Leveraged Usage of Information Regarding Real Estate Offerings

• US 20110066561A1
• Filed: 07/28/2010
• Published: 03/17/2011
• Est. Priority Date: 07/28/2009
• Status: Abandoned Application

• Current Assignee: Craig Justin Sparling, Paul E. Lazarre, Scott J. Hammack
• Original Assignee: Craig Justin Sparling, Paul E. Lazarre, Scott J. Hammack
• Inventors: Lazarre, Paul E., Hammack, Scott J., Sparling, Craig Justin
• Application Number:
  US12/845,490
• Publication Number:
  US 20110066561A1
• Time in Patent Office: Days
• US Class Current: 705/313
• CPC Class Codes: G06Q 30/00 Commerce
• CPC Class Codes: G06Q 30/0202 Market predictions or forecasting for commercial activities
• CPC Class Codes: G06Q 50/16 Real estate

Abstract

A control circuit gathers information regarding a plurality of independent variables for a given real estate offering. The control circuit then uses this information in conjunction with a computer-calculated model to forecast one or more of real estate buyer demand (forward looking), real estate pricing (current market), and real estate marketing effectiveness (forward looking). By one approach this can comprise applying such information in a regression analysis. By one approach, some or all of the aforementioned information can reflect interactions between at least one prospective real estate purchaser on the one hand and a web-based presentation that offers the given real estate offering for sale on the other hand.

Claims

1. A method comprising:

at a control circuit;

gathering information regarding a plurality of independent variables for a given real estate offering;

using the information in conjunction with a computer-calculated model to forecast at least one of;

real estate supply;

real estate buyer demand;

real estate pricing;

real estate marketing effectiveness.

2. The method of claim 1 wherein gathering information comprises receiving at least some of the information from a real estate offering server.

3. The method of claim 1 wherein at least some of the information from the real estate offering server represents interactions between at least one prospective real estate purchaser and a web-based presentation offering the given real estate offering for sale.

4. The method of claim 1 wherein using the information comprises using at least some of the information in a regression analysis.

5. The method of claim 4 wherein using at least some of the information in a regression analysis comprises using the regression analysis to calculate a corresponding demand score for the given real estate offering.

6. The method of claim 1 wherein using the information in conjunction with a computer-calculated model to forecast real estate marketing effectiveness comprises calculating an expected number of showings for the given real estate offering.

7. The method of claim 6 wherein the showings comprise both:

on-line showings that at least meet at least one predefined interaction criterion; and

in-person showings.

8. The method of claim 6 wherein calculating an expected number of showings for the given real estate offering comprises calculating the expected number of showings using the equation: