FanThreeSixty offers data-driven solutions for every touchpoint throughout the fan journey. Founded by owners and executives of Sporting Club and MLS team Sporting Kansas City, we transform the way teams act on their fan data.
KANSAS CITY, Mo. — FanThreeSixty, a leading fan engagement software and predictive analytics company for sports and entertainment, announced today the addition of expert data scientist David Longstreet to its executive leadership team.
As the Chief Data Scientist, Longstreet is responsible for leading and developing FanThreeSixty’s predictive analytics capabilities. His efforts include developing products and algorithms for FanThreeSixty’s proprietary predictive sales and attendance models, as well as behavioral analysis to enrich fan profiles that result in smarter audience segments and targeting.
“We’re excited to have David join FanThreeSixty and lead our growing team of data scientists,” said Jason Houseworth, CEO, FanThreeSixty. “David joins us at a time when we’re scaling our predictive analytics and David’s deep experience in building algorithms that drive successful business outcomes will be a tremendous asset as we extend the capabilities of our fan engagement platform.”
In this role, Longstreet will also work closely with FanThreeSixty’s clients to uncover actionable insights, transforming the way act they act on their fan data.
“In the world of sports, analytics are primarily used by the athletes and coaches as a means to improve performance.” said Houseworth. “David will give our clients access to cutting-edge data science analysis and insights that help them optimize sales and marketing efforts in order to maximize the value of their fan bases.”
Longstreet joins FanThreeSixty from H&R Block where he served as director of data science, leading a team that mined tens of millions of tax returns to uncover trends and patterns that improved tax products, operations, customer service and more. He brings over 20 years in experience and has an extensive background in consulting, research and academics in data science, economics and statistics. Longstreet has consulted worldwide and conducted research with the Bureau of Economics Analysis and several universities, resulting in numerous published articles and three books.