METHOD, SYSTEM AND COMPONENTS FOR OBTAINING, EVALUATING AND/OR UTILIZING SELLER, BUYER AND TRANSACTION DATA
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.
1 . A method for performing systematic analysis of consumer behavior data to predict consumer demand via an on-line environment, the method comprising:
monitoring behavior of at least one consumer prior to, during and subsequent to at least one purchase transaction performed in the on-line environment to generate consumer behavior data; and
analyzing the generated consumer behavior data to determine efficacy of a plurality of parameters relating to one or more transaction related offerings.
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 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 one or more transaction related offerings in connection with the 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
col elating 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 9 , wherein the consumer behavior tracking mechanism is a shared object.
11 . The method of claim 9 , wherein the consumer behavior tracking mechanism is a cookie.
12 . The method of claim 9 , 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.
13 . The method of claim 1 , wherein the at least one transaction related offering is the underwriting of one party's obligations in a transaction.
14 - 24 . (canceled)