Systems and processes for use in media and/or market research

• US 20060168613A1
• Filed: 11/29/2005
• Published: 07/27/2006
• Est. Priority Date: 11/29/2004
• Status: Abandoned Application

• Current Assignee: The Nielsen Company LLC (MOOD Media Corporation)
• Original Assignee: The Nielsen Company LLC (MOOD Media Corporation)
• Inventors: Wood, Leslie A., Fitzgerald, Joan G.
• Application Number:
  US11/288,866
• Publication Number:
  US 20060168613A1
• Time in Patent Office: Days
• US Class Current: 725/11
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: H04H 60/33 Arrangements for monitoring the users' behaviour or opinions
• CPC Class Codes: H04H 60/45 for identifying users
• CPC Class Codes: H04N 21/258 Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data arrangements for services using the result on the distributing side of broadcast systems H04H60/66; profiles in network data switching protocols H04L67/30
• CPC Class Codes: H04N 21/25883 being end-user demographical data, e.g. age, family status or address arrangements for identifying locations of users in broadcast systems H04H60/52
• CPC Class Codes: H04N 21/25891 being end-user preferences retrieval of video data in a video database based on user preferences G06F16/739; arrangements for recognizing users' preferences H04H60/46; user profiles in network data switching protocols H04L67/306; processing of user preferences or user profiles in wireless networks H04W8/18
• CPC Class Codes: H04N 21/44224 Monitoring of user activity on external systems, e.g. Internet browsing
• CPC Class Codes: H04N 21/466 Learning process for intelligent management, e.g. learning user preferences for recommending movies services using the results of monitoring in broadcast systems H04H60/61
• CPC Class Codes: H04N 21/4758 for providing answers, e.g. voting
• CPC Class Codes: H04N 21/488 Data services, e.g. news ticker systems specially adapted for using meteorological information in broadcast systems H04H60/71
• CPC Class Codes: H04N 21/812 involving advertisement data advertising per se G06Q30/02

Abstract

Processes and systems for use in media and market research are provided. In certain embodiments, predetermined media usage activities and/or purchasing activities are assigned to members of a household, for converting household level data to personal level data. In certain embodiments, reports are produced from various different datasets.

Claims

1. A process of estimating which persons in a household engaged in predetermined media usage activities, media exposure activities and/or market activities attributed to the household, comprising:

providing household data representing a plurality of media usage activities, media exposure activities and/or market activities attributed to a household;

providing individual member data representing an attribute of each of a plurality of household members; and

separately assigning each of the plurality of media usage activities, media exposure activities and/or market activities to a respective one of the household members based on the individual member data.

2. The process of claim 1, comprising producing likelihood data representing likelihoods that respective ones of the household members engaged in a selected one of the plurality of media usage activities, media exposure activities and/or market activities, and using the likelihood data to produce activity assignment data assigning the selected one of the plurality of media usage activities, media exposure activities and/or market activities to a respective one of the household members.

3. The process of claim 2, comprising producing the likelihood data based on the individual member data.

4. The process of claim 2, wherein the selected one of the plurality of media usage activities, media exposure activities and/or market activities comprises a first purchase of a predetermined type of goods and/or services, and the plurality of media usage activities, media exposure activities and/or market activities comprise a second purchase of the predetermined type of goods and/or services;

the process comprising producing further activity assignment data assigning the second purchase to one of the household members other than the respective one of the household members to which the first purchase was assigned based on the likelihood data for the first purchase.

5. The process of claim 1, wherein the individual member data comprises purchasing behavior data.

6. The process of claim 1, wherein the individual member data comprises media usage behavior data.

7. The process of claim 1, wherein the individual member data comprises demographic data.

8. The process of claim 1, wherein providing household data comprises gathering the household data by means of an electronic device.

9. The process of claim 8, wherein providing individual member data comprises surveying the household members.

10. The process of claim 1, wherein the household data represents Internet usage.

11. The process of claim 1, wherein separately assigning each of the plurality of media usage activities, media exposure activities and/or market activities to a respective one of the household members based on the individual member data comprises:

producing, for each of the household members, a corresponding probability that the respective member carried out the respective activity represented in the household data;

establishing, for each of the household members, a weight based upon the corresponding probability of the respective member; and

assigning one of the household members as having carried out the activity as a function of the established weights of the household members.

