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This study analyses the effect of a low-cost, personalized online information intervention on the number of occupations in which students considering vocational education and training apply for work shadowing. Using Swiss data, I exploit the introduction of an occupation finder – a tool for suggesting occupations matching students’ stated preferences – with a regression discontinuity design. My findings show that the introduction of the occupation finder broadens the set of occupations for which students apply by roughly 0.3, and using the occupation finder results in students applying to six additional occupations. Subgroup analysis shows that the introduction of the occupation finder especially affects students living in urban areas. Thus, it is possible to provide low-cost tailored information to broaden students’ occupational interests.