What are common benchmarks for evaluating MAPE in practice?

There are no universally agreed-upon benchmarks for MAPE, as acceptable error levels vary significantly by industry, product lifecycle, and forecast horizon. However, generally, lower MAPE values indicate better forecast accuracy. Some practitioners use categories like <10% as excellent, 10-20% as good, 20-30% as fair, and >30% as poor, but this is context-dependent.