12. The process of claim 11, wherein establishing a weight comprises establishing, for each member younger than a predetermined age, the weight of the respective member as a function of an age of the member.

13. The process of claim 11, wherein establishing a weight comprises establishing a maximum predetermined weight for each member having an age lower than a predetermined age, and establishing, for each of the other household members younger than the predetermined age, a weight that is both a function of the maximum predetermined weight and a function of an age of the respective member.

14. The process of claim 11, wherein establishing a weight comprises establishing, for each household member, the weight of the member based upon an employment status of the respective member.

15. The process of claim 11, wherein establishing a weight comprises establishing, for each household member, the weight of the member based upon a gender of the respective member and a gender of persons who typically carry out the activity represented in the household data.

16. The process of claim 11, wherein the household data represents a plurality of products purchased by the household;

comprising producing, for each household member, a probability that the respective member had purchased one of the products represented by the household data; and

assigning one of the household members as having purchased said one of the products as a function of the established weights of the household members.

17. The process of claim 1, comprising:

establishing, for each of the household members, a first weight as a function of a first characteristic of the respective household member;

establishing, for each of the household members, a second weight as a function of a second characteristic of the respective household member;

producing, for each of the household members, a collective weight as a function of the established first and second weights of the respective household member; and

assigning one of the household members as having carried out the activity based upon the produced collective weights of the household members.

18. The process of claim 17, comprising producing, for each of the household members, the collective weight by multiplying the established first and second weights of the respective member.

19. The process of claim 1, wherein the provided household data comprises a first dataset identifying products purchased by the household during a predetermined period of time obtained during a first study;

the provided individual member data comprises a second dataset comprising results of a survey of members in the household participating in the survey, the second dataset containing data for each of the participating members identifying at least types of products purchased by the respective member during the predetermined period of time.

20. The process of claim 19, wherein separately assigning each of the plurality of media usage activities, media exposure activities and/or market activities to a respective one of the household members based on the individual member data comprises:

producing data, for each product purchased by the household as identified in the first dataset, identifying a household member who likely purchased the respective product based upon the data in the second dataset.

21. The process of claim 20, wherein the second dataset further includes, for each member participating in the survey, shopping data identifying a number of times the respective member shopped during the predetermined period of time;

and, for each product purchased by the household as identified in the first dataset, producing data identifying the household member who likely purchased the respective product based upon the shopping data of the respective member.

22. The process of claim 20, comprising assigning, for each product purchased by the household as identified in the first dataset, a probability that each respective member purchased the respective product based upon the data in the second dataset.

23. The process of claim 22, comprising carrying forward probabilities of members not assigned as a purchaser of a product of a certain type and combining the probabilities carried forward with probabilities of members having purchased another product of the certain type.

24. A process of converting data within a dataset representative of activity of a household having a plurality of members resulting from media and/or market research studies to data representative of activity of household members, comprising:

obtaining a first dataset identifying an activity of the household carried out during a predetermined period of time during a first study, the first dataset including data representing a total amount of the activity carried out by the household during the predetermined period of time;

obtaining a second dataset comprising results of a survey of participants in the household, the second dataset containing data indicating an amount of the activity carried out by each participant during the predetermined period of time;

for each of the household members who participated in the survey, producing data representing a determined amount of the activity carried out by the respective member during the predetermined period of time based upon the total amount of usage represented by data in the first dataset and the indicated amounts in the second dataset; and

producing data identifying each household member who participated in the survey and data representing the determined amount of the activity carried out by each respective household member.

25. The process of claim 24, wherein the first study comprises automatically recording a total amount of usage of the Internet by the household, and the second study comprises a survey asking each of the household members how much Internet usage the respective member carried out during the predetermined period of time;

and comprising producing data representing an amount of Internet usage by each member participating in the survey.

