E-commerce referral tracking method and system

• US 20020069116A1
• Filed: 12/01/2000
• Published: 06/06/2002
• Est. Priority Date: 12/01/2000
• Status: Abandoned Application

• Current Assignee: Qbiquity Corporation
• Original Assignee: Qbiquity Corporation
• Inventors: Ohashi, Zentaro, Bergel, Shanti, Raskin, Andrew
• Application Number:
  US09/728,433
• Publication Number:
  US 20020069116A1
• Time in Patent Office: Days
• US Class Current: 705/26
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0601 Electronic shopping [e-shopping]

Abstract

System and method for interacting with customer end user computers and merchant end user computers so that merchant end user information and merchant end user recommendations are received from a first customer end user computer and forwarded, with an added hypertext link, to a second customer end user computer. The system and method store customer end user and merchant information end user information, and customer end user—merchant end user interactions, for example for customer loyalty premiums.

Claims

1. A method of tracking recommendations over a network of web sites by a first user at a first browser to a second user at a second browser, both of said users being on the network, said method comprising the steps of:

a) receiving at a tracking server a recommendation of a web site from the first user, recommendation data of the recommended web site and data of the user at the second browser for whom the recommendation is made;

b) storing at the tracking server data about the first user at the first browser, the second user at the second browser, and the recommended web site; and

c) providing to the second user at the second browser an applet having a link to the recommended web site.

2. The method of claim 1 comprising identifying the first user at the first browser to the second user at the second browser as the recommender of the second user at the second browser to the web site.

3. The method of claim 2 comprising identifying the first user at the first browser to the recommended web site as the recommender of the second user at the second browser to the web site.

4. The method of claim 2 comprising identifying the first user at the first browser as the recommender of the second user at the second browser to the tracking server.

5. The method of claim 2 wherein the applet provided to the second user at the second browser with a link to the recommended web site identifies the first user at the first browser as the recommender of the second user at the second browser to the web site.

6. The method of claim 1 comprising identifying the interaction of the second user at the second browser with respect to the recommendation of the recommended web site.

8. The method of claim 1 comprising identifying the first user at the first browser as the recommender of the second user at the second browser to one or both of the recommended web site and the tracking server;

identifying the interaction of the second user at the second browser with respect to the recommendation of the recommended web site; and

storing the identities of the first user at the first browser, the second user at the second browser, and the interaction of the second user at the second browser with respect to the recommendation of the recommended web site.

7. The method of claim 7 wherein the interaction of the second user at the second browser with respect to the recommendation of the recommended web site is chosen from the group consisting of:

a click through and an affirmative act.

9. The method of claim 9 comprising storing the identities of the first user at the first browser, the second user at the second browser, the recommended web site, and the interaction taken by the second user at the second web site as a string.

11. The method of claim 11 comprising storing the string as a linked list.

10. The method of claim 10 wherein the string is of the form

A=B+*C+D(E+!F(G+H))

where A represents the first user at the first browser, and B, C, D, E, and F represent second users at second browsers, where A sent referrals to B, C, and D as second users at second browsers, and D, thereafter as a first user at a first browser sent referrals to E, and F as second users at second browsers, and F, thereafter as a first user at a first browser, sent referrals to G and H as second users at second browsers, and wherein “

*C”

indicates that C as a second user at a second browser clicked through on the referral, and “

!F”

indicates that F performed an affirmative interaction with respect to the recommendation of the recommended web site.

12. The method of claim 11 comprising storing the string as a set of elements and relations in a relational database.

13. The method of claim 10 comprising assigning interaction values to interactions taken by second users referred to a web site by a first user, and assigning referral values to the first user based upon the interactions taken by the second users referred to web sites by the first user.

