#sensq

What people write and read online is more important than ever. It both reflects and shapes people's opinion.

According to statistics provided by Facebook (May 5, 2016), 94% of Malaysians discover products and brands on Facebook and 62% of them makes a purchase after the discovery. This shows that the online reviews can be a decisive factor to lead a successful word of mouth and real sales increases through reducing anxiety about new products and sharing information to peers.

"Malaysian businesses cannot afford not to participate in social media. It's too much of a risk," 

Neil Meikle, associate director of PwC Consulting Services Malaysia.

However, the social media data is too large, your social media manager does not have enough resources to accelerate the process from data to decision. The time and attention required to sift through the massive social media posts relevant to your goals may cost more than the resulting insights are really worth. We need a way to extract the real-time online conversations into context on important topics that the customers most care about, fast and accurate.

I'm going to relaunch Sensq, a social media analysis for market research as a semi-managed SaaS.  Sensq collects millions of consumer-generated opinions from the internet and social media every day. Then we use the technology we’ve built up over the past decade for the big Enterprise (Croakun) to extract meaningful information from those opinions for our clients.

*semi-managed: I found that most is struggling to use a social media analysis software, from research to choosing the right keywords/profiles to monitor. So we will do the research and setup the initial analysis dashboard for customers based on their objectives, getting what they only need, i.e. actionable information, without hassle. 

I will fully adopt the Lean Startup methodology to build Sensq and the result will be available publicly for mutual learning. The goal is to test the market with a Minimum Viable Product (MVP), generating qualitative and qualitative data before committing more resources.

Vision