Distinguishing between a signal induced by stellar activity or a planet is the main challenge in radial velocity searches for low-mass exoplanets these days. Even when the presence of a transiting planet and hence its period are known, stellar activity can be the main barrier in nailing down the correct amplitude of the radial velocity signal. Several tools are being used to help understand which signals come from stellar activity in the data. We present a new tool, using the Bayesian general Lomb-Scargle periodogram, that can be used for the purpose of identifying periodicities caused by stellar activity, based on the principle that stellar activity signals are variable and incoherent. This tool can also be used to track the SNR of the detection over time.