  Dark Matter experiments searching for Weakly interacting massive particles
(WIMPs) primarily use nuclear recoils (NRs) in their attempt to detect WIMPs.
Migdal-induced electronic recoils (ERs) provide additional sensitivity to light
Dark Matter with $\mathcal{O}(\text{GeV}/c^2)$ masses. In this work, we use
Bayesian inference to find the parameter space where future detectors like
XENONnT and SuperCDMS SNOLAB will be able to detect WIMP Dark Matter through
NRs, Migdal-induced ERs or a combination thereof. We identify regions where
each detector is best at constraining the Dark Matter mass and spin independent
cross-section and infer where two or more detection configurations are
complementary to constraining these Dark Matter parameters through a combined
analysis.
