Typical effectiveness research into Advanced Driver Assistance Systems (ADAS) based on accident data covers the impact on injured or killed persons. While recent decades have seen a reduction in injuries, accidents with property damage continue to increase. Furthermore, in Germany, they have the highest economic cost. Due to the greater availability of systems that address property damage cases by avoiding or mitigating accidents, it is becoming increasingly interesting for manufacturers, insurers or customers to proactively evaluate the monetary effectiveness of these systems. Avoiding property damage accidents may result in a reduction of insurance premiums or repair costs for customers. This paper discusses a new method for benefit effectiveness evaluation in detail and investigates the most relevant property damage accidents for Germany: parking and maneuvering. Simulation results for an ADAS with fully-automated intervening functions and the hitherto-unknown collision speed distribution for parking and maneuvering accidents based on a naturalistic driving study (SHRP2) are analyzed. The proposal described here is focused on lower collision speed accidents, as property damage accidents are 40 times more frequent in Germany than those resulting in bodily injury. Due to the high claim frequency and expectancy of property damage accidents, various ADAS offer a potential to mitigate or avoid accidents. These benefits need to be evaluated as a prospective, representative and monetary effectiveness method. Thus, a bottom-up approach will be pursued in order to encourage the ADAS installation rate by highlighting its monetary benefit.