Yieldbot is a startup company tackling a big data problem. Their web-based software product analyzes website traffic data to help online publishers optimize their ad revenue. GroupVisual.io was engaged to design the user interface for their initial software product offering. Yieldbot’s technology pulls in their clients’ clickstream data and applies their own proprietary analytics to interpret visitors’ “intention” based upon keywords used and other data. Having insight into visitors’ intentions enables publishers to better match advertising and tailor content to those visitors. “We tell publishers why visitors want to view every page of their website and make those findings actionable in realtime. To do this we collect massive amounts of data and solve complex problems with it,” says Jonathan Mendez, Yieldbot’s founder and CEO.

The application would bundle keywords and phrases into intent “segments” and serve these to marketers to analyze and choose which ones to implement. Yieldbot’s technology could not only track the historic performance of keyword phrases (page views, landings, bounce rates, etc.), but would also predict future performance. Users would need to see the data around these keywords, be able to analyze and manipulate the keywords and segments and implement their choices.

Read the full case study with juror comments here: [http://www.aiga.org/justified-2012--case-study--visualizing-intent/]