System and method for metricizing assets in a brand affinity content distribution

• US 20100114690A1
• Filed: 10/29/2009
• Published: 05/06/2010
• Est. Priority Date: 09/07/2007
• Status: Abandoned Application

• Current Assignee: Veritone Media
• Original Assignee: Veritone Media
• Inventors: Steelberg, Ryan, Steelberg, Chad
• Application Number:
  US12/589,842
• Publication Number:
  US 20100114690A1
• Time in Patent Office: Days
• US Class Current: 705/14.430
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0244 Optimization
• CPC Class Codes: G06Q 30/0246 Traffic

Abstract

An engine, system and method for a delivery tracking software engine for tracking metrics associated with delivery of at least one endorsed advertisement to at least one consumer over at least one computing network. The engine, system and method may include a plurality of inputs parallel to at least one output of the at least one endorsed advertisement, wherein the plurality of inputs receives at least a number of impressions and click throughs by ones of the consumer responsive to the at least one endorsed advertisement upon the delivery, and at least compliance rules for the delivery of the at least one endorsed advertisement, and at least one feedback loop that associates the plurality of inputs with at least one recommendation engine, wherein the recommendation engine recommends ones of the at least one endorsed advertisement for the delivery to the consumer, and wherein the recommendation by the recommendation engine is modified responsive to the plurality of inputs, and wherein said at least one feedback loop includes a monitor of compliance of the delivery with the compliance rules.

Claims

1. A delivery tracking software engine for tracking metrics associated with delivery of at least one endorsed advertisement to at least one consumer over at least one computing network, comprising:

a plurality of inputs parallel to at least one output of the at least one endorsed advertisement, wherein said plurality of inputs receives at least a number of impressions and click throughs by ones of the consumer responsive to the at least one endorsed advertisement upon the delivery, and at least compliance rules for the delivery of the at least one endorsed advertisement;

at least one feedback loop that associates said plurality of inputs with at least one recommendation engine, wherein the recommendation engine recommends ones of the at least one endorsed advertisement for the delivery to the consumer, and wherein the recommendation by the recommendation engine is modified responsive to said plurality of inputs, and wherein said at least one feedback loop comprises a monitor of compliance of the delivery with the compliance rules.

2. The delivery tracking software engine of claim 1, wherein said plurality of inputs further comprises a demography of the consumer.

3. The delivery tracking software engine of claim 2, wherein the demography is in accordance with at least one cookie on a computer of the consumer.

4. The delivery tracking software engine of claim 2, wherein the modification is responsive to the demography.

5. The delivery tracking software engine of claim 1, wherein said plurality of inputs further comprises at least a time stamp.

6. The delivery tracking software engine of claim 1, wherein said feedback loop comprises value obtained from an endorser of the at least one endorsed advertisement versus a cost for the endorser.

7. The delivery tracking software engine of claim 1, further comprising a reporting engine that reports regarding said at least one feedback loop.

8. The delivery tracking software engine of claim 1, further comprising a delivery engine that executes the modification by the modification engine responsive to said at least one feedback loop.

9. The delivery tracking software engine of claim 1, wherein said plurality of inputs further receives at least a post-click conversion rate and at least one post-impression activity of the consumer.

10. The delivery tracking software engine of claim 9, wherein said feedback loop comprises a positive correlation between the delivery and the consumer responsive to an increased post-click conversion rate, and wherein the modification by the recommendation engine comprises ones of the delivery to other ones of the consumer equivalent to the consumer in at least one of demography and geography.

11. The delivery tracking software engine of claim 1, wherein said plurality of inputs further receives a geography of the consumer.

12. The delivery tracking software engine of claim 1, wherein said plurality of inputs further receives a day portion stamp for the delivery.

13. The delivery tracking software engine of claim 1, wherein said plurality of inputs further comprises an elapsed time of the impression of the delivery.

14. The delivery tracking software engine of claim 13, wherein said feedback loop comprises a positive correlation between the delivery and the consumer responsive to an increase in the elapsed time of the impression.

15. The delivery tracking software engine of claim 1, wherein said feedback loop further comprises at least one predictive output.

16. The delivery tracking software engine of claim 15, wherein the at least one predictive output comprises likely impressions responsive to the modification.

17. The delivery tracking software engine of claim 15, wherein the at least one predictive output comprises likely click throughs responsive to the modification.

18. The delivery tracking software engine of claim 15, wherein the at least one predictive output comprises likely post-click conversions responsive to the modification.

19. The delivery tracking software engine of claim 15, wherein the at least one predictive output is in accordance with at least demography and geography of the consumer.

20. The delivery tracking software engine of claim 1, wherein the compliance rules comprise at least redundancy avoidance.

21. The delivery tracking software engine of claim 1, wherein the delivery comprises delivery to at least one of internet, TV, radio, mobile devices, and kiosks.

22. An asset metricization engine for an endorsing asset for at least one advertisement, wherein an endorser corresponds to a plurality of the endorsing assets, comprising:

a rating assessor that automatically generates at least one rating in at least one category for at least one reference to one of the endorsing assets outside of the at least one advertisement;

a plurality of individualized information resident in at least one computing vault and comprising ones of the at least one ratings and asset information regarding the endorser; and

a metricization output from at least one computing processor comprising a metricization of the endorser as a correlation of;

ones of the ratings for ones of the endorsing assets of the endorser; and

at least a location, market, time and associations of the at least one references.

23. The asset metricization engine of claim 22, wherein the ones of the endorsing assets comprise a listing, an illustration, a graphic, a menu, and a search.

24. The asset metricization engine of claim 22, wherein ones of the asset information comprise a sport, a team, a position, a jersey number, a league, a college, a height, and a weight.

25. The asset metricization engine of claim 22, wherein said metricization output comprises a marketability of the endorser.

26. The asset metricization engine of claim 22, further comprising a graphical display for selection of the endorsing asset in the at least one advertisement responsive to said metricizing output.

27. The asset metricization engine of claim 26, wherein the graphical display comprises at least the endorsing assets in a shuffled-card format.

28. The asset metricization engine of claim 26, wherein the graphical display comprises at least ones of the endorsers in a shuffled-card format.

29. The asset metricization engine of claim 22, wherein the correlation further comprises domain use records of the at least one references.

30. The asset metricization engine of claim 22, wherein the correlation further comprises page rank of the at least one references.

31. The asset metricization engine of claim 22, wherein the correlation further comprises popularity of the at least one references.

32. The asset metricization engine of claim 22, wherein the correlation further comprises trends of the at least one references.

33. The asset metricization engine of claim 22, wherein the correlation further comprises trends of the endorser.

34. The asset metricization engine of claim 22, wherein the correlation further comprises linking of the at least one references.

35. The asset metricization engine of claim 22, wherein the correlation further comprises linking to the endorsing asset.

36. The asset metricization engine of claim 22, wherein the correlation further comprises survey data.

37. The asset metricization engine of claim 22, wherein said metricization output further comprises a stability control.

38. The asset metricization engine of claim 37, wherein the stability control comprises stability for a predetermined time frame.

39. The asset metricization engine of claim 38, wherein the predetermined time frame is correspondent to a threshold for ones of the ratings.

40. The asset metricization engine of claim 37, wherein the stability control comprises a linear decay function.

41. The asset metricization engine of claim 37, wherein the stability control comprises an exponential decay function.