[2016 Velocity NY] There has been a lot of historical work that looks at the relationship between performance and conversions, but most of it has been after the fact or relied on linear models. Google partnered with SOASTA to train a machine-learning model on a large sample of real-world performance, conversion, and bounce data. Patrick Meenan and Tammy Everts offer an overview of the resulting model, able to predict the impact of performance work and other site metrics on conversion and bounce rates. The code used to generate the model is freely available.