METHOD AND SYSTEM OF OPTIMIZING A MARKETING CAMPAIGN OF A SALABLE COMMODITY

• US 20130268349A1
• Filed: 03/08/2013
• Published: 10/10/2013
• Est. Priority Date: 03/09/2012
• Status: Abandoned Application

• Current Assignee: Corelogic Solutions LLC (CoreLogic Incorporated)
• Original Assignee: CoreLogic Incorporated
• Inventors: AMIRBEKYAN, Artak, DICKASON, Gregory John
• Application Number:
  US13/790,972
• Publication Number:
  US 20130268349A1
• Time in Patent Office: Days
• US Class Current: 705/14.43
• CPC Class Codes: G06Q 30/0244 Optimization
• CPC Class Codes: G06Q 50/16 Real estate

Abstract

Embodiments of the present invention may allow selling agents to create a marketing campaign analysis, and associated marketing campaign recommendations, for a prospective seller of a saleable in an interactive fashion with the prospective seller. Embodiments of the present invention may utilize historical marketing and/or sales data for comparable properties (that have either been sold or for which sale has, or is currently, being attempted) in order to identify successful advertising campaigns. The relative ‘success’ of an advertising campaign can be determined by reference to certain predefined performance metrics. Based upon the results of these performance metrics (which can be customized to meet a seller'"'"'s desired selling strategy), embodiments of the present invention may allow a selling agent to present the seller with one or more optimized marketing campaigns, from which a final marketing campaign can be selected for the listing of the subject property.

Claims

1. A computer-implemented method of optimizing a marketing campaign of a saleable commodity, said method comprising:

(a) receiving from a user one or more descriptors relating to said saleable commodity;

(b) identifying, based at least in part on said one or more descriptors, one or more comparable saleable commodities for which marketing has been conducted;

(c) retrieving, by a computing system comprising one or more processors, marketing data corresponding to said one or more comparable saleable commodities, said marketing data including advertising selections used in the sale or attempted sale of said one or more comparable saleable commodities;

(d) aggregating, by the computing system, said one or more comparable saleable commodities into one or more advertising campaigns based at least in part upon said advertising selections;

(e) calculating, by the computing system for each of said one or more advertising campaigns, performance data based at least in part upon said marketing data;

(f) ranking, by the computing system based at least in part on said performance data, success of said one more advertising campaigns according to one or more predefined performance metrics; and

(g) assigning a marketing campaign to said saleable commodity based at least in part on the ranking of said one more advertising campaigns, said marketing campaign including a selection of said advertising selections.

2. The method according to claim 1, wherein said saleable commodity is a real estate property and said one or more comparable saleable commodities are comparable real estate properties.

3. The method according to claim 2, wherein said one or more descriptors includes at least a geographical region in which the real estate property is located.

4. The method according to claim 3, wherein said geographical region includes one or more of:

(a) a street in which the real estate property is located;

(b) a suburb in which the real estate property is located; and

(c) a state in which the real estate property is located.

5. The method according claim 3, wherein said one or more descriptors also includes a property type classification.

6. The method according to claim 2, wherein for each of said comparable real estate properties said marketing data includes one or more of:

(a) an initial listing price for said comparable real estate property;

(b) a date on which said comparable real estate property was first listed; and

(c) advertising selections used in the sale or attempted sale of said comparable real estate property, including one or more of;

(i) a specific print medium used to advertise said comparable real estate property;

(ii) a specific radio medium used to advertise said comparable real estate property;

(iii) a specific television medium used to advertise said comparable real estate property; and

(iv) a specific online medium used to advertise said comparable real estate property.

7. The method according to claim 2, wherein said one or more advertising campaigns comprise individual advertising selections or combinations of advertising selections.

8. The method according to claim 2, wherein for each of said comparable real estate properties said sales data includes one or more of:

(a) a final sale price at which said comparable real estate property was sold;

(b) a date on which said comparable real estate property was sold; and

(c) a sale status for said comparable real estate property.

9. The method according to claim 2, wherein said performance data includes one or more of:

(a) sales success rate for each of said one or more advertising campaigns;

(b) frequency of advertising campaigns;

(c) average time on market prior to sale; and

(d) average vendor discount of initial listing price relative to final sale price.

10. The method according to claim 9, further including the step of ranking for each of said one or more advertising campaigns the most popular advertising format.

