At PMR, the accuracy of our forecasts is the foundation upon which we build trust with our business partners. In the cosmetics market, we verified the accuracy of our forecasts using the mean absolute percentage error (MAPE)—a metric that shows how much PMR Forecasts differ from actual values.
We calculated the accuracy of the PMR Forecasts using the mean absolute percentage error (MAPE), which measures how much the PMR Forecasts differed, on average, from the actual values:

Verifying the accuracy of the forecasts presented some challenges—some of the historical data was updated to reflect the latest information and to verify previous estimates of market value. Although these changes do not significantly affect the overall market picture, they may impact the accuracy of the MAPE calculations.
To ensure full transparency, we present the results in two formats:
In both approaches, the forecast errors for the cosmetics market are very low—most often well below 3%. Even without adjusting the historical data, the error does not exceed this value. This means that, from a technical and statistical standpoint, PMR Forecasts are highly accurate.
Reliable forecasts are the foundation of effective strategic planning, investment, and risk management. Thanks to PMR Forecasts, decision-makers can make informed decisions based on analyses that accurately reflect market conditions.
PMR Forecasts for the cosmetics market are highly accurate, and our methodology ensures the transparency and reliability of our data—regardless of changes in historical data. This is a value that directly translates into business success for our partners.
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