Melanoma risk stratification is crucial for both patients and physicians. Patients want to understand what to expect after diagnosis, and physi-cians need to decide on an appropriate treatment plan. Traditionally, risk stratification has been based on Breslow thickness and sentinel lymph node (SLN) status. However, the introduction of CP-GEP (Merlin) has provided a molecular test that can be performed on primary melanoma diagnostic biopsy tissue, offering additional risk stratification beyond established variables. In this review, we assess the utility of CP-GEP test-ing compared to clinicopathologic variables and SLN status and propose a multilayered approach to selecting patients for adjuvant therapy using CP-GEP technology.