Patents by Inventor Greg Collison
Greg Collison has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 10949873Abstract: Systems and methods are disclosed for enabling incremental reach for an advertising campaign, across multiple screens/channels. In some embodiments, a base TV/media plan is uploaded, and targeted exposed viewers are monitored. Unexposed target viewers are identified. Additional media channels that unexposed viewers use are found. Unexposed viewers are matched with pricing and media avails from one or more media directories. Media avails are then analyzed along with incremental on-target impressions. Targeted avails for unexposed viewers are then determined, based on lowest incremental cost and largest incremental reach are added to a current cross-screen plan. An analysis to find new unexposed viewers is then re-run to determine the next-most cost effective avails. The above steps are repeated or looped until a selected advertisement budget has been allocated. User interface embodiments for these methods are also disclosed.Type: GrantFiled: June 12, 2019Date of Patent: March 16, 2021Assignee: ADOBE INC.Inventors: Antoine Barbier, Greg Collison, Albert Lim, Nikhil Belsare, Alexander R. Hood
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Patent number: 10798465Abstract: The present disclosure relates to a content campaign system that improves the design and implementation of content campaigns. In particular, the content campaign system can receive television viewer information corresponding to television client devices and online activity information corresponding to client computing devices. Further, the content campaign system can identify a correspondence between the television viewer information and the online activity information for individual users and/or households. Based on the correspondence, the content campaign system can automatically generate targeting parameters for audiovisual content campaigns. For example, the content campaign system can recommend audiovisual content (e.g., a television advertisement) to provide to a target audience of users via a television broadcast based on the correlated television viewer information and online activity information of a particular user.Type: GrantFiled: August 10, 2017Date of Patent: October 6, 2020Assignee: ADOBE INC.Inventors: Jason Lopatecki, John Hughes, Greg Collison
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Patent number: 10531163Abstract: Systems and methods are disclosed for planning, executing, reviewing, and reporting the results of an advertising campaign to be run on TV. A demand-side platform receives ad slot opportunities from TV programming sources, and analyzes the ad slots to produce a prioritized list of placement opportunities for the advertising campaign to be presented to advertiser/clients. Each ad slot is analyzed with respect to past viewership data and with respect to desired targeting characteristics that may include conventional age and gender targeting, or additionally strategic targeting characteristics. Scores are established for each ad slot with respect to numbers of projected on-target impressions and/or a cost for projected on-target impressions. The scores are sorted to produce the prioritized list. Projected results can be viewed with respect to any or all of network, day, and daypart. After a campaign has completed, viewership data representing actual results is acquired, processed, and reported.Type: GrantFiled: February 19, 2019Date of Patent: January 7, 2020Assignee: Adobe Inc.Inventors: Alexander R. Hood, Jason Lopatecki, Justin K. Sung, Greg Collison, David Innes-Gawn
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Patent number: 10445765Abstract: Systems and methods are disclosed for enabling incremental reach for an advertising campaign, across multiple screens/channels. In some embodiments, a base TV/media plan is uploaded, and targeted exposed viewers are monitored. Unexposed target viewers are identified. Additional media channels that unexposed viewers use are found. Unexposed viewers are matched with pricing and media avails from one or more media directories. Media avails are then analyzed along with incremental on-target impressions. Targeted avails for unexposed viewers are then determined, based on lowest incremental cost and largest incremental reach are added to a current cross-screen plan. An analysis to find new unexposed viewers is then re-run to determine the next-most cost effective avails. The above steps are repeated or looped until a selected advertisement budget has been allocated. User interface embodiments for these methods are also disclosed.Type: GrantFiled: September 30, 2016Date of Patent: October 15, 2019Assignee: ADOBE INC.Inventors: Antoine Barbier, Greg Collison, Albert Lim, Nikhil Belsare, Alexander R. Hood
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Patent number: 10445766Abstract: Systems and methods are disclosed for enabling incremental reach for an advertising campaign, across multiple screens/channels. In some embodiments, a base TV/media plan is uploaded, and targeted exposed viewers are monitored. Unexposed target viewers are identified. Additional media channels that unexposed viewers use are found. Unexposed viewers are matched with pricing and media avails from one or more media directories. Media avails are then analyzed along with incremental on-target impressions. Targeted avails for unexposed viewers are then determined, based on lowest incremental cost and largest incremental reach are added to a current cross-screen plan. An analysis to find new unexposed viewers is then re-run to determine the next-most cost effective avails. The above steps are repeated or looped until a selected advertisement budget has been allocated. User interface embodiments for these methods are also disclosed.Type: GrantFiled: September 30, 2016Date of Patent: October 15, 2019Assignee: ADOBE INC.Inventors: Antoine Barbier, Greg Collison, Albert Lim, Nikhil Belsare, Alexander R. Hood
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Publication number: 20190303964Abstract: Systems and methods are disclosed for enabling incremental reach for an advertising campaign, across multiple screens/channels. In some embodiments, a base TV/media plan is uploaded, and targeted exposed viewers are monitored. Unexposed target viewers are identified. Additional media channels that unexposed viewers use are found. Unexposed viewers are matched with pricing and media avails from one or more media directories. Media avails are then analyzed along with incremental on-target impressions. Targeted avails for unexposed viewers are then determined, based on lowest incremental cost and largest incremental reach are added to a current cross-screen plan. An analysis to find new unexposed viewers is then re-run to determine the next-most cost effective avails. The above steps are repeated or looped until a selected advertisement budget has been allocated. User interface embodiments for these methods are also disclosed.Type: ApplicationFiled: June 12, 2019Publication date: October 3, 2019Inventors: Antoine Barbier, Greg Collison, Albert Lim, Nikhil Belsare, Alexander R. Hood
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Publication number: 20190191223Abstract: Systems and methods are disclosed for planning, executing, reviewing, and reporting the results of an advertising campaign to be run on TV. A demand-side platform receives ad slot opportunities from TV programming sources, and analyzes the ad slots to produce a prioritized list of placement opportunities for the advertising campaign to be presented to advertiser/clients. Each ad slot is analyzed with respect to past viewership data and with respect to desired targeting characteristics that may include conventional age and gender targeting, or additionally strategic targeting characteristics. Scores are established for each ad slot with respect to numbers of projected on-target impressions and/or a cost for projected on-target impressions. The scores are sorted to produce the prioritized list. Projected results can be viewed with respect to any or all of network, day, and daypart. After a campaign has completed, viewership data representing actual results is acquired, processed, and reported.Type: ApplicationFiled: February 19, 2019Publication date: June 20, 2019Inventors: Alexander R. Hood, Jason Lopatecki, Justin K. Sung, Greg Collison, David Innes-Gawn
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Patent number: 10250951Abstract: Systems and methods are disclosed for planning, executing, reviewing, and reporting the results of an advertising campaign to be run on TV. A demand-side platform receives ad slot opportunities from TV programming sources, and analyzes the ad slots to produce a prioritized list of placement opportunities for the advertising campaign