METHOD, SYSTEM AND COMPONENTS FOR OBTAINING, EVALUATING AND/OR UTILIZING SELLER, BUYER AND TRANSACTION DATA

• US 20090119160A1
• Filed: 11/03/2008
• Published: 05/07/2009
• Est. Priority Date: 11/02/2007
• Status: Active Grant

• Current Assignee: Simpler Postage, Inc.
• Original Assignee: buySAFE Incorporated
• Inventors: Grass, Jeffrey E., WODA, Steven L., Kodey, Robert T., Beveridge, Michael, Brown, Travis, Morel, Marc
• Granted Patent: US 8,744,917 B2
• Time in Patent Office: Days
• US Class Current: 705/10
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0207 Discounts or incentives, e.g. coupons or rebates
• CPC Class Codes: G06Q 30/0225 Avoiding frauds
• CPC Class Codes: G06Q 30/0253 During e-commerce, i.e. online transactions

Abstract

Methodologies, systems, components and software are provided that perform web analytics to measure visitor to consumer conversion continuously throughout surfing, through conversion and past completion of a purchase on-line. In accordance with at least one embodiment, such methodologies, systems, components and software may be utilized to determine efficacy of a plurality of parameters relating to one or more Transaction Related Offerings (TROs). In accordance with at least one embodiment of the invention, such methodologies, systems, components and software may be utilized to configure one or more Consumer Behavior Decision Models (CBDMs) and/or generate consumer behavior data.

Claims

1. A method for effectively providing a transaction related offering to at least one consumer via an on-line environment for the purpose of providing an incentive to at least one consumer to purchase one or more products or services via the on-line environment, the method comprising:

advertising availability of the transaction related offering to the at least one consumer prior to the consumer making a purchase via the on-line environment;

monitoring consumer behavior of the at least one consumer within and outside the on-line environment using a code embedded in a graphic associated with the transaction related offering to generate consumer behavior data; and

analyzing the consumer behavior data to determine efficacy of a plurality of parameters relating to the transaction related offering,

wherein the analysis of the consumer behavior data provides information indicating whether or to what extent the transaction related offering is an incentive to at least one consumer to purchase one or more products or services via the on-line environment.

2. The method of claim 1, wherein the monitoring consumer behavior is performed continuously from the at least one consumer'"'"'s first exposure to the on-line environment.

3. The method of claim 1, wherein the monitoring consumer behaviour is performed continuously past completion of at least one purchase transaction performed in the on-line environment.

4. The method of claim 1, wherein the consumer behavior data indicates details pertaining to a conversion of the at least one consumer to a customer in the on-line environment.

5. The method of claim 4, wherein the consumer behavior data indicates whether the at least one consumer accepted the transaction related offering in connection with at least one purchase transaction.

6. The method of claim 1, wherein the consumer behavior data indicates whether the at least one consumer accepted one or more transaction related offerings.

7. The method of claim 1, further comprising:

identifying consumer behavior data from at least two different sources to identify consumer behavior data that pertains to a same consumer; and

correlating the consumer behavior data pertaining to the same consumer.

8. The method of claim 7, further comprising deleting redundant data in the consumer behavior data pertaining to the same consumer.

9. The method of claim 7, wherein the at least two different sources include seller reported data and a consumer behavior tracking mechanism.

10. The method of claim 7, wherein the consumer behavior tracking mechanism is a shared object.

11. The method of claim 7, wherein the consumer behavior tracking mechanism is a cookie.

12. The method of claim 7, wherein the at least two different sources include code provided in the on-line environment provided in connection with the transaction related offering, the code being executed to monitor and record consumer behavior.

13. The method of claim 12, wherein the transaction related offering is the underwriting of one party'"'"'s obligations in a transaction.

14. A method for performing systematic analysis of consumer behavior data to configure or reconfigure one or more consumer behavior decision models, the method comprising:

monitoring behavior of a plurality of consumers prior to, during and subsequent to at least one purchase transaction for each consumer performed in an on-line environment to generate consumer behavior data;

analyzing the generated consumer behavior data to configure or reconfigure one or more consumer behavior decision models,

wherein the one or more consumer behavior decision models predict whether or to what extent at least one consumer is likely to purchase one or more products or services.

15. The method of claim 14, wherein the monitoring consumer behavior is performed continuously from consumers'"'"' first exposure to the on-line environment.

16. The method of claim 14, wherein the monitoring consumer behavior is performed continuously past completion of at least one purchase transaction performed in the on-line environment.

17. The method of claim 14, wherein the consumer behavior data indicates details pertaining to at least one conversion of a consumer, included in the plurality of consumers, to a customer in the on-line environment.

18. The method of claim 17, wherein the consumer behavior data indicates whether at least one consumer in the plurality of consumers accepted one or more transaction related offerings in connection with the at least one purchase transaction.

19. The method of claim 14, wherein the consumer behavior data indicates whether at least one consumer in the plurality of consumers accepted one or more transaction related offerings.

20. The method of claim 14, further comprising:

identifying consumer behavior data from at least two different sources to identify consumer behavior data that pertains to a same consumer included in the plurality of consumers; and

correlating the consumer behavior data pertaining to the same consumer.

21. The method of claim 20, further comprising deleting redundant data in the consumer behavior data pertaining to the same consumer.

22. The method of claim 20, wherein the at least two different sources include seller reported data and a consumer behavior tracking mechanism.

23. The method of claim 22, wherein the consumer behavior tracking mechanism is a shared object.

24. The method of claim 22, wherein the consumer behavior tracking mechanism is a cookie.

25. The method of claim 22, wherein the at least two different sources include code provided in the on-line environment provided in connection with at least one transaction related offering, the code being executed to monitor and record consumer behavior.

26. The method of claim 25, wherein the at least one transaction related offering is the underwriting of one party'"'"'s obligations in a transaction.