Factorial designs eliminate all confounding variables automatically without the researcher's effort

Factorial designs can detect interaction effects (whether the effect of one factor depends on levels of another factor) in addition to main effects

Factorial designs are always less expensive and faster than separate experiments

Factorial designs require no statistical analysis, and results are immediately obvious from raw data