26. The process of claim 25, comprising, for each of the household members who participated in the survey, producing data representing an amount of Internet usage thereby based on data representing an amount of Internet usage thereof from the second dataset multiplied by the total amount of usage identified in the first dataset divided by a sum of all of the household members reported usage in the second dataset.

27. A process of preparing a media and/or market research report from data included in a dataset of media and/or market research data, the dataset including data records each pertaining to a corresponding participant in a media and/or market research activity and including participant related data representing at least one of the corresponding participant'"'"'s attributes, comprising:

providing characteristics data defining a set of the participants to include in a media and/or market research report;

providing behavior data defining a set of media usage activities, media exposure activities and/or market activities to include in the market research report;

accessing data records from the dataset based on at least one of the characteristics data and the behavior data; and

producing a media and/or market research report using data included in the accessed data records based on the characteristics data and the behavior data.

28. The process of claim 27, wherein the characteristics data includes a characteristics time period and the behavior data includes a behavior time period;

and accessing data records comprises accessing data records in accordance with the characteristics and behavior time periods.

29. The process of claim 27, wherein accessing data records comprises selecting records pertaining to participants in the market research activity who correspond to the provided characteristics data, and accessing the selected records based upon the provided behavior data.

30. The process of claim 27, comprising selecting at least one of a plurality of datasets available for selection, the selected dataset including data records pertinent to at least one of the provided characteristics data and the provided behavior data.

31. A process of producing a report from datasets containing data from media usage, media exposure and/or market research studies, comprising:

obtaining a first dataset including data representative of at least a first activity of participants in a first study;

obtaining a second dataset including data representative of at least a second activity of participants in a second study;

identifying a characteristic for use in generating a report, the characteristic being one of the first activity and the second activity;

identifying a behavior for use in generating the report, the behavior being the other of the first activity and the second activity;

selecting participants for inclusion in the report based upon data from at least one of the first dataset and the second dataset indicating participants who carried out the identified characteristic; and

including data in the report representing the identified behavior of the selected participants.

32. The process of claim 31, wherein the data of the first dataset represents exposure to an advertisement advertising a product or service;

the data of the second dataset represents a purchase of the product or service advertised by the advertisement;

the process comprising correlating exposure to the advertisement with the purchase of the product or service.

33. The process of claim 31, wherein selecting participants comprises selecting participants irrespective of levels of compliance of participants in the study measuring the activity corresponding to the behavior.

34. The process of claim 31, wherein the first study spans a first period of time and the second study spans a second period of time different from the first period of time.

35. The process of claim 34, wherein selecting participants comprises selecting participants who carried out the identified characteristic within the period of time of the study measuring the activity corresponding to the characteristic.

36. The process of claim 34, comprising weighting data representative of the identified behavior of the selected participants based upon the period of time of the study measuring the activity corresponding to the behavior.

37. The process of claim 34, comprising applying, to the identified behavior of each of the selected participants, a respective single weight to compensate for different levels of compliance of the participants included in the report over the period of time of the study measuring the activity corresponding to the behavior.

38. A process of producing a report from datasets containing data representative of results of studies measuring different activity, comprising:

obtaining access to a plurality of datasets each including data representative of activity of participants in a respective study;

identifying a characteristic for use in generating a report;

selecting a first dataset from the plurality of datasets measuring activity of participants in the respective study corresponding to the identified characteristic for use in generating the report;

selecting for inclusion in the report participants in the selected first dataset who, as indicated by the data of the first selected dataset, carried out the identified characteristic;

identifying a behavior to integrate with the identified characteristic;

selecting a second dataset from the plurality of datasets measuring activity of participants in the respective study corresponding to the identified behavior, the participants in the study corresponding to the selected first dataset also being participants in the study corresponding to the selected second dataset; and

producing a report including data representative of the participants selected for inclusion in the report and data representative of the activity of the participants selected for inclusion measured in the study corresponding to the selected second dataset.

39. The process of claim 38, comprising weighting the data representative of the activity measured in the study corresponding to the selected second dataset based upon a period of time of the study corresponding to the second selected dataset.

