Likely has been at the forefront of social media data collection and analysis, having helped companies such as Coca-Cola and the British Government develop a highly engaging, hyper-relevant presence on Facebook. We have created a unique data set of over five billion social interactions – such as follows, shares and comments – to better understand how people cluster around things they are passionate about. By looking at brands as a collection of “passion points”, we have found that it's easier to discover the people that are most likely to engage with a brand’s content, understand what will resonate most with them and attract them to a brand’s social media presence. We have delivered advertisers uniquely high-quality relevant audiences, cost-effectively, and at scale. Using our own techniques, we have also built our own communities in London, including: - https://twitter.com/@ldn - https://www.facebook.com/HandpickedLondon Likely has used it’s experience in understanding how to connect audiences with the content they will love, to launch a ‘Handpicked Personal Shopper’ app which helps females discover fashion at their fingertips. We aggregate products from multiple retailers, and using our unique technology and algorithms, we recommend better items for users based on their swiping history (in a Tinder style app experience). http://www.likely.co https://www.handpicked.org https://itunes.apple.com/gb/app/handpicked-personal-shopper/id953042207?mt=8