Book a demo—
Join us for a demo where we'll discuss how Realytics can support your business growth and adaptability in changing market conditions
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 Starbucks performance in the Thailand and how they change over time
See what factors influence Starbucks performance in the Thailand 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 Starbucks' competitors in the Thailand
An analysis of Starbucks' competitors in the Thailand
In Cafés & Restaurants
·Jul – Sep 25
Starbucks is in the top 15% of brands
Sample of brands in the same percentile
Top-5 brands that brand's customers also visit
Cafés & Restaurants
Market performance percentile shows brand's share of foot traffic, revealing its competitive strength and customer preference.
Starbucks in Thailand holds a market performance percentile of 85, placing it in the average/above average range. This indicates a solid market presence relative to competitors like Cafe phuket view point and McDonald's, which are in a similar range.
Customer satisfaction (CSAT) reflects brand perception and loyalty, directly impacting retention and revenue growth.
Starbucks in Thailand boasts an overall CSAT of 80%, a 1.5 percentage point increase year-over-year. Prachuap Khiri Khan and Songkhla Provinces show 100% satisfaction, while Rayong and Pathum Thani Provinces experienced slight decreases. This indicates generally positive customer sentiment.
Average check reveals customer spending habits, crucial for revenue forecasting and pricing strategy optimization.
The average check for Starbucks in Thailand is 270 THB, a 5.3% increase year-over-year. Phuket Province has the highest average check at 422.7 THB. This suggests customers are spending more per visit, contributing to increased revenue.
Outlet count indicates market reach and accessibility, influencing brand visibility and customer convenience.
Starbucks has the most outlets in Chon Buri Province (26), followed by Nonthaburi Province (24). This distribution reflects strategic expansion efforts to maximize customer access across key regions in Thailand.
Competitor analysis identifies key rivals and cross-visitation patterns, informing competitive strategies and market positioning.
Café Amazon is the top competitor with a cross-visitation rate of 11.11%, followed by McDonald's at 8.26%. This indicates a significant overlap in customer base, highlighting the need for Starbucks to differentiate its offerings.
Traffic workload analysis by hour reveals peak times, enabling efficient staffing and resource allocation.
Starbucks experiences peak traffic between 12:00 PM and 2:00 PM (hod 12-14), with the highest workload at 1:00 PM. Traffic starts to increase significantly from 6:00 AM. This data informs staffing and operational decisions.
Understanding consumer segments by gender and generation enables targeted marketing and product development.
Women (66%) show a high affinity. Men (130%) are overrepresented. Gen X (152%) shows a high affinity, while Gen Y (91%) and Gen Z (62%) are underrepresented. This data suggests targeted marketing strategies should consider these segment preferences.