40. The process of claim 38, wherein the selected second dataset includes data representative of measured activity of participants resulting from at least two measures pertaining to the activity;

the process comprising applying, to the measured activity of each of the participants, a respective single weight to compensate for different levels of compliance of the participants corresponding to the at least two measures.

41. The process of claim 40, wherein the single weight applied to the measured activity of each of the participants is a function of an inverse of a combination of levels of compliance of the respective participant corresponding to the at least two measures.

42. A process of weighting a dataset containing data representative of results of a study measuring activity of a plurality of participants, comprising:

obtaining a dataset containing data representative of results of a study measuring activity of a plurality of participants;

designating a behavior;

producing, for each of the participants, a single weighting factor based upon a total period of time of the study measuring the activity corresponding to the designated behavior; and

weighting the data representative of the measured activity of each of the participants in accordance with the respective single weighting factor.

43. The process of claim 42, wherein the ascertaining step is carried out by ascertaining, for each of the participants, the single weighting factor to compensate for different levels of compliance of the participants over the total period of time of the study.

44. A system for estimating which persons in a household engaged in predetermined media usage activities, media exposure activities and/or market activities attributed to the household, comprising:

at least one input for receiving household data representing a plurality of media usage activities, media exposure activities and/or market activities attributed to a household;

the at least one input receiving individual member data representing an attribute of each of a plurality of household members; and

a processor coupled to the at least one input to receive the household data and the individual member data and operative to separately assign each of the plurality of media usage activities, media exposure activities and/or market activities to a respective one of the household members based on the individual member data.

45. The system of claim 44, wherein the processor is further operative to produce likelihood data representing likelihoods that respective ones of the household members engaged in a selected one of the plurality of media usage activities, media exposure activities and/or market activities, and to use the likelihood data to produce activity assignment data assigning the selected one of the plurality of media usage activities, media exposure activities and/or market activities to a respective one of the household members.

46. The system of claim 45, wherein the processor is further operative to produce the likelihood data based on the individual member data.

47. The system of claim 45, wherein the selected one of the plurality of media usage activities, media exposure activities and/or market activities comprises a first purchase of a predetermined type of goods and/or services, and the plurality of media usage activities, media exposure activities and/or market activities comprise a second purchase of the predetermined type of goods and/or services;

the processor being operative to produce further activity assignment data assigning the second purchase to one of the household members other than the respective one of the household members to which the first purchase was assigned based on the likelihood data for the first purchase.

48. The system of claim 44, wherein the individual member data comprises purchasing behavior data.

49. The system of claim 44, wherein the individual member data comprises media usage behavior data.

50. The system of claim 44, wherein the individual member data comprises demographic data.

51. The system of claim 44, further comprising an electronic device gathering the household data.

52. The system of claim 51, further comprising means for surveying the household members.

53. The system of claim 44, wherein the household data represents Internet usage.

54. The system of claim 44, wherein the processor is operative to:

produce, for each of the household members, a corresponding probability that the respective member carried out the respective activity represented in the household data;

establish, for each of the household members, a weight based upon the corresponding probability of the respective member; and

assign one of the household members as having carried out the activity as a function of the established weights of the household members.

55. The system of claim 54, wherein the processor is operative to establish, for each member younger than a predetermined age, the weight of the respective member as a function of an age of the member.

56. The system of claim 54, wherein the processor is operative to establish a maximum predetermined weight for each member having an age lower than a predetermined age, and to establish, for each of the other household members younger than the predetermined age, a weight that is both a function of the maximum predetermined weight and a function of an age of the respective member.

57. The system of claim 54, wherein the processor is operative to establish, for each household member, the weight of the member based upon an employment status of the respective member.

58. The system of claim 54, wherein the processor is operative to establish, for each household member, the weight of the member based upon a gender of the respective member and a gender of persons who typically carry out the activity represented in the household data.

59. The system of claim 54, wherein the household data represents a plurality of products purchased by the household;

and the processor is operative to produce, for each household member, a probability that the respective member had purchased one of the products represented by the household data, and to assign one of the household members as having purchased said one of the products as a function of the established weights of the household members.

