System and Method to Transform Website User Information into Sales Prospects, Sales Leads and Sales Intelligence

• US 20100131339A1
• Filed: 11/20/2009
• Published: 05/27/2010
• Est. Priority Date: 11/22/2008
• Status: Abandoned Application

• Current Assignee: Rakesh Singh
• Original Assignee: Rakesh Singh
• Inventors: Singh, Rakesh
• Application Number:
  US12/623,006
• Publication Number:
  US 20100131339A1
• Time in Patent Office: Days
• US Class Current: 705/10
• CPC Class Codes: G06Q 30/00 Commerce
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data

Abstract

A method collects data about each website user from multiple sources, transforms this data into information suitable for sales leads, analyzes the raw data and the transformed information for multiple related website users, and packages all such relevant information across multiple related website users into sales lead information capsules that can then be distributed individually to third parties.

Claims

1. A computer implemented method of collecting information about each website user from a plurality of sources, then transforming the information collected into a plurality of sales leads each of which would comprise of:

name and contact information of the user (if identified without ambiguity) or names and contact information of possible users (if there is ambiguity); and

name of the company; and

location of the user; and

user intent e.g., job seeker or sales lead looking for a specific product or a product family or a solution or a solution family etc.; and

text and non-text elements which were of interest to the user (combination of hypertext, anchor text in hyperlinks, page title, meta-tags, search terms used, text and non-text elements on the referring page, text and non-text elements either clicked on or hovered on by the user etc.); and

pages visited during the visit and all visible text and non-text elements on all the pages visited along with text and non-text elements extracted from mouse movement and mouse hovering information on all the pages visited; and

campaign information—

if the user'"'"'s website visit was a result of a marketing or sales campaign such as an email or a webinar or a search engine campaign or a tradeshow etc., the information related to the campaign; and

all the above information from past visits by this user; and

all the above information from past visits by all users from this company; and

all the above information from past visits by related companies; and

all the above information from past users who may share any of the above elements in common with this user; and

cluster of above information based on company name, keywords, and phrases.

2. The method of claim 1, wherein collected information about each website user comprises of:

user'"'"'s browsing information; and

user'"'"'s geographic location; and

user'"'"'s contact details; and

user'"'"'s company details; and

user'"'"'s domain context.

3. The method of claim 2, wherein user'"'"'s browsing information comprises of:

date and time of visit; and

user'"'"'s click pattern and mouse movement data; and

URL (URL structure, URL path, query strings) of the referring page; and

title, meta-tags, text, hyperlinks, anchor text, hypertext, and non-text elements on the referring page; and

hypertext or hyperlinks or anchor text clicked on; and

hypertext or hyperlinks or anchor text hovered on; and

text (other than hypertext) clicked or hovered on; and

time spent hovering over a hyperlink/hypertext/anchor text, over other text, and over non-text elements; and

text (other than hypertext) not clicked or not hovered on; and

non text elements hovered on, clicked on, not hovered on, and not clicked on; and

title and meta-tags of pages visited by the user; and

similar (including the above information) information from previous visits to this website from the same user; and

similar (including the above information) information from previous visits to this website from users of the same company; and

similar (including the above information) information from previous visits to other websites from the same user; and

s similar (including the above information) information from previous visits to other websites from users of the same company; and

number of pages visited, time spent, number of repeat visits, number of unique users from the same company; and

information from other sources that may have affected the user'"'"'s visit to the website that may be an event or news information that may have been read by the user.

4. The method of claim 2, wherein contact details comprise of:

name, email addresses, phone numbers, and other contact details of the user if the user can be identified without ambiguity.

5. The method of claim 2, wherein contact details comprise of names, email addresses, phone numbers, and other contact details of possible users if there is ambiguity about the identity of the user—

such information will be obtained from other databases that list people in various companies along with their names, email addresses, location information, and phone numbers.

6. The method of claim 5, wherein using information from this visit, past visits, website specific information (such as general profile of users to this website) to narrow down a list of possible users.

7. The method of claim 2, wherein domain context comprises of the following information from a plurality of third party sources:

URL of the page; and

keywords and phrases on the web page; and

anchor texts on the web page; and

update date for the web page.

8. The method of claim 7, wherein third party sources comprise of:

websites covering press releases, news and events related to keywords (and phrases) on the pages visited by user; and

websites covering press releases, news and events related to anchor text clicked by user; and

websites covering press releases, news and events related to anchor text on which user did mouse hover; and

websites covering press releases, news and events related to user'"'"'s company; and

websites covering press releases, news and events related to user'"'"'s location; and

any website containing above keywords or phrases, user company name, user location.

9. A computer implemented method to analyze multiple related sales leads to further transform and package a plurality of sales leads into a plurality of related sales lead information capsules that can be independently distributed to third parties.

10. Seller user interfaces to search, buy and tag leads.

11. The method of claim 10, wherein seller can search leads based on date and time of user'"'"'s visit.

12. The method of claim 10, wherein seller can search leads based on keywords, user'"'"'s location, user'"'"'s company location, and website.

13. The method of claim 10, wherein seller can save search criteria.

14. The method of claim 13, wherein seller can configure his/her account to deliver a lead to his/her email, phone, CRM applications and social networking accounts etc. in real-time as soon as a lead is generated matching seller'"'"'s search criteria.

15. The method of claim 14, wherein seller can configure his/her account to deliver the leads periodically (daily, weekly etc.).