Tom Tom Founders Festival 2018

What can we learn from a one-billion-person live-poll of the Internet? Parse.ly has gathered a unique and massive data set of over 1 billion monthly devices, who collectively perform over 2 million sessions per minute on over 2,500 high-traffic news and information websites. Our team of data scientists and machine learning engineers have used this data to unearth the secrets behind online content. Parse.ly serves 300+ enterprise clients with its real-time analytics platform, but the aggregate data exhaust from these integrations provides a front-row seat to what the Internet is looking at today. We'll discuss, through data and visualizations, how consumer attention in the web era really works. We’ll also showcase how we recently applied modern natural language processing techniques to better understand our data set. Throughout, we’ll describe findings related to news trends, social networks, search engines, and device usage patterns. We’ll even discuss some of our predictions about offline consumer behavior, such as which movies would win at the box office based on the web attention those movies received in weeks prior.