Interview with Kelly Choo, Cofounder Of Brandtology

If you find it hard to keep track of what consumers are saying about your brand online, you’re not alone. What might make your job harder though, is trying to decide online brand monitoring service you’ll go with. Brandtology purports to be different as it combines both technology and human oversight to ensure that your digital conversation monitoring is much more accurate. We sat with Kelly Choo, one of the co-founders of Brandtology to have a chat.

Hi Kelly, thanks for meeting with us. First, what is Brandtology?

We are a company that provides business and brand online intelligence services round the clock from a 24×7 Command Centres. Manned by trained specialists, Brandtology enables organizations around the globe to make timely and informed strategic decisions.

Brandtology’s Digital Conversation Management System (DCMS) is powered by an intelligent opinion mining and ticket-processing system which aids organizations in listening to online digital conversations generated from blogs, forums, micro-blogs, news sites and other social medium.

Brandtology serves a multitude of industries and public sectors in functions where online intelligence matters. Brandtology’s proprietary technologies, coupled with proven processes and trained specialists, enable clients to improve their brand equity, to increase revenue and to gain competitive edge.

Brandtology is about “Social Media Business Intelligence Redefined”.

When did this start?

Eddie Chau, the Founder & CEO had the idea back in 2006. The conceptualization stage, to operations, to till now took about one year from early 2009. We are now looking to expand from our current five offices.

Why did your team start Brandtology?

As social media gets more prolific, opportunities to understand what are the public’s sentiments towards a brand/organization becomes increasingly important. If you can understand sentiments and buzz in an accurate and timely manner, you will have an edge in sales, marketing, advertising, etc.

We found that organizations using existing technologies in this “opinion mining” space had many difficulties in deploying, maintaining, training and running a cost effective yet accurate intelligence providing system.