ADVERTISING AND MARKETING BASED ON LIFEOTYPES

• US 20080319855A1
• Filed: 02/19/2008
• Published: 12/25/2008
• Est. Priority Date: 02/16/2007
• Status: Abandoned Application

• Current Assignee: JB IP Acquisitions LLC
• Original Assignee: JB IP Acquisitions LLC
• Inventors: Andre, David, Stivoric, John M., Teller, Eric, Monocello, John A.
• Application Number:
  US12/033,766
• Publication Number:
  US 20080319855A1
• Time in Patent Office: Days
• US Class Current: 705/14
• CPC Class Codes: A61B 5/021 Measuring pressure in heart or blood vessels A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/0826 Detecting or evaluating apnoea events A61B5/4818 takes precedence
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/1123 Discriminating type of movement, e.g. walking or running A61B5/1116, A61B5/112 take precedence
• CPC Class Codes: A61B 5/168 Evaluating attention deficit, hyperactivity
• CPC Class Codes: A61B 5/4806 Sleep evaluation A61B5/4821 takes precedence; devices for inducing sleep A61M21/02
• CPC Class Codes: A61B 5/4812 Detecting sleep stages or cycles
• CPC Class Codes: A61B 5/4815 Sleep quality
• CPC Class Codes: A61B 5/4818 Sleep apnoea
• CPC Class Codes: A61B 5/4833 Assessment of subject's compliance to treatment
• CPC Class Codes: A61B 5/4836 Diagnosis combined with treatment in closed-loop systems or methods A61B5/0036 takes precedence
• CPC Class Codes: A61B 5/6801 specially adapted to be attached to or worn on the body surface
• CPC Class Codes: A61B 5/6802 Sensor mounted on worn items
• CPC Class Codes: A61B 5/72 Signal processing specially adapted for physiological signals or for diagnostic purposes character recognition, recognising digital ink, document-oriented image-based pattern recognition G06V30/00; recognition or understanding of postal images G06V30/424
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: A61B 5/7278 Artificial waveform generation or derivation, e.g. synthesising signals from measured signals A61B5/327 takes precedence
• CPC Class Codes: A61B 5/7282 Event detection, e.g. detecting unique waveforms indicative of a medical condition A61B5/4094, A61B5/4818, A61B5/349, A61B5/0823 take precedence
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: A61B 5/746 Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms alarms per se G08B
• CPC Class Codes: A61B 5/747 in case of emergency, i.e. alerting emergency services
• CPC Class Codes: A61B 5/7475 : User input or interface means, e.g. keyboard, pointing device, joystick
• CPC Class Codes: A61M 2021/0027 : by the hearing sense
• CPC Class Codes: A61M 2021/005 : images, e.g. video
• CPC Class Codes: A61M 21/00 : Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
• CPC Class Codes: A61M 21/02 : for inducing sleep or relaxation, e.g. by direct nerve stimulation, hypnosis, analgesia for massage A61H; electrotherapy A61N, e.g. applying alternating or intermittent electric currents for producing anaesthesia A61N1/36021
• CPC Class Codes: G06F 16/24575 : using context
• CPC Class Codes: G06F 16/248 : Presentation of query results
• CPC Class Codes: G06F 16/25 : Integrating or interfacing systems involving database management systems
• CPC Class Codes: G06F 16/285 : Clustering or classification
• CPC Class Codes: G06F 16/38 : Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06F 16/90344 : by using string matching techniques
• CPC Class Codes: G06N 20/00 : Machine learning
• CPC Class Codes: G06N 5/04 : Inference or reasoning models
• CPC Class Codes: G06Q 30/0242 : Determining effectiveness of advertisements
• CPC Class Codes: G06Q 30/0251 : Targeted advertisements
• CPC Class Codes: G06Q 30/0269 : based on user profile or attribute
• CPC Class Codes: G06Q 30/0271 : Personalized advertisement
• CPC Class Codes: G06Q 30/0277 : Online advertisement
• CPC Class Codes: G06Q 40/08 : Insurance
• CPC Class Codes: G09B 19/00 : Teaching not covered by other main groups of this subclass teaching or practice apparatus for gun-aiming or gun-laying F41G3/26
• CPC Class Codes: G09B 5/00 : Electrically-operated educational appliances working with questions and answers G09B7/00; simulators G09B9/00; advertising or displaying in general G09F
• CPC Class Codes: G16B 40/00 : ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
• CPC Class Codes: G16B 50/00 : ICT programming tools or database systems specially adapted for bioinformatics
• CPC Class Codes: G16B 99/00 : Subject matter not provided for in other groups of this subclass
• CPC Class Codes: G16H 10/60 : for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 40/63 : for local operation
• CPC Class Codes: G16H 50/20 : for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/30 : for calculating health indices; for individual health risk assessment
• CPC Class Codes: G16H 50/50 : for simulation or modelling of medical disorders
• CPC Class Codes: G16H 50/70 : for mining of medical data, e.g. analysing previous cases of other patients

