Method and apparatus for managing advertising

• US 9,736,519 B2
• Filed: 07/22/2015
• Issued: 08/15/2017
• Est. Priority Date: 10/12/2012
• Status: Active Grant

• Current Assignee: AT&T Intellectual Property I LP (AT&T, Inc.)
• Original Assignee: AT&T Intellectual Property I LP (AT&T, Inc.)
• Inventors: Balakrishnan, Suhrid, Applegate, David Lee, Chopra, Sumit, Urbanek, Simon
• Primary Examiner(s): MENGESHA, MULUGETA A
• Application Number:
  US14/805,558
• Publication Number:
  US 20150326905A1
• Time in Patent Office: 755 Days
• Field of Search: 705 144, 705 1446, 705 1471, 725 14, 725 34- 36
• CPC Class Codes: G06Q 30/0244 Optimization
• CPC Class Codes: H04N 21/2407 Monitoring of transmitted content, e.g. distribution time, number of downloads arrangements for monitoring programmes for broadcast or for distribution combined with broadcast H04H20/14
• CPC Class Codes: H04N 21/252 Processing of multiple end-users' preferences to derive collaborative data
• CPC Class Codes: H04N 21/25435 involving characteristics of content or additional data, e.g. video resolution or the amount of advertising
• CPC Class Codes: H04N 21/2668 Creating a channel for a dedicated end-user group, e.g. insertion of targeted commercials based on end-user profiles information retrieval from the Internet by querying with filtering and personalisation G06F16/9535; arrangements for replacing or switching information during the broadcast H04H20/10; push services over packet-switching network H04L12/1859; adaptation of message content in packet-switching networks H04L51/063
• CPC Class Codes: H04N 21/433 Content storage operation, e.g. storage operation in response to a pause request, caching operations
• CPC Class Codes: H04N 21/44224 Monitoring of user activity on external systems, e.g. Internet browsing
• CPC Class Codes: H04N 21/6582 Data stored in the client, e.g. viewing habits, hardware capabilities, credit card number arrangements where receivers interact with the broadcast H04H20/38
• CPC Class Codes: H04N 21/812 involving advertisement data advertising per se G06Q30/02

Abstract

A system that incorporates teachings of the subject disclosure may include, for example, determining identified impressions that are detected from consumption data collected from a group of media processors where the identified impressions represent viewing of selected content and where the consumption data indicates channel tuning events at the group of media processors including changing of channels, applying a ridge regression analysis to the identified impressions to determine a predicted number of target impressions per advertisement slot, and generating a media plan based on a ratio of an advertisement slot cost to the predicted number of target impressions per advertisement slot. Other embodiments are disclosed.

Claims

1. A device, comprising:

a processing system including a processor; and

a memory that stores instructions that, when executed by the processing system, facilitate performance of operations comprising;

obtaining consumption data associated with a group of media devices, the consumption data relating to media content provided by equipment of a service provider;

detecting identified impressions from the consumption data;

determining campaign criteria associated with an advertising campaign;

responsive to the campaign criteria including a reach criterion, predicting a number of slot impressions based on the identified impressions and using fractional reach analysis; and

generating a media plan based on a ratio of an advertisement slot cost to the predicted number of slot impressions per advertisement slot, wherein the media plan specifies program channels and time slots for placing advertisements; and

directing an advertiser to place the advertisements in accordance with the media plan.

2. The device of claim 1, wherein the fractional reach analysis comprises applying a greedy heuristic to the identified impressions.

3. The device of claim 1, wherein the consumption data indicates channel tuning events at a media device of the group of media devices including changing of channels presenting broadcast content.

4. The device of claim 3, wherein the identified impressions are detected from the consumption data by determining whether a media device of the group of media devices was tuned to a channel for more than a first threshold time period and less than a second threshold time period.

5. The device of claim 3, wherein the channel tuning events comprise changing of volume by a media device of the group of media devices.

6. The device of claim 3, wherein the channel tuning events comprise a pause operation, a fast-forward operation, or a rewind operation relating to the broadcast content.

7. The device of claim 1, wherein the consumption data is collected locally by each of the media devices and periodically obtained from the media devices.

8. The device of claim 1, wherein the identified impressions comprise impression data, and wherein the operations further comprise aggregating the impression data for the group of media devices over a selected time period.

9. The device of claim 1, wherein the campaign criteria are established by the service provider, an advertiser, or a combination thereof.

10. A non-transitory machine-readable storage medium comprising executable instructions that, when executed by a processing system including a processor, facilitate performance of operations comprising:

obtaining consumption data from a group of media devices, the consumption data relating to media content provided by equipment of a service provider;

detecting identified impressions from the consumption data;

determining campaign criteria associated with an advertising campaign, wherein the campaign criteria are established by the service provider, an advertiser, or a combination thereof;

responsive to the campaign criteria including a reach criterion, predicting a number of slot impressions based on the identified impressions and using fractional reach analysis, wherein the fractional reach analysis comprises applying a greedy heuristic to the identified impressions;

generating a media plan based on a ratio of an advertisement slot cost to the predicted number of slot impressions per advertisement slot, wherein the media plan specifies program channels and time slots for placing advertisements; and

directing an advertiser to place the advertisements in accordance with the media plan.

11. The non-transitory machine-readable storage medium of claim 10, wherein the consumption data indicates channel tuning events at a media device of the group of media devices including changing of channels presenting broadcast content.

12. The non-transitory machine-readable storage medium of claim 11, wherein the identified impressions are detected from the consumption data by determining whether a media device of the group of media devices was tuned to a channel for more than a first threshold time period and less than a second threshold time period.

13. The non-transitory machine-readable storage medium of claim 11, wherein the channel tuning events comprise changing of volume by a media device of the group of media devices.

14. The non-transitory machine-readable storage medium of claim 11, wherein the channel tuning events comprise a pause operation, a fast-forward operation, or a rewind operation relating to the broadcast content.

15. The non-transitory machine-readable storage medium of claim 10, wherein the identified impressions comprise impression data, and wherein the operations further comprise aggregating the impression data for the group of media devices over a selected time period.

16. A method comprising:

obtaining, by a processing system including a processor, consumption data from a group of media devices;

detecting, by the processing system, identified impressions from the consumption data;

determining, by the processing system, campaign criteria associated with an advertising campaign;

responsive to the campaign criteria including a reach criterion, predicting, by the processing system, a number of slot impressions based on the identified impressions and using fractional reach analysis, wherein the fractional reach analysis comprises applying a greedy heuristic to the identified impressions; and

generating, by the processing system, a media plan based on a ratio of an advertisement slot cost to the predicted number of slot impressions per advertisement slot, wherein the media plan specifies program channels and time slots for placing advertisements; and

directing, by the processing system, an advertiser to place the advertisements in accordance with the media plan.

17. The method of claim 16, wherein the identified impressions are detected from the consumption data by determining whether a media device of the group of media devices was tuned to a channel for more than a first threshold time period and less than a second threshold time period.

18. The method of claim 16, wherein the consumption data comprise data relating to media content provided by equipment of a service provider, and wherein the campaign criteria are established by the service provider, an advertiser, or a combination thereof.

19. The method of claim 18, further comprising inserting, by the processing system, advertisements into the media content according to the media plan.

20. The method of claim 16, wherein the identified impressions comprise impression data, and further comprising aggregating, by the processing system, the impression data for the group of media devices over a selected time period.