As CVTs are bought as off-the-shelf products, a team can profit from tuning the CVT according to their car’s dynamics. This is generally in the form of customising components such as the weights or the springs inside the CVT pulleys such that the shift speed and engagement RPM of the CVT can correspond to the optimal conditions for maximum acceleration/torque of the car. Many teams that wish to customise their CVTs adopt a time-consuming, expensive and inefficient trial-and-error approach whereby they manufacture different versions of each component and then test the performance of the car with each different component. Moreover, the added step of measuring the vehicle’s end performance can add to the challenges as the entire car must be ready before the CVT can be tuned. The purpose of this paper will be to outline the specific CVT tuning objectives, use a MATLAB model to generate the results of CVT parameter tuning on vehicle performance and lastly analyse the results to develop meaningful conclusions regarding which parameters and components one should focus their efforts on to get the most significant change in CVT performance.