Method and apparatus for generating, optimizing, and managing granular advertising campaigns

• US 20060173744A1
• Filed: 01/31/2006
• Published: 08/03/2006
• Est. Priority Date: 02/01/2005
• Status: Abandoned Application

• Current Assignee: Searchrev LLC
• Original Assignee: Searchrev LLC
• Inventors: Llach, Eduardo F., Kandasamy, David R.
• Application Number:
  US11/345,135
• Publication Number:
  US 20060173744A1
• Time in Patent Office: Days
• US Class Current: 705/14.420
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0243 Comparative campaigns
• CPC Class Codes: G06Q 30/0244 Optimization
• CPC Class Codes: G06Q 30/0261 based on user location
• CPC Class Codes: G06Q 30/0275 Auctions

Abstract

Systems for and methods of the present invention are directed to managing and optimizing ad campaigns. One method in accordance with the present invention comprises selecting a parent advertising campaign and generating a child advertising campaign, wherein the child advertising campaign automatically inherits selected advertising criteria from the parent advertising campaign. Another method in accordance with the present invention comprises determining performance metrics for multiple advertisements in an advertising campaign, selecting an advertisement from the multiple advertisements based on its performance metric, and running the selected advertisement. Performance metrics include, but are not limited to, return on ad spend, conversions, number of clicks on an advertisement, number of purchases, to name a few metrics.

Claims

1. A method of managing an advertising campaign comprising:

a. selecting a parent advertising campaign; and

b. generating a child advertising campaign, wherein the child advertising campaign automatically inherits selected advertising criteria from the parent advertising campaign.

2. The method of claim 1, wherein the advertising criteria include at least one of a keyword, a creative, and a bid.

3. The method of claim 1, wherein changing a value of an advertising criterion in the parent advertising campaign automatically triggers a change in a value of the advertising criterion in the child advertising campaign.

4. The method of claim 1, further comprising setting the parent advertising campaign to trigger on a first type of keyword match and setting the child advertising campaign to trigger on a second type of keyword match.

5. The method of claim 4, wherein the each of the first type of keyword match and the second type of keyword match is one of an exact match, a phrase match, and a broad match.

6. The method of claim 1 wherein the parent advertising campaign is targeted to a first geographical location and the child advertising campaign is targeted to a second geographic location different from the first geographic location.

7. The method of claim 6, wherein a ratio between a value of an advertising criterion in the parent advertising campaign and a value of the advertising criterion in the child advertising campaign varies with a relationship between the first geographic location and the second geographic location.

8. A method of managing an advertising campaign comprising:

a. determining performance metrics for multiple advertisements in the advertising campaign; and

b. selecting an advertisement from the multiple advertisements based on its performance metric.

9. The method of claim 8, wherein each advertisement is formed by combining keywords, and creatives, wherein each keyword and each creative has an associated rating.

10. The method of claim 9, wherein the combining of keywords and creatives is determined by a fallback algorithm.

11. The method of claim 8, wherein the selected advertisement is selected based on a performance metric associated with its match type.

12. The method of claim 11, wherein the match type is one of an exact match, a phrase match, and a broad match.

13. The method of claim 11, further comprising adjusting a bid for a keyword based on the match type.

14. The method of claim 11, further comprising identifying new keywords to be added to the advertising campaign based on the match type.

15. The method of claim 11, further comprising determining which keywords from a plurality of keywords are to be run in a selected one of an exact match, a phrase match, and a broad match.

16. The method of claim 8, wherein each advertisement has a corresponding combination of creative, match type, landing page, and geographic target.

17. The method of claim 16, wherein the multiple advertisements are run concurrently.

18. The method of claim 17, wherein the multiple advertisements are run sequentially.

19. The method of claim 8, further comprising generating a plurality of combinations of advertising criteria for the multiple advertisements.

20. The method of claim 19, wherein a performance metric of the selected advertisement corresponds to a conversion rate.

21. The method of claim 19, further comprising adjusting bids based on performance metrics corresponding to each of the plurality of advertising criteria.

