US 12,243,075 B1
System and method for optimizing online marketing based upon relative advertisement placement
Yugang Hu, Salt Lake City, UT (US); Seth Moore, Lehi, UT (US); JP Knab, Riverton, UT (US); and Amit Goyal, South Jordan, UT (US)
Assigned to Overstock.com, Inc., Salt Lake City, UT (US)
Filed by Overstock.com, Inc., Midvale, UT (US)
Filed on May 26, 2023, as Appl. No. 18/202,844.
Application 18/202,844 is a continuation of application No. 17/129,492, filed on Dec. 21, 2020, granted, now 11,694,228.
Application 17/129,492 is a continuation of application No. 14/099,795, filed on Dec. 6, 2013, granted, now 10,872,350, issued on Dec. 22, 2020.
This patent is subject to a terminal disclaimer.
Int. Cl. G06Q 30/02 (2023.01); G06Q 30/0251 (2023.01)
CPC G06Q 30/0256 (2013.01) 20 Claims
OG exemplary drawing
 
1. A method for determining the online exposure of a target webpage in search results, said method comprising:
causing a content optimization server to receive source code from each of a plurality of proxy computers located throughout a geographic region through an online server, each defining a search results page from one of the plurality of proxy computers located throughout the geographic region, wherein the content optimization server comprises at least a processor;
processing the source code from each of the plurality of proxy computers with the processor of the content optimization server to identify target source code in the source code for each of the plurality of proxy computers, wherein the content optimization server identifies blocks of target source code by matching text in the source code to predetermined code in the server;
causing the content optimization server to parse one or more blocks of source code, each containing the target source code, wherein the parsed target source code includes at least some of the source code that defines target content displayed on the target webpage and used to identify the target webpage on the search results page;
causing the processor of the content optimization server to determine a relative metric for each parsed block of target source code from each of the plurality of proxy computers by causing the processor of the content optimization server to determine the location of target content on the search results page by determining the distance of the target content from a predetermined location on the search results page;
determining an overall relative metric as a measure of the online exposure of the target webpage in search results with the processor of the content optimization server by averaging the relative metric from each of the plurality of proxy computers;
using the processor of the content optimization server to dynamically update the overall relative metric according to a selected schedule; and
storing the relative metric in a database.