Abstract A computer-implemented method of optimizing a marketing campaign of a saleable commodity is disclosed. The method comprises receiving from a user one or more descriptors relating to said saleable commodity. The method further comprises identifying, based on said one or more descriptors, comparable saleable commodities for which marketing has been conducted, and retrieving marketing data and/or sales data corresponding to said one or more comparable saleable commodities. The marketing data includes advertising selections used in the sale or attempted sale of said one or more comparable saleable commodities. The method further comprises aggregating said comparable saleable commodities into one or more advertising campaigns based upon said advertising selections, and calculating for each of said advertising campaigns performance data based upon said marketing data and/or said sales data. The method further comprises ranking, based on said performance data, the success of said one more advertising campaigns according to one or more predefined performance metrics, and assigning a marketing campaign to said saleable commodity based on the ranking of said one more advertising campaigns, said marketing campaign including a selection of said advertising selections. 2/4 START 202 Receiving from a user (e.g. vendor or selling agent) one 200 or more descriptors relating to the vendor' s property 204 Retrieving marketing and/or sales data corresponding to one or more comparable real estate properties 206 Aggregating comparable real estate properties into one or more advertising campaigns Calculating performance 208 data for each of the advertising campaigns 210 Ranking the advertising campaigns according to one or more predefined performance metrics 212 Assigning a marketing campaign to the property based on the ranking of advertising campaigns STOP FIGURE 2