Consolidating web visitor behavior statistics for sales prospect qualification

• US 7,698,420 B2
• Filed: 11/03/2006
• Issued: 04/13/2010
• Est. Priority Date: 11/03/2005
• Status: Active Grant

• Current Assignee: MessageOne, Inc. (Dell Technologies Inc.)
• Original Assignee: Lyris Technologies Incorporated (ESW Capital, LLC)
• Inventors: Stebbins, Michael
• Primary Examiner(s): Chan; Wing F
• Assistant Examiner(s): Zong; Ruolei
• Application Number:
  US11/592,834
• Publication Number:
  US 20070100996A1
• Time in Patent Office: 1,257 Days
• Field of Search: 709/224, 709/223, 709/227
• US Class Current: 709/224
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

A web data analysis system, computer software product, and method of operation thereof, that uses Internet based data sources, and which operates in an automated manner to collect weighted visitor behavior statistics, and consolidate collected data into a single qualification score to accompany and supplement the entry of web site visitor information for printing, distribution or entry into a sales, prospect or contact management system.

Claims

1. A method for collecting information regarding a website, wherein the website is provided by a server connected to a communication network, and the server includes a processor connected to a memory, the method comprising:

assigning and storing, by the server, in a table of web page weights within the memory a weighted score for each of a plurality of web pages on a web site;

collecting, by the server, and recording in a web page log file within the memory, a list of pages included in the plurality of web pages, visited by a web site visitor;

determining, by an analytical script in the memory, an amount of time the web site visitor spends on each page visited in the plurality of web pages;

calculating a rating number based on the weighted score assigned to and the amount of time spent on each web page visited;

associating the rating number for the web site visitor with contact information collected about the web site visitor;

wherein the calculating comprises;

multiplying the amount of time spent on each page by the weighted score assigned to the page to form a product value for each page;

summing the product value for each page visited to determine the rating number.

2. The method of claim 1 further comprising:

outputting the information collected and rating number for the web site visitor.

3. A computer readable program encoded in one or more computer-readable storage media, the computer readable program code configured to instruct a computer unit to perform the following steps:

assigning a weighted score to each of a plurality of web pages on a web site;

collecting a list of pages, included in the plurality of web pages, visited by a web site visitor;

determining an amount of time the web site visitor spends on each page visited in the plurality of web pages;

calculating a rating number based on the weighted score assigned to and the amount of time spent on each web page visited;

associating the rating number for the web site visitor with contact information collected about the web site visitor;

wherein the calculating comprises;

multiplying the amount of time spent on each page by the weighted score assigned to the page to form a product value for each page;

summing the product value for each page visited to determine the rating number.

4. The computer readable program code of claim 3 further configured to:

output the information collected and rating number for the web site visitor.

5. A web server comprising:

a processor connected to a memory containing at least one analytical script stored therein;

wherein the analytical script is configured to instruct the processor to assign a weighted score to each of a plurality of web pages on a web site;

collect a list of pages, included in the plurality of web pages, visited by a web site visitor;

determine an amount of time the web site visitor spends on each page visited in the plurality of web pages;

calculate a rating number based on the weighted score assigned to and the amount of time spent on each web page visited;

associate the rating number for the web site visitor with contact information collected about the web site visitor;

wherein the calculating comprises;

multiplying the amount of time spent on each page by the weighted score assigned to the page to form a product value for each page;

summing the product value for each page visited to determine the rating number.

6. The web server of claim 5, wherein the analytical script is further configured to instruct the processor to:

output the information collected and rating number for the web site visitor.