Abstract: A system and method to optimize rent for rental property management is disclosed. The system allows a user to calculate optimal rents for any variety of rental strategies using the same general algorithm. The system stores past and present competitor rents in a storage base. The rent data is taken from different users who may be in different rental locales. The system also has data relating to the last reference rent, a factor indicating aggressiveness in renting, a medium brake factor at which rent is lowered to that of the competitors and a high brake factor. The reference rent is calculated by a rent engine using these variables. The user may adjust the data for different rental strategies. The system allows a user to display the rent values for different unit types and break down the data into discrete samples.