Bid management optimization
View Patent ↗A computing device receives, from a module that manages bids to bid engines, data relating to a bid rule, the data including at least two metrics concerning performance of the bid rule. Two of the metrics are selected for defining a goal for the bid rule, wherein a first one of the selected metrics is a primary metric and a second one of the metrics is a secondary metric, the primary metric being a value that is subject to an optimization, and the secondary metric being used to establish one or more constraints. The goal is defined by performing the optimization subject to the one or more constraints.
1. A method, comprising:
receiving, in a computing device, from a module that manages bids to bid engines, data relating to a bid rule, the data including at least two metrics concerning performance of the bid rule;
selecting two of the metrics for defining a goal for the bid rule, wherein a first one of the selected metrics is a primary metric and a second one of the metrics is a secondary metric, the primary metric being a value that is subject to an optimization, and the secondary metric being used to establish one or more constraints; and
defining the goal by performing the optimization subject to the one or more constraints.
2. The method of claim 1 , further comprising transmitting the bid rule to the module based at least in part on the goal.
3. The method of claim 1 , wherein the bid rule is defined at least in part according to a combination of a bid engine and a keyword phrase.
4. The method of claim 1 , wherein the bid rule is defined at least in part according to a time slice.
5. The method of claim 4 , wherein the time slice defines at least one bidding parameter, the at least one bidding parameter including at least one of enabled/suspended, minimum/maximum bid, minimum/maximum position, and bid increment/decrement.
6. The method of claim 1 , further comprising performing the optimization according to a series of time slices.
7. The method of claim 1 , further comprising obtaining the data according to each of a plurality of time slices.
8. The method of claim 1 , wherein the optimization is one of a maximization and a minimization.
9. The method of claim 1 , wherein the goal includes maximizing a conversion rate while constrained by a return on investment metric.
10. The method of claim 1 , wherein the goal includes maximizing traffic while constrained by a cost per acquisition metric.
11. The method of claim 1 , wherein the goal includes maximizing return on investment while constrained by a conversion rate metric.
12. The method of claim 1 , wherein the goal includes maximizing revenue while constrained by a return on investment metric.
13. A system, comprising:
a computing device configured to:
receive, from a module that manages bids to bid engines, data relating to a bid rule, the data including at least two metrics concerning performance of the bid rule;
select two of the metrics for defining a goal for the bid rule, wherein a first one of the selected metrics is a primary metric and a second one of the metrics is a secondary metric, the primary metric being a value that is subject to an optimization, and the secondary metric being used to establish one or more constraints; and
define the goal by performing the optimization subject to the one or more constraints.
14. The system of claim 13 , the computing device further configured to transmit the bid rule to the module based at least in part on the goal.
15. The system of claim 13 , wherein the bid rule is defined at least in part according to a combination of a bid engine and a keyword phrase.
16. The system of claim 13 , wherein the bid rule is defined at least in part according to a time slice.
17. The system of claim 16 , wherein the time slice defines at least one bidding parameter, the at least one bidding parameter including at least one of enabled/suspended, minimum/maximum bid, minimum/maximum position, and bid increment/decrement.
18. The system of claim 13 , the computing device further configured to perform the optimization according to a series of time slices.
19. The system of claim 13 , the computing device further configured to obtain the data according to each of a plurality of time slices.
20. The system of claim 13 , wherein the optimization is one of a maximization and a minimization.
21. A computer-readable medium tangibly embodying computer-executable instructions, the instructions including instructions for:
receiving, from a module that manages bids to bid engines, data relating to a bid rule, the data including at least two metrics concerning performance of the bid rule;
selecting two of the metrics for defining a goal for the bid rule, wherein a first one of the selected metrics is a primary metric and a second one of the metrics is a secondary metric, the primary metric being a value that is subject to an optimization, and the secondary metric being used to establish one or more constraints; and
defining the goal by performing the optimization subject to the one or more constraints.
22. The instructions of claim 21 , further comprising instructions for transmitting the bid rule to the module based at least in part on the goal.
23. The instructions of claim 21 , wherein the bid rule is defined at least in part according to a combination of a bid engine and a keyword phrase.
24. The instructions of claim 21 , wherein the bid rule is defined at least in part according to a time slice.
25. The instructions of claim 24 , wherein the time slice defines at least one bidding parameter, the at least one bidding parameter including at least one of enabled/suspended, minimum/maximum bid, minimum/maximum position, and bid increment/decrement.
26. The instructions of claim 21 , further comprising instructions for performing the optimization according to a series of time slices.
27. The instructions of claim 21 , further comprising instructions for obtaining the data according to each of a plurality of time slices.
28. The instructions of claim 21 , wherein the optimization is one of a maximization and a minimization.