This paper documents the design and results of a study on tourists’ decision-making about
destinations in Sweden. For this purpose, secondary data, available from surveys were used to
identify which type of individual has the highest probability to revisit a destination and what
are influencing factors to do so. A binary logit model is applied. The results show that very
important influencing factors are the length of stay as well as the origin of the individual.
These results could be useful for a marketing organization as well as for policy, to develop
strategies to attract the most profitable tourism segment. Therefore, it can also be a great support
for sustainable tourism development, where the main focus does not has priority on increasing
number of tourists.