System and method for optimizing online marketing based upon relative advertisement placement

A system for determining the online exposure of a webpage in search results, said system comprising:

• a processor;
• a memory coupled to the processor;
• and
• computer-readable instructions stored in the memory that, when executed by the processor, cause the processor to:
• (i) receive source code defining the webpage from a web server from each of a plurality of proxy computers located throughout a geographic region through an online server, (ii) identify a target source code block in the source code for each of the plurality of proxy computers, by matching text in the source code to predetermined code stored in the server, the target source code block defining, at least partially, target content on the webpage, (iii) identify HTML tags specifying where target content starts and ends on a search results webpage for each of the plurality of proxy computers (iv) determine the area of the target content defined by the target code in pixels by multiplying the dimensions defined by the HTML tags for each of the plurality of proxy computers, (v) determine the area of the webpage in pixels for each of the plurality of proxy computers by multiplying its dimensions, (vi) determine a relative metric of the target content for each of the plurality of proxy computers by dividing the area of the target content by the area of the webpage;
• (vii) average the relative metric for each of the plurality of proxy computers located throughout a geographic region to determine an overall relative metric as a measure of the online exposure of a webpage in search results, (vi) store the overall relative metric in a database, and (vii) dynamically update the overall relative metric according to a selected schedule.

A method for analyzing a search results webpage, said method comprising;

• causing a content optimization server to receive source code from an online server defining the search results webpage from each of a plurality of proxy computers located throughout a geographic region, wherein the content optimization server comprises at least a processor;
• using the processor of the content optimization server to process the source code from each of the plurality of proxy computers located throughout a geographic region to identify target source code in the source code from each of the plurality of proxy computers located throughout the geographic region, wherein the content optimization server identifies blocks of target source code by matching text in the source code to predetermined code in the server, the target source code defining, at least partially, a search result on the search results webpage;
• 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 the search result on the search results webpage that defines target content displayed on the target webpage;
• processing the parsed target source code from each of the plurality of proxy computers located throughout a geographical region with the processor of the content optimization server, by causing the processor of the content optimization server to perform the following steps for each of the plurality of proxy computers:
• 1. identifying HTML tags specifying where target content starts and ends on a search results webpage
• 2. determining the area of the search result defined by the parsed block of target code in pixels by multiplying the dimensions defined by the HTML tags;
• 3. determining the area of the search results webpage in pixels by multiplying its dimensions
• 4. determining the relative size of the search result by dividing the area of the search results by the area of the webpage;
• determining an overall relative metric as a measure of the online exposure of a 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 determine an overall relative metric as a measure of the online exposure of a webpage in search results;
• using the processor of the content optimization server to dynamically update the relative metric according to a selected schedule;
• and
• storing the relative metric in a database.