In machine learning and deep learning, identifying the right metric before experiments begin is essential. Machine learning models are built to achieve whatever programmers identify as the target, but if that target doesn’t map back to a business goal, the model will fail to provide real value. When applied to the right metrics these models can provide incredible business value, but when optimized towards the wrong goals they can also cause incredible business loss.