11. The method according to claim 2, wherein said predefined performance metrics include one or more of:

(a) highest sales success rate;

(b) least time on market prior to sale;

(c) most popular advertising campaign; and

(d) least vendor discount on initial listing price relative to final sale price;

12. The method according to claim 9, wherein step (g) includes a preliminary step of presenting to said user one or more marketing campaigns in relation to listing said real estate property for sale.

13. The method according to claim 2, further including the step of assigning a listing value to said real estate property based on the ranking of said one more advertising campaigns.

14. The method according to claim 2, further including the step of receiving from a vendor an authority to list said real estate property for sale, said authority to list including confirmation of a selected marketing campaign offer or a listing price for said real estate property.

15. A computer-implemented system of optimizing a marketing campaign of a saleable commodity, said system comprising one or more computers including:

at least one processor;

an interface between said processor and a data network;

a database for containing information relating to said saleable commodity; and

at least one storage medium operatively coupled to said processor, said storage medium containing program instructions for execution by said at least one processor, said program instructions causing said at least one processor to execute the steps of;

(a) receiving from a user one or more descriptors relating to said saleable commodity;

(b) identifying, based at least in part on said one or more descriptors, one or more comparable saleable commodities for which marketing has been conducted;

(c) retrieving from said database marketing data corresponding to said one or more comparable saleable commodities, said marketing data including advertising selections used in the sale or attempted sale of said one or more comparable saleable commodities;

(d) aggregating said one or more comparable saleable commodities into one or more advertising campaigns based at least in part upon said advertising selections;

(e) calculating for each of said one or more advertising campaigns performance data based at least in part upon said marketing data;

(f) ranking, based at least in part on said performance data, success of said one more advertising campaigns according to one or more predefined performance metrics;

(g) storing in said database information relating to said saleable commodity, said one or more comparable saleable commodities, or said rank of said one or more advertising campaigns; and

(h) 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.

16. The computer-implemented system according to claim 15, wherein said saleable commodity is a real estate property and said one or more comparable saleable commodities are comparable real estate properties.

17. The computer-implemented system according to claim 16, wherein said program instructions further cause the at least one processor, in step (c) to retrieve said marketing data corresponding to said one or more comparable real estate properties via said data network.

18. The computer-implemented system according to claim 16, wherein said program instructions further cause the at least one processor, in step (f) to enable said user to select the predefined performance metrics that will be used to rank the success of said one or more advertising campaigns.

19. The computer-implemented system according to claim 16, wherein said program instructions further cause the at least one processor, in step (h) to present to said user in a graphical format, one or more of:

(a) details of at least the top ranked advertising campaign for each of said performance metrics identified in step (f); and

(b) possible marketing campaigns together with a selection of advertising selections for each of said marketing campaigns.

20. A tangible computer-readable medium having computer-executable instructions stored thereon for performing a method of optimizing a marketing campaign of a saleable commodity, said method comprising:

(a) receiving from a user one or more descriptors relating to said saleable commodity;

(b) identifying, based at least in part on said one or more descriptors, one or more comparable saleable commodities for which marketing has been conducted;

(c) retrieving marketing data corresponding to said one or more comparable saleable commodities, said marketing data including advertising selections used in the sale or attempted sale of said one or more comparable saleable commodities;

(d) aggregating said one or more comparable saleable commodities into one or more advertising campaigns based at least in part upon said advertising selections;

(e) calculating for each of said one or more advertising campaigns performance data based at least in part upon said marketing data;

(f) ranking, based at least in part on said performance data, success of said one more advertising campaigns according to one or more predefined performance metrics; and

(g) assigning a marketing campaign to said saleable commodity based at least in part on the ranking of said one more advertising campaigns, said marketing campaign including a selection of said advertising selections.

21. A computer-implemented method of optimizing a marketing campaign for the sale of a residential property, said method comprising:

(a) receiving one or more descriptors relating to the residential property;

(b) identifying, based at least in part on said one or more descriptors, at least one comparable residential property for which marketing to sell said at least one comparable residential property has been conducted;

(c) retrieving historical marketing data and sales data corresponding to each comparable residential property, said marketing data including advertising selections used in the sale or attempted sale of said at least one comparable residential property; and

(d) identifying, using said marketing data and sales data, the most effective advertising campaign for said residential property.