Many students lack personalized information about college and the admissions process. Forty percent of high school students use Naviance, a software that provides students information about colleges and their acceptance criteria based on data from a student's own high school. I show that students' application choices respond to this information using a regression discontinuity design. Students whose GPA is just below that of the average acceptee's are ten percent less likely to apply to the college than students just above it. This translates into an effect on where students attend college. Students update their application choieces based on the experiences of their peers and the information Naviance provides. Thus, personalized information can impact college choices but the framing of it is important.