Methods and apparatus to generate a media rank

• US 10,083,459 B2
• Filed: 09/30/2014
• Issued: 09/25/2018
• Est. Priority Date: 02/11/2014
• Status: Active Grant

• Current Assignee: The Nielsen Company LLC (MOOD Media Corporation)
• Original Assignee: The Nielsen Company LLC (MOOD Media Corporation)
• Inventors: Satyamoorthy, Subramaniam, Breedlove, Sean C., Fischer, Robert J., Wood, Leslie, Fisch, Perry J., Spaulding, Carleton W.
• Primary Examiner(s): Sittner, Matthew T
• Application Number:
  US14/501,821
• Publication Number:
  US 20150227966A1
• Time in Patent Office: 1,456 Days
• Field of Search: None
• CPC Class Codes: G06Q 30/0243 Comparative campaigns
• CPC Class Codes: G06Q 30/0246 Traffic

Abstract

Methods, apparatus, systems and articles of manufacture are disclosed to generate a media rank. An example disclosed method includes (a) identifying households in which the product of interest was purchased, (b) calculating consumption factors for respective ones of the households based on a consumption total of the product of interest for the corresponding household and a household weight, (c) selecting first candidate media of interest, (d) calculating a rating value indicative of a relevance of the product of interest to the candidate media of interest based on the mathematical product of the consumption factor and a viewing time for corresponding ones of the households, (e) repeating (c) and (d) for second media, and (f) ranking the first and second media for the product of interest.

Claims

1. A computer-implemented method to reduce a media selection error for a product of interest, comprising:

(a) identifying, by executing an instruction with a processor, households from a measurement sample for which the product of interest was purchased, the measurement sample retrieved from a panelist consumption database via a network;

(b) reducing the media selection error by executing an instruction with the processor to calculate first consumption factors for corresponding ones of the households based on a first consumption total of the product of interest for the corresponding ones of the households for which the product of interest was purchased and corresponding household weights, the first consumption factors not restricted by targeted demographics;

(c) selecting, by executing an instruction with the processor, first media;

(d) calculating, by executing an instruction with the processor, a first rating value indicative of a relevance of the product of interest to the first media based on a ratio of (1) a mathematical product of the first consumption factors for the corresponding ones of the households and viewing minutes of the first media for the corresponding ones of the households and (2) a mathematical product of second consumption factors of the measurement sample and total viewing minutes of the first media by all households of the measurement sample, the second consumption factors indicative of a second consumption total of the product of interest for all households of the measurement sample;

(e) repeating, by executing an instruction with the processor, (c) and (d) for second media, the second media associated with a second rating value;

(f) causing a selection of the first media or the second media without erroneous discretion, by executing an instruction with the processor, based on ranking the first and second rating values of the first and second media for the product of interest; and

(g) generating, by executing an instruction with the processor, an overall rating index associated with the first media based on a sum total of respective first and second rating values from the corresponding ones of the households, the overall rating index to facilitate a relative rank of the first media with the second media.

2. The method as defined in claim 1, further including accumulating a sum of purchasing instances for the product of interest during an evaluation period.

3. The method as defined in claim 1, wherein the second consumption factors include the second consumption total based on a dollar amount purchased of the product of interest.

4. The method as defined in claim 3, wherein the second consumption total includes a dollar purchasing value.

5. The method as defined in claim 1, wherein the first consumption factors include the first consumption total based on a number of trips made by a panelist of a corresponding household for the product of interest.

6. The method as defined in claim 1, wherein the first consumption factors include the first consumption total based on a number of units purchased by a panelist of a corresponding household for the product of interest.

7. An apparatus to reduce a media selection error for a product of interest, comprising:

a product data manager to identify households from a measurement sample for which the product of interest was purchased, the measurement sample retrieved from a panelist consumption database via a network;

a volumetric engine to reduce the media selection error by calculating first consumption factors for corresponding ones of the households based on a first consumption total of the product of interest for the corresponding ones of the households for which the product of interest was purchased and corresponding household weights, the first consumption factors not restricted by targeted demographics;

an exposure data manager to select first media; and

a rating engine to;

calculate a first rating value indicative of a relevance of the product of interest to the first media based on a ratio of (a) a mathematical product of the first consumption factors for the corresponding ones of the households and viewing minutes of the first media for the corresponding ones of the households and (b) a mathematical product of second consumption factors of the measurement sample and total viewing minutes of the first media by all households of the measurement sample, the second consumption factors indicative of a second consumption total of the product of interest for all households of the measurement sample;

cause a selection of the first media or second media without erroneous discretion by repeating the selecting and calculating for the second media to facilitate ranking of the first and the second media for the product of interest; and

generate an overall rating index associated with the first media based on a sum total of respective first and second rating values from the corresponding ones of the households, the overall rating index to facilitate a relative rank of the first media with the second media.

8. The apparatus as defined in claim 7, wherein the product data manager is to accumulate a sum of purchasing instances for the product of interest during an evaluation period.

9. The apparatus as defined in claim 7, wherein the product data manager is to identify the second consumption total based on a dollar amount purchased of the product of interest.

10. The apparatus as defined in claim 9, wherein the product data manager is to identify a dollar purchasing value.

11. The apparatus as defined in claim 7, wherein the product data manager is to identify the first consumption total based on a number of trips made by a panelist of a corresponding household for the product of interest.

12. The apparatus as defined in claim 7, wherein the product data manager is to identify the first consumption total based on a number of units purchased by a panelist of a corresponding household for the product of interest.

13. A non-transitory machine readable storage medium comprising machine accessible instructions that, when executed, cause a machine to, at least:

(a) identify households from a measurement sample for which a product of interest was purchased, the measurement sample retrieved from a panelist consumption database via a network;

(b) reduce a media selection error by calculating first consumption factors for corresponding ones of the households based on a first consumption total of the product of interest for the corresponding ones of the households for which the product of interest was purchased and corresponding household weights, the first consumption factors not restricted by targeted demographics;

(c) select first media;

(d) calculate a first rating value indicative of a relevance of the product of interest to the first media based on a ratio of (1) a mathematical product of the first consumption factors for the corresponding ones of the households and viewing minutes of the first media for the corresponding ones of the households and (2) a mathematical product of second consumption factors of the measurement sample and total viewing minutes of the first media by all households of the measurement sample, the second consumption factors indicative of a second consumption total of the product of interest for all households of the measurement sample;

(e) repeat (c) and (d) for second media, the second media associated with a respective second rating value;

(f) cause a selection of the first media or the second media without erroneous discretion based on a rank of the first and second rating values of the first and second media for the product of interest; and

(g) generate an overall rating index associated with the first media based on a sum total of respective first and second rating values from the corresponding ones of the households, the overall rating index to facilitate a relative rank of the first media with the second media.

14. The machine readable storage medium as defined in claim 13, wherein the machine readable instructions, when executed, cause the machine to accumulate a sum of purchasing instances for the product of interest during an evaluation period.

15. The machine readable storage medium as defined in claim 13, wherein the machine readable instructions, when executed, cause the machine to identify the second consumption total based on a dollar amount purchased of the product of interest.

16. The machine readable storage medium as defined in claim 13, wherein the machine readable instructions, when executed, cause the machine to identify the first consumption total based on a number of trips made by a panelist of a corresponding household for the product of interest.

17. The machine readable storage medium as defined in claim 13, wherein the machine readable instructions, when executed, cause the machine to identify the first consumption total based on a number of units purchased by a panelist of a corresponding household for the product of interest.