IP Library › Granted Patent US 9,311,662
Granted Patent B2
US 9,311,662 · App. 14/703,251 · Granted Apr 12, 2016

Computer-implemented method and system for managing keyword bidding prices

Inventor: Darrin Skinner (Santa Clara, CA)
Assignee: eBay Inc.
G06Q30/0275G06Q30/0273
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Quick Facts
Patent No.
US 9,311,662
App. No.
14/703,251
Granted
Apr 12, 2016
Kind
B2
Abstract

A computer-implemented method and system for managing keyword bidding prices are disclosed. An example method comprises: determining revenue parameters associated with a keyword; obtaining automatic bid controls associated with the keyword and the revenue parameters; automatically generating a bid value for the keyword based on the bid controls and the revenue parameters, the automatic bid controls including a gap position target value, the gap position target value representing a position in a gap between a first next higher bid and a second next higher bid, the gap position target value corresponding to a specific monetary value between the first next higher bid and the second next higher bid; and transmitting the bid value to an online service via a data network communication.

Claims (34)

1. A computer-implemented method comprising:

determining, by at least one processor, revenue parameters associated with a keyword;

obtaining, by the at least one processor, automatic bid controls associated with the keyword and the revenue parameters;

automatically generating, by at least one processor, a bid value for the keyword based on the bid controls and the revenue parameters, the automatic bid controls including a gap position target value, the gap position target value representing a position in a gap between a first next higher bid and a second next higher bid, the gap position target value corresponding to a specific monetary value between the first next higher bid and the second next higher bid; and

transmitting the bid value to an online service via a data network communication.

2. The computer-implemented method of claim 1 , wherein the online service comprises a search engine.

3. The computer-implemented method of claim 1 , wherein the automatic bid controls comprise a maximum cost per click value that can be automatically bid for the keyword.

4. The computer-implemented method of claim 1 , wherein the automatic bid controls comprise a bid increment factor.

5. The computer-implemented method of claim 1 , wherein the automatic bid controls comprise a bid increment velocity factor.

6. The computer-implemented method of claim 1 , wherein the automatic bid controls comprise a scaling factor for the revenue parameters.

7. The computer-implemented method of claim 6 , further comprising applying the scaling factor to the revenue parameters to produce a scaled revenue parameter.

8. A system comprising:

at least one processor; and

a non-transitory computer-readable medium storing executable instructions that, when executed, cause the at least one processor to perform operations comprising:

determining revenue parameters associated with a keyword;

obtaining automatic bid controls associated with the keyword and the revenue parameters;

automatically generating a bid value for the keyword based on the bid controls and the revenue parameters, the automatic bid controls including a gap position target value, the gap position target value representing a position in a gap between a first next higher bid and a second next higher bid, the gap position target value corresponding to a specific monetary value between the first next higher bid and the second next higher bid; and

transmitting the bid value to an online service via a data network communication.

9. The system of claim 8 , wherein the online service comprises a search engine.

10. The system of claim 8 , wherein the automatic bid controls comprise a maximum cost per click value that can be automatically bid for the keyword.

11. The system of claim 8 , wherein the automatic bid controls comprise a bid increment factor.

12. The system of claim 8 , wherein the automatic bid controls comprise a bid increment velocity factor.

13. The system of claim 8 , wherein the automatic bid controls comprise a scaling factor for the revenue parameters.

14. The system of claim 13 , wherein the operations further comprise applying the scaling factor to the revenue parameters to produce a scaled revenue parameter.

15. A non-transitory computer-readable medium storing executable instructions that, when executed, cause at least one processor to perform operations comprising:

determining revenue parameters associated with a keyword;

obtaining automatic bid controls associated with the keyword and the revenue parameters;

automatically generating a bid value for the keyword based on the bid controls and the revenue parameters, the automatic bid controls including a gap position target value, the gap position target value representing a position in a gap between a first next higher bid and a second next higher bid, the gap position target value corresponding to a specific monetary value between the first next higher bid and the second next higher bid; and

transmitting the bid value to an online service via a data network communication.

16. The non-transitory computer-readable medium of claim 15 , wherein the online service comprises a search engine.

17. The non-transitory computer-readable medium of claim 15 , wherein the automatic bid controls comprise a maximum cost per click value that can be automatically bid for the keyword.

18. The non-transitory computer-readable medium of claim 15 , wherein the automatic bid controls comprise a bid increment factor.

19. The non-transitory computer-readable medium of claim 15 , wherein the automatic bid controls comprise a bid increment velocity factor.

20. The non-transitory computer-readable medium of claim 15 , wherein the automatic bid controls comprise a scaling factor for the revenue parameters.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 4, 2015
From: SKINNER, DARRIN
To: EBAY INC.
Reel/Frame 035558/0129 →
Continuity (5)
Continuation 13560744 · Jul 27, 2012
Continuation 12830193 · Jul 2, 2010
Continuation 11517886 · Sep 8, 2006
Provisional Application 60743060 · Dec 21, 2005
Related Publication 20150235278A1 · Aug 20, 2015