This article studies the problem of designing Bayesian sampling plans for exponential distributions with type-I progressive hybrid censored samples. Two loss functions, say L_1 and L_2, are considered. Due to the difference between the two loss functions, for each loss function, a method is developed for deriving the Bayesian sampling plan. We compare the performance of the proposed sampling plans with the sampling plans of Lin et al.(2013) under L1 loss, and with the sampling plans of Lin and Huang (2012) under the L2 loss. The numerical results indicate that the proposed sampling plans outperform much than the sampling plans of Lin et al.(2013) and Lin and Huang(2012), respectively.