We fitted a one-phase exponential decay function (primary term) to the relationship between the sum of the CMT scores of productive quarters (SCMT, 0 to 16) and daily milk production per cow (MPC, kg/day). We added the multiplicative factors test day (T, 1 to 12), days in milk (D, 2 to 196), months of age of cow (A, 25 to 209), and the number of productive quarts (Q, 1 to 4) to the model to adjust the primary term for their effects. We calculated a conversion factor (CF, 0 to 1) from the primary term as a quotient between the predicted MPC at the i-th SCMT divided by the predicted MPC at SCMT=0. The calculated projected MPC was that of the cow as if it were SCM-free. We obtained it by dividing the observed MPC on test day by the CF. The difference between the projected and observed MPC was milk loss multiplied by MX$ 5.50 (US$ 0.275), and the price of milk at the farm´s gate gave economic loss. The model was: MPC = [(7.60 – 4.68)e-0.1773SCMT +4.68](T-0.0791 )(D-0.1701 )(A0.1855 )(Q0.1835 ) with an R2 of 0.3975. The average cow had an SCMT=6, T=7, D=75, A=79, and Q=4. The predicted MPC at SCMT=0 was 9.1 kg/cow, and at SCMT=6 it was 6.8 kg/cow; the CF = 6.8/9.1 = 0.7484. The observed MPC on test day was 5.8 kg/day; then, the projected MPC at SCMT=0 is 5.8/0.7484 = 7.7 kg/day. Then, milk loss is 7.7-5.8 = 1.9, and economic loss is MX$ 10.72/day. It was straightforward to devise and implement this type of calculation of milk and economic losses.