We investigate how customers respond to an opaque airline product offered by a European
carrier. In this opaque product design, customers are randomly assigned to travel to one of
approximately ten destinations; however, for a fee they may exclude one or more destinations
from the choice set (or a particular package design) prior to learning which destination
they will travel to. We use a multidimensional binary logit model to predict the
probability that one or more alternatives will be chosen by a customer. Results show that
customers are more likely to pay to exclude destinations located close to the origin airport
and destinations that speak the same language as the origin airport. Length of stay, cost of
living at the destination, and measures of destination attractiveness are also found to be
significant predictors for some package designs. Based on these findings, we offer general
recommendations for how to design opaque packages for airline customers.