Despite the importance of such forecasts, the motion picture industry struggles to understand and predict sales of new movies in domestic and overseas markets. A Bayesian modeling framework is developed that predicts first-week viewership for new movies in both domestic and several international markets. The number of screens, distribution strategy, movie attributes such as genre, and presence/absence of stars are among the factors modeled to influence viewership. Results indicate that for all the countries in the data set, the number of screens on which movies is released in the most important influence on viewership. Furthermore, local distribution improves movie sales internationally in contrast to the domestic market.