22. The method of claim 21, further comprising concurrently running the multiple advertisements each containing a keyword and determining a performance metric for each advertisement.

23. The method of claim 21, further comprising sequentially running the multiple advertisements each containing a keyword and determining a performance metric for each advertisement.

24. The method of claim 19, wherein the advertising criteria comprise any one or more of keywords, channels, syndications, creatives, match types, landing pages, geographic areas, days of the week, times of the day, age and gender.

25. The method of claim 21, wherein the multiple advertisements are related in a tree structure having a parent node and corresponding child nodes, wherein the parent node corresponds to an advertisement and the child nodes each corresponds to a match type for the advertisement of the parent node, the method further comprising pruning a child node from the tree if a performance metric corresponding to the parent node is below a predetermined threshold value.

26. The method of claim 19, wherein the advertising criteria correspond to geographic targets, the method further comprising determining a bid for each of the advertisements based on its geographic target and its corresponding performance metric.

27. The method of claim 8, further comprising:

a. determining sources of actions for each of the multiple advertisements; and

b. removing an advertisement from running at a source where a performance metric for the advertisement is below a predetermined threshold value.

28. The method of claim 27, wherein the sources of actions are identified by Internet Protocol addresses.

29. The method of claim 28, further comprising determining a referrer Uniform Resource Locator containing an Internet Protocol address.

30. The method of claim 8, further comprising:

a. specifying multiple performance goals for the multiple advertisements; and

b. adjusting bids for the multiple advertisements based on the multiple performance goals.

31. The method of claim 30, wherein the performance goals comprise a maximum total cost for the entire advertising campaign and a maximum cost for an advertisement in the advertising campaign.

32. The method of claim 8, further comprising:

a. determining a first keyword for the advertising campaign;

b. automatically determining a negative keyword of the first keyword; and

c. running an advertisement from the advertising campaign only if a document that triggers the advertising campaign contains the first keyword but does not contain the negative keyword.

33. The method of claim 32, wherein the negative keyword is determined from at least one of search terms and conversion data.

34. The method of claim 8, further comprising:

a. determining a sequence of clicks for accessing an item through an advertisement in the advertising campaign;

b. determining a value for the clicks in the sequence of clicks; and

c. allocating a performance metric to each of the clicks in the sequence of clicks.

35. The method of claim 34, wherein allocating performance metrics is based on any one or more of a time of a click, an order of a click in the sequence of clicks, and a number of advertisements clicked.

36. A shadow campaign system comprising:

a. means for generating a shadow campaign from a parent advertising campaign; and

b. a means for populating the shadow campaign with selected advertising criteria from the parent advertising campaign.

37. The system of claim 36, wherein the shadow campaign is a selected one of a conditional shadow campaign and an unconditional shadow campaign.

38. A system for managing an advertising campaign comprising:

a. a first module for generating multiple advertisements each containing a combination of advertising criteria from multiple combinations of advertising criteria; and

b. a performance calculator for calculating a performance of an advertisement from the multiple advertisements.

39. The system of claim 38, wherein the advertising criteria comprise any two or more of geographic locations, traffic sites, and match types.

40. The system of claim 38, wherein the advertising criteria comprise any two or more of creatives, landing pages, and geotargeting criteria.

41. The system of claim 38, wherein the advertising criteria comprise any two or more of keywords, channels, syndications, days of the week, times of the day, age, and gender.

42. The system of claim 38, further comprising a run module for running the generated multiple advertisements.

43. The system of claim 42, wherein the run module is configured to run the generated advertisements concurrently.

44. The system of claim 42, wherein the run module is configured to run the generated advertisements sequentially.

45. The system of claim 38, further comprising means for pruning advertisements that do not meet a threshold performance metric.

46. The system of claim 38, further comprising:

a. means for determining a purchase of an item from an advertisement in the advertising campaign; and

b. means for determining performance metrics for clicks in a sequence of clicks leading to the purchase.

47. The system of claim 46, wherein the means for determining performance metrics is configured to analyze a time of the clicks in the sequence of clicks, an order of a click in the sequence of clicks, and a number of clicks in the sequence of clicks.