Abstract

The methods and systems described herein may involve determining at least one lifeotype of at least one individual, analyzing the at least one lifeotype, and targeting an advertisement to at least one individual based on the analysis. The methods and systems described herein may involve determining at least one lifeotype of at least one individual, analyzing the at least one lifeotype, and providing information regarding the at least one lifeotype to at least one individual. The methods and systems described herein may involve determining at least one lifeotype of a population of individuals, aggregating the lifeotype information, analyzing the lifeotype information, and providing an output regarding the at least one individual in the population.

Claims

1. A method, comprising:

determining at least one lifeotype of at least one individual;

analyzing the at least one lifeotype; and

targeting an advertisement to at least one individual based on the analysis.

2. The method of claim 1, wherein the at least one lifeotype includes demographic information.

3. The method of claim 1, wherein the at least one lifeotype includes location information.

4. The method of claim 1, wherein the at least one lifeotype includes contextual information.

6. The method of claim 1, wherein the advertisement is selected from the group consisting of video, audio and print.

8. The method of claim 1, wherein the advertisement is delivered using the Internet.

9. The method of claim 1, wherein the at least one lifeotype enables personalization of the advertisement.

10. The method of claim 1, further comprising assessing the response of the at least one individual to the advertisement.

12. The method of claim 1, further comprising assessing the response of the at least one individual to the advertisement and, if the individual purchases the relevant good or service, assessing the effectiveness of the good or service.

14. The method of claim 1, further comprising delivering the advertisement of the highest bidder to the at least one individual.

17. The method of claim 1, wherein the targeting affects at least one of placement, content format and timing of the advertisement.

5. (canceled)

7. (canceled)

11. (canceled)

13. (canceled)

15-16. -16. (canceled)

18-20. -20. (canceled)

21. A method, comprising:

determining at least one lifeotype of at least one individual;

analyzing the at least one lifeotype; and

providing information regarding the at least one lifeotype to at least one individual.

24. The method of claim 21, wherein the information regarding the at least one lifeotype is sold.

26. The method of claim 21, wherein the information regarding the at least one lifeotype aggregated into a dataset and sold.

29. The method of claim 21, wherein the information regarding the at least one lifeotype is aggregated and at least one seat to access the information is licensed.

40. The method of claim 21, wherein the individual to which the information regarding the lifeotype relates is paid a royalty when such information is accessed.

44. The method of claim 21, wherein information about at least one of an individual'"'"'s lifeotypes can be shared with others on an anonymous basis.

22-23. -23. (canceled)

25. (canceled)

27-28. -28. (canceled)

30-39. -39. (canceled)

41-43. -43. (canceled)

45-46. -46. (canceled)

47. A method, comprising:

determining at least one lifeotype of a population of individuals;

aggregating the lifeotype information;

analyzing the lifeotype information; and

providing an output regarding the at least one individual in the population.

49. The method of claim 47, wherein the output is a prediction regarding sales of a particular product.

50. The method of claim 47, wherein the output is a prediction regarding sales of a particular service.

51. The method of claim 47, wherein the output is a recommendation for marketing a particular product.

52. The method of claim 47, wherein the output is a recommendation for marketing a particular service.

53. The method of claim 47, wherein the output is a recommendation for which sub-population to target in connection with a particular product or service.

58. The method of claim 47, wherein the aggregated information is licensed.

48. (canceled)

54-57. -57. (canceled)