A common motivation for cluster sampling is to reduce costs by increasing sampling efficiency. This contrasts with stratified sampling where the motivation is to increase precision.
The primary goal of cluster sampling is to optimize cost-effectiveness by maximizing the number of samples collected per unit of time, while stratified sampling prioritizes accuracy and precision in its selection process.