Much research on racial segregation focuses on segregation in a purely residential sense, measuring the spatial separation of individuals' actual residences. Subsequently, it is commonly surmised that the true extent to which racial groups are spatially separated in everyday life is well represented by these residential separation metrics. Less research has articulated the degree to which different racial groups' everyday lives are spatially separated. Utilizing anonymized cell phone data on 8 billion visits to 4 million unique points of interest in the United States throughout 2018, I analyze how Black-White racial segregation operationalizes in non-residential contexts. Distinct from previous approaches that tend to underestimate racial segregation, I utilize a novel method to approximate the extent to which within-neighborhood visit patterns vary racially, resulting in a more flexible and realistic simulation of the extent to which visitors are racially segregated across points of interest in the 50 largest metropolitan areas in the United States. I find that everyday racial segregation varies substantially depending on the type of context. Additionally, habits seem to structurally discourage interracial ties, as Black Americans are less likely to make visits to more integrated spaces and, when they do, are less likely to repeat them. Further, the integrated spaces Black Americans visit generally lack the right characteristics to be conducive to interpersonal and cross-racial contact. Ultimately, I argue that residential segregation metrics provide an incomplete picture of how actual segregation in everyday contexts manifests itself.