DAS predictive modeling and reporting function

• US 8,271,332 B2
• Filed: 10/12/2011
• Issued: 09/18/2012
• Est. Priority Date: 06/18/2002
• Status: Active Grant

• Current Assignee: Valentine Communications LLC
• Original Assignee: Ewinwin Incorporated
• Inventors: Mesaros, Gregory J.
• Primary Examiner(s): OUELLETTE, JONATHAN P
• Application Number:
  US13/272,144
• Publication Number:
  US 20120036000A1
• Time in Patent Office: 342 Days
• Field of Search: None
• US Class Current: 705/14.66
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0202 Market predictions or forecasting for commercial activities
• CPC Class Codes: G06Q 30/0224 based on user history
• CPC Class Codes: G06Q 30/0254 based on statistics
• CPC Class Codes: G06Q 30/0256 User search
• CPC Class Codes: G06Q 30/0258 Registration
• CPC Class Codes: G06Q 30/0267 Wireless devices
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06Q 30/0276 Advertisement creation

Abstract

A system and method facilitating the management of current and prospective customers and customer information is provided. The invention includes an aggregation system adapted to provide management and generation of current and prospective customers. The invention further provides management of current and prospective customer information. Additionally, the aggregation system provides for generating advertisements based at least in part upon market information. Finally, the present invention also includes a printstream aggregation method facilitating the printing of print orders.

Claims

1. A non-transitory computer readable storage medium having embodied thereon instructions executable by a processor to:

present an offer for a product or service at a discounted price based on a certain volume of orders received from a plurality of buyers within a set period of time for the product or service;

generate a list of current and prospective customers;

create a customer profile for one or more current or prospective customers included in the list;

determine a probability of at least one customer or prospective customer to purchase a particular offer based at least in part on information in a customer profile; and

present an advertisement based upon a probability of a recipient to purchase.

2. The non-transitory computer readable storage medium of claim 1, wherein the volume is a minimum quantity of orders that must be received for the offer to become valid.

3. The non-transitory computer readable storage medium of claim 1, wherein the list is created from a buyer who has ordered, a prospective buyer who has expressed an interest but has not yet made an order, or a prospective buyer that has not expressed an interest.

4. The non-transitory computer readable storage medium of claim 1, wherein the customer profile includes registration information, information concerning a past order, a price paid for a past order, a time of a past order, or a product viewed but not ordered.

5. The non-transitory computer readable storage medium of claim 1, further comprising instructions executable to:

identify duplicate customers or prospective customers from the list; and

remove identified duplicate or prospective customers from the list.

6. The non-transitory computer readable storage medium of claim 1, wherein the advertisement is based at least in part on an inferred interest of a buyer or a prospective buyer.

7. The non-transitory computer readable storage medium of claim 1, wherein the advertisement is based at least in part on an interest associated with a buyer or a prospective buyer.

8. The non-transitory computer readable storage medium of claim 1, further comprising instructions executable to:

use the profile of a particular buyer to find similar buyers; and

present an advertisement to the found similar buyers.

9. The non-transitory computer readable storage medium of claim 1, wherein the probability is determined in real-time.

10. A method of electronically conducting business, comprising:

employing at least one processor to execute instructions stored in a non-transitory computer-readable memory to generate a set of current and prospective customers;

employing at least one processor to execute instructions stored in a non-transitory computer-readable memory to manage at least one profile for one or more of the set of current or prospective customers;

employing at least one processor to execute instructions stored in a non-transitory computer-readable memory to present an offer to one or more of the current or prospective customers based at least in part on the information in the at least one profile;

employing at least one processor to execute instructions stored in a non-transitory computer-readable memory to present an advertisement for a product or service based upon a likelihood of a recipient to purchase; and

provide an offer for sale to a current or prospective customer at a discounted price in an electronic forum, wherein terms to receive a price require a certain number of orders to be accepted within a set period of time.

11. The method of claim 10, wherein the price is based on a minimum quantity of orders that must be received for a particular price to be valid.

12. The method of claim 10, further comprising:

identifying duplicate customers or prospective customers from the list; and

removing identified duplicate or prospective customers from the list.

13. The method of claim 10, wherein the set of current or prospective customers is created from at least one of a buyer who has ordered, a prospective buyer who has expressed an interest but has not yet purchased an offer, or a prospective buyer that has not yet expressed an interest.

14. The method of claim 10, wherein the customer profile includes registration information, information concerning a past order, information concerning a price paid for a past order, a time of order for the past order, or a product viewed but not ordered.

15. A non-transitory computer readable storage medium having embodied thereon instructions executable by a processor to:

present an offer for a product or service at a discounted price based on a certain volume of orders received from a plurality of buyers within a set period of time;

manage a list of current and prospective customers;

create a customer profile for one or more of the current or prospective customers included in the list;

determine a probability that at least one customer or prospective customer in the list will purchase a particular product or service offer based in part upon information in the customer profile; and

present an advertisement based upon the probability to purchase.

16. The non-transitory computer readable storage medium of claim 15, further comprising instructions that are executable to:

identify duplicate customers or prospective customers; and

remove duplicate customers or prospective customers.

17. The non-transitory computer readable storage medium of claim 15, wherein the advertisement is based at least in part on an inferred interest of a buyer or a prospective buyer.

18. The non-transitory computer readable storage medium of claim 15, wherein the customer profile includes registration information, information concerning a past order, a price paid for a past order, a time of a past order, or a product viewed but not ordered.

19. The non-transitory computer readable storage medium of claim 15, wherein the advertisement is based at least in part on a known interest associated with a buyer or a prospective buyer.

20. A non-transitory computer readable storage medium having embodied thereon instructions executable by a processor to:

provide an offer for an item at a discounted price based on a minimum volume of orders received from a plurality of buyers within a set period of time;

store a list of current and prospective customers;

create a customer profile for one or more of the current or prospective customers included in the list;

determine a probability that at least one customer or prospective customer in the list will purchase a particular item offer based in part upon information in the customer profile; and

present an advertisement based upon the probability to purchase.

21. The non-transitory computer readable storage medium of claim 20, wherein the advertisement is based at least in part on an inferred interest of a buyer or a prospective buyer.

22. The non-transitory computer readable storage medium of claim 20, wherein the customer profile includes registration information, information concerning a past order, a price paid for a past order, a time of a past order, or an item viewed but not ordered.