuti (3.36%). This suggests these brands cater to similar customer segments.
Traffic workload distribution shows peak hours and customer flow, optimizing staffing, promotions, and resource allocation.
Bajeko Sekuwa's traffic workload peaks between 18:00 and 19:00 (74.23% and 74.52% respectively), with high activity from 9:00 to 21:00. Minimal traffic occurs between 0:00 and 7:00 and after 21:00. Resource allocation can be optimized based on this.
Consumer segment analysis informs targeted marketing and positioning strategies based on demographic insights.
Women are under-indexed (41 affinity) while men are over-indexed (124 affinity) among Bajeko Sekuwa's consumers. Gen X is slightly over-indexed (104 affinity), Gen Y is under-indexed (80 affinity), and Gen Z is highly over-indexed (169 affinity). These affinity indexes should not be read as percentages of total customers.