Conventional amplitude-based indicators may be insufficient to characterise the effects of varying crack elevation in offshore wind turbine towers. To address this limitation, a bidirectional multi-feature sensitivity analysis was conducted using a finite element model based on the NREL 5 MW reference wind turbine. Transient dynamic analyses were performed in ANSYS under combined stochastic wind–wave loading. One intact case and five cracked cases with identical crack dimensions but different elevations were considered. Acceleration responses in the X and Y directions were extracted at eight measurement points. The root-mean-square value, peak absolute acceleration, dominant frequency, and frequency-band energy indices were calculated, and their sensitivities to variations in crack elevation were quantified using the absolute relative change with respect to the intact case. Under the adopted loading conditions, the X-direction response exhibited a larger overall amplitude. However, the RMS and frequency-band energy indices exhibited higher relative sensitivities in the Y direction, whereas the peak-value sensitivity was higher in the X direction. No detectable change in dominant frequency was observed at the adopted frequency resolution. Among the investigated features, the frequency-band energy in the 0–0.05 Hz band exhibited the highest sensitivity in both directions. Among the eight candidate measurement points, P1 showed the highest sensitivity under the considered loading and crack cases, and the sensitivity generally decreased with increasing measurement height. These findings provide a basis for damage-sensitive feature selection and sensor-layout optimisation in crack monitoring of offshore wind turbine towers.