60. The system of claim 44, wherein the processor is operative to:

establish, for each of the household members, a first weight as a function of a first characteristic of the respective household member;

establish, for each of the household members, a second weight as a function of a second characteristic of the respective household member;

produce, for each of the household members, a collective weight as a function of the established first and second weights of the respective household member; and

assign one of the household members as having carried out the activity based upon the produced collective weights of the household members.

61. The system of claim 60, wherein the processor is operative to produce, for each of the household members, the collective weight by multiplying the established first and second weights of the respective member.

62. The system of claim 44, wherein the household data comprises a first dataset identifying products purchased by the household during a predetermined period of time obtained during a first study;

the individual member data comprises a second dataset comprising results of a survey of members in the household participating in the survey, the second dataset containing data for each of the participating members identifying at least types of products purchased by the respective member during the predetermined period of time.

63. The system of claim 62, wherein the processor is operative to produce data, for each product purchased by the household as identified in the first dataset, identifying a household member who likely purchased the respective product based upon the data in the second dataset.

64. The system of claim 63, wherein the second dataset further includes, for each member participating in the survey, shopping data identifying a number of times the respective member shopped during the predetermined period of time;

and, for each product purchased by the household as identified in the first dataset, producing data identifying the household member who likely purchased the respective product based upon the shopping data of the respective member.

65. The system of claim 63, wherein the processor is operative to assign, for each product purchased by the household as identified in the first dataset, a probability that each respective member purchased the respective product based upon the data in the second dataset.

66. The system of claim 65, wherein the processor is operative to carry forward probabilities of members not assigned as a purchaser of a product of a certain type and to combine the probabilities carried forward with probabilities of members having purchased another product of the certain type.

67. A system for converting data within a dataset representative of activity of a household having a plurality of members resulting from media and/or market research studies to data representative of activity of household members, comprising:

at least one input for receiving a first dataset identifying activity of the household carried out during a predetermined period of time during a first study, the first dataset including data representing a total amount of the activity carried out by the household during the predetermined period of time;

the at least one input receiving a second dataset comprising results of a survey of participants in the household, the second dataset containing data indicating an amount of the activity carried out by each participant during the predetermined period of time; and

a processor coupled to the at least one input and operative to;

produce, for each of the household members who participated in the survey, data representing a determined amount of the activity carried out by the respective member carried out during the predetermined period of time based upon the total amount of usage represented by data in the first dataset and the indicated amounts in the second dataset; and

produce data identifying each household member who participated in the survey and data representing the determined amount of the activity carried out by each respective household member.

68. The system of claim 67, wherein the first study comprises automatically recording a total amount of usage of the Internet by the household, and the second study comprises a survey asking each of the household members how much Internet usage the respective member carried out during the predetermined period of time;

and the processor is operative to produce data representing an amount of Internet usage of each member participating in the survey.

69. The system of claim 68, wherein the processor is operative to produce, for each of the household members who participated in the survey, data representing an amount of Internet usage thereby based on data representing an amount of Internet usage thereof from the second dataset multiplied by the total amount of usage identified in the first dataset divided by a sum of all of the household members reported usage in the second dataset.

70. A system for preparing a media and/or market research report from data included in a dataset of media and/or market research data, the dataset including data records each pertaining to a corresponding participant in a media and/or market research activity and including participant related data representing at least one of the corresponding participant'"'"'s attributes, comprising:

at least one input receiving characteristics data defining a set of the participants to include in a media and/or market research report;

the at least one input receiving behavior data defining a set of media usage activities, media exposure activities and/or market activities to include in the media and/or market research report; and

a processor coupled to the at least one input and operative to;

access data records from the dataset based on at least one of the characteristics data and the behavior data; and

produce a media and/or market research report using data included in the accessed data records based on the characteristics data and the behavior data.

71. The system of claim 70, wherein the characteristics data includes a characteristics time period and the behavior data includes a behavior time period;

and the processor is operative to access data records in accordance with the characteristic and behavior time periods.

72. The system of claim 70, wherein the processor is operative to select records pertaining to participants in the media and/or market research activity who correspond to the provided characteristics data, and to access the selected records based upon the provided behavior data.

