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CultureSaaS

How Does Starbucks Decide Where to Put New Stores in Thailand?

Ranvir Singhsachakul
Last updated: March 28, 2024 2:54 am
Ranvir Singhsachakul
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This is a guest post by Ranvir Singhsachakul who is a project consultant at Message Spring. Ranvir has worked at startups across SEA such as Bolttech and Salary Hero, and closely monitors the latest tech trends as they rise to prominence. Ranvir lives in Bangkok.
Guest Post Series: Ranvir Singhsachakul

If you live in Thailand like me, you’re probably sitting in Starbucks AT LEAST once per week. 

Over the last few years, Starbucks has become like 7-11 in Bangkok – there’s at least 3 of them on each street! Seeing their stores packed despite selling coffees at exorbitant prices often reminds me about an article that labelled them the world’s biggest bank. 

But as a marketing director for an IT SaaS company, I got to thinking about them in a different way. How do they manage to succeed and expand at a rapid pace by charging exorbitant prices, more than most Thais on a sub-100K salary can afford? 

The secret is business intelligence. 

Having done some light reading, I found out that Starbucks:

  • Uses business intelligence holistically to study what drinks are popular in different areas and at what times. 
  • Uses their app to study patterns, loyalty and purchasing behavior. 
  • Starbucks factors in demographics, weather patterns, and even foot traffic when choosing new locations. This ensures they put stores where coffee lovers crave them most.

But most importantly, like for any business, the power of BI helps Starbucks predict trends.

Using a very deep lake of data and analytics, the company can see what seasonal drinks are popular and use that to forecast demand for new products. 

MessageSpring: Bangkok’s New Center for Business Intelligence

At MessageSpring, we are in the process of building a Business Intelligence Center of Excellence (COE). Based right in the heart of Bangkok, we offer a highly skilled, certified and efficiently lean team that can tackle complex projects and deliver results in the fields of BI. 

Having built my own career in the tech and startup space, I’ve seen how business Intelligence can be used in any field, be it insurance, finance, airliners, retails and even education.

My take is that BI empowers businesses to make data-driven decisions that boost efficiency, improve customer satisfaction, and ultimately increase profits. 

Spring Forward With Us. 

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