One of the lingering questions regarding the 2016 presidential election is ‘would things have been different, had Hilary Clinton visited Wisconsin?’ We tackle this question with a nonparametric identification strategy based on directed acyclic graph (DAG) and a Bayesian multilevel spatial statistical model to identify and estimate the campaign visit effect at the county-level. Our results suggest that the Wisconsin narrative misses the most important aspects of the 2016 election. In all counties in the 48 contiguous states, a Trump visit increases the support for Clinton. In half of the counties, a Clinton visit increases the support for Trump.