Automated offer management using audience segment information

• US 20060224447A1
• Filed: 03/31/2005
• Published: 10/05/2006
• Est. Priority Date: 03/31/2005
• Status: Abandoned Application

• Current Assignee: Google Inc. (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Koningstein, Ross
• Application Number:
  US11/096,283
• Publication Number:
  US 20060224447A1
• Time in Patent Office: Days
• US Class Current: 705/14.130
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0211 Determining the effectiveness of discounts or incentives
• CPC Class Codes: G06Q 30/0255 based on user history
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06Q 30/0283 Price estimation or determination

Abstract

An advertiser'"'"'s management of an advertising campaign may be assisted by (a) accepting information defining a plurality of audience segments to which an advertisement may be served, (b) accepting a first offer, and (c) determining, using the first offer, a second offer associated with at least one of the plurality of audience segments. The act of determining a second offer associated with one of the plurality of audience segments may use an indication of value assigned to the one audience segment. The indication of value may be automatically determined, and/or provided by an advertiser. The indication of value may be expressed as functions, rules, and/or parameter values. The information defining a plurality of audience segments may be one or more of (a) location information, (b) user information, (c) temporal information, and (d) client device information.

Claims

1. A computer-implemented method comprising:

a) accepting information defining a plurality of audience segments to which an advertisement may be served;

b) accepting a first offer; and

c) determining, using the first offer, a second offer associated with at least one of the plurality of audience segments.

2. The computer-implemented method of claim 1 wherein the information defining a plurality of audience segments is location information.

3. The computer-implemented method of claim 1 wherein the information defining a plurality of audience segments is user information.

4. The computer-implemented method of claim 3 wherein the user information is user demographic information.

5. The computer-implemented method of claim 3 wherein the user information is user behavior information.

6. The computer-implemented method of claim 1 wherein the information defining a plurality of audience segments is temporal information.

7. The computer-implemented method of claim 6 wherein the temporal information includes one of (A) a date range, (B) a time-of-day range, and (C) a day-of-week range.

8. The computer-implemented method of claim 1 wherein the information defining a plurality of audience segments is client device information.

9. The computer-implemented method of claim 8 wherein the client device information includes whether or not the client device has call functionality.

10. The computer-implemented method of claim 8 wherein the client device information includes whether or not the client device has limited display capabilities.

11. The computer-implemented method of claim 8 wherein the client device information includes whether or not the client device has limited communications capabilities.

12. The computer-implemented method of claim 1 wherein the act of determining, using the first offer, a second offer associated with one of the plurality of audience segments uses an indication of value assigned to the one audience segment.

13. The computer-implemented method of claim 12 wherein the indication of value is assigned by an advertiser associated with the advertisement.

14. The computer-implemented method of claim 12 wherein the indication of value is determined using past performance information of the advertisement with respect to the one audience segment.

15. The computer-implemented method of claim 12 wherein the indication of value is determined using past performance information of one or more other advertisements, that are similar to the advertisement, with respect to the one audience segment.

16. The computer-implemented method of claim 15 wherein the one or more other advertisements are considered to be similar to the advertisement if they are associated with the same advertiser as is associated with the advertisement.

17. The computer-implemented method of claim 15 wherein the one or more other advertisements are considered to be similar to the advertisement if they include at least one common serving constraint as the advertisement.

18. The computer-implemented method of claim 1 wherein the act of determining, using the first offer, a second offer associated with one of the plurality of audience segments uses a value function which considers at least one characteristic of the audience segments.

19. The computer-implemented method of claim 18 wherein the value function decreases with increasing distance from the advertiser.

20. The computer-implemented method of claim 18 wherein the value function outputs continuous values.

21. The computer-implemented method of claim 18 wherein the value function outputs quantized, discrete values.

22. The computer-implemented method of claim 18 wherein the value function is a scaling function and wherein each of at least some of the plurality of audience segments includes a scaling factor.

23. The computer-implemented method of claim 18 wherein the value function is an additive function and wherein each of at least some of the plurality of audience segments includes one of (A) an incrementing factor, and (B) a reduction factor.

24. The computer-implemented method of claim 1 wherein each of the offers is selected from a group consisting of (A) a maximum offer per ad selection, (B) a maximum offer per auto telephone call on ad selection, (C) a maximum offer per ad conversion, (D) maximum offer per ad impression, (E) an offer per ad selection, (F) an offer per auto telephone call on ad selection, (G) an offer per ad conversion, and (H) an offer per ad impression.

25. The computer-implemented method of claim 1 wherein the act of determining, using the first offer, the second offer associated with one of the plurality of audience segments uses a value factor associated with the one audience segment.

26. The computer-implemented method of claim 1 wherein the act of determining, using the first offer, the second offer associated with one of the plurality of audience segments uses a composite value factor determined using appropriate ones of value factors associated with each of a plurality of audience segments.

27. The computer-implemented method of claim 1 wherein the plurality of audience segments consists of from 2 to 4 audience segments.

28. The computer-implemented method of claim 27 wherein the plurality of audience segments consists of 3 audience segments.

29. A computer-implemented method comprising:

a) accepting information defining a plurality of audience segments to which an advertisement may be served; and

b) determining, for each of the plurality of audience segments, a relative value of the audience segment to an advertiser.

30. The computer-implemented method of claim 29 further comprising:

c) providing to the advertiser, the determined relative values of the audience segments.

31. The computer-implemented method of claim 30 further comprising:

d) providing to the advertiser, means for the advertiser to elect to have offers automatically determined for the audience segments using the relative values of the audience segments.

32. The computer-implemented method of claim 31 further comprising:

e) determining offers for the audience segments using the relative values of the audience segments upon advertiser election.

33. Apparatus comprising:

a) means for accepting information defining a plurality of audience segments to which an advertisement may be served;

b) means for accepting a first offer; and

c) means for determining, using the first offer, a second offer associated with at least one of the plurality of audience segments.

34. Apparatus comprising:

a) means for accepting information defining a plurality of audience segments to which an advertisement may be served; and

b) means for determining, for each of the plurality of audience segments, a relative value of the audience segment to an advertiser.