Our goal is to set a new industry standard for Social data in terms of how clean, useful and reliable it is. To achieve this we spend a huge amount of our time and resource removing irrelevant noise and content from Social data. For example, if a beverage brand wants to understand how the Lemonade conversation will evolve, all irrelevant content - like Beyonce’s album of the same name - needs to be first removed. Otherwise, the data will be skewed and our subsequent predictions will be less accurate.

A variety of publicly available Social data sources including: Blogs (e.g. HuffPost), Message Boards (e.g. Reddit), News Sources (e.g. The Wall Street Journal), Reviews, (e.g. Amazon reviews) and Social Networks (e.g. public tweets from Twitter). We can also utilise our specific regional social data partnerships such as Sina Weibo in China and VK in Russia.