A1. A method of tracking recommendations of e-commerce merchants by one customer to another customer, said customers having identifying text data (cookies) said method comprising the steps of:

a) receiving at a tracking server a recommendation of a merchant web site from a first customer to a second customer, said recommendation including recommendation data of the recommended merchant web site and identification data of the second customer for whom the recommendation is made;

b) storing at the tracking server identification data data of the first customer, the second customer, and the recommended merchant web site; and

c) providing to the second customer an applet having a link to the recommended merchant web site, said applet further identifying the first customer as the recommender of the second customer to the e-commerce merchant web site, and

d) identifying the interaction of the second customer with respect to the recommendation to the recommended e-commerce merchant web site,

e) storing the identities of the first user at the first browser, the second user at the second browser, the recommended web site, and the interaction taken by the second user at the second web site as a string of the form

A=B+*C+D(E+!F(G+H))

where A represents the first customer, and B, C, D, E, and F represent second customers, where A sent referrals to B, C, and D as second customers, and D, thereafter as a first customer sent referrals to E, and F as second customers, and F, thereafter as a first customer, sent referrals to G and H as second customers, and wherein “

*C”

indicates that C as a second customer clicked through on the referral, and “

!F”

indicates that F performed an affirmative interaction with respect to the recommendation of the recommended web site,

f) assigning interaction values to interactions taken by second customers referred to a web site by a first customer, and assigning referral values to the first customerbased upon the interactions taken by the second customers referred to web sites by the first customer.

15. The method of claim 14 comprising identifying the first customer to the second customer as the recommender of the second customer to the merchant web site.

16. The method of claim 14 comprising identifying the first customer to the merchant as the recommender of the second customer.

17. The method of claim 14 wherein the interaction of the second user at the second browser with respect to the recommendation of the recommended web site is chosen from the group consisting of:

a click through and an affirmative act.

18. The method of claim 14 comprising storing the string as a linked list.

19. The method of claim 14 comprising storing the string as a set of elements and relations in a relational database.

20. A system controlled and configured for interacting with customer end user computers and merchant end user computers whereby merchant end user information and merchant end user recommendations are received from a first customer end user computer and forwarded, with an added hypertext link, to a second customer end user computer, and to store customer end user and merchant information end user information, and customer end user—

merchant end user interactions, said system comprising;

a) a host server adapted to

i) receive recommendations from the first customer end user browser,

ii) transmit a hypertext link implementing the recommendations to the second customer end user browser and to the recommended merchant end user, and

iii) receive customer end user—

merchant end user interaction data from the second end user;

b) a database server including;

i) one or more business object databases including hypertext links for sending customer end user data and receiving interaction data, an e-mail database, an e-mail address list table, a user table, and

ii) a tracking database for receiving and recording first customer end user recommendations and second customer end-user interactions, and providing data for customer end user reports.

21. The system of claim 20 wherein the system is controlled and configured to deliver hypertext links to the second customer end user, which hypertext links are recommendation links that mark the second customer end user as having been recommended to the merchant end user using a cookie.

22. The method of claim 21 wherein the system is controlled and configured to redirect the second customer end user to the merchant end user using the cookie.

23. The system of claim 21 wherein the system is controlled and configured to receive indicia of second customer end user interactions with the merchant end user.

24. The system of claim 20 wherein the tracking database is configured and controlled to store the identities of the first customer end user, the second customer end user, the merchant end user, and the interaction taken by the second customer end user with the merchant end user as a string.

25. The system of claim 24 wherein the string is of the form

A=B+*C+D(E+!F(G+H))

where A represents the first customer end user, and B, C, D, E, and F represent second customer end users, where A sends recommendations to B, C, and D as second customer end users, and D, thereafter as a first customer end user sends recommendations to E, and F as second customer end users, and F, thereafter as a first customer end user, sends recommendations to G and H as second customer end users, and wherein “

*C”

indicates that C as a second customer end user clicked through on the recommendation, and “

!F”

indicates that F performed an affirmative interaction with respect to the recommendation of the recommended web site.

26. The system of claim 25 wherein the system is controlled and configured to store the string as a linked list.

27. The system of claim 25 wherein the system is controlled and configured to store the string as a set of elements and relations in a relational database.

28. The system of claim 20 wherein the system is further controlled and configured to assign interaction values to interactions taken by second customers referred to a web site by a first customer, to assign referral values to the first customer based upon the interactions taken by the second customer referred to web sites by the first customer, and to store values assigned to the first customer.