73. The system of claim 70, wherein the processor is operative to select at least one of a plurality of datasets available for selection, the selected dataset including data records pertinent to at least one of the provided characteristics data and the provided behavior data.

74. A system for producing a report from datasets containing data representative of results of media usage, media exposure and/or market research studies, comprising:

at least one input for receiving a first dataset including data representative of at least a first activity of participants in a first study;

the at least one input receiving a second dataset including data representative of at least a second activity of participants in a second study;

the at least one input receiving an identified characteristic for use in generating a report, the characteristic being one of the first activity and the second activity;

the at least one input receiving an identified behavior for use in generating the report, the behavior being the other of the first activity and the second activity; and

a processor coupled to the at least one input and operative to;

select participants for inclusion in the report based upon participants who carried out the identified characteristic; and

include data in the report representing the identified behavior of the selected participants.

75. The system of claim 74, wherein the data of the first dataset represents exposure to an advertisement advertising a product or service;

the data of the second dataset represents a purchase of the product or service advertised by the advertisement; and

the processor is operative to correlate exposure to the advertisement with the purchase of the product or service.

76. The system of claim 74, wherein the processor is operative to select participants irrespective of levels of compliance of participants in the study measuring the activity corresponding to the behavior.

77. The system of claim 74, wherein the first study spans a first period of time and the second study spans a second period of time different from the first period of time.

78. The system of claim 77, wherein the processor is operative to select participants who carried out the identified characteristic within the period of time of the study measuring the activity corresponding to the characteristic.

79. The system of claim 77, wherein the processor is operative to weight data representative of the identified behavior of the selected participants based upon the period of time of the study measuring the activity corresponding to the behavior.

80. The system of claim 77, wherein the processor is operative to apply, to the identified behavior of each of the selected participants, a respective single weight to compensate for different levels of compliance of the participants included in the report over the period of time of the study measuring the activity corresponding to the behavior.

81. A system for producing a report from datasets containing data representative of results of studies measuring different activity, comprising:

at least one input for receiving data from a plurality of datasets each including data representative of activity of participants in a respective study;

the at least one input receiving an identified characteristic for use in generating a report; and

a processor coupled to the at least one input and operative to;

select a first dataset from the plurality of datasets measuring activity of participants in the respective study corresponding to the identified characteristic for use in generating the report;

select for inclusion in the report participants in the selected first dataset who, as indicated by the data of the first selected dataset, carried out the identified characteristic;

identify a behavior to integrate with the identified characteristic;

select a second dataset from the plurality of datasets measuring activity of participants in the respective study corresponding to the identified behavior, the participants in the study corresponding to the selected first dataset also being participants in the study corresponding to the selected second dataset; and

produce a report including data representative of the participants selected for inclusion in the report and data representative of the activity of the participants selected for inclusion measured in the study corresponding to the selected second dataset.

82. The system of claim 81, wherein the processor is operative to weight the data representative of the activity measured in the study corresponding to the second selected dataset based upon a period of time of the study corresponding to the second selected dataset.

83. The system of claim 81, wherein the selected second dataset includes data representative of measured activity of participants resulting from at least two measures pertaining to the activity;

the processor being operative to apply, to the measured activity of each of the participants, a respective single weight to compensate for different levels of compliance of the participants corresponding to the at least two measures.

84. The system of claim 83, wherein the single weight applied to the measured activity of each of the participants is a function of an inverse of a combination of levels of compliance of the respective participant corresponding to the at least two measures.

85. A system for weighting a dataset containing data representative of results of a study measuring activity of a plurality of participants, comprising:

at least one input for receiving a dataset containing data representative of results of a study measuring activity of a plurality of participants;

the at least one input receiving a designated behavior; and

a processor coupled to the at least one input and operative to;

produce, for each of the participants, a single weighting factor based upon a total period of time of the study measuring the activity corresponding to the designated behavior; and

weight the data representative of the measured activity of each of the participants in accordance with the respective single weighting factor.

86. The system of claim 85, wherein the processor is operative to ascertain, for each of the participants, the single weighting factor to compensate for different levels of compliance of the participants over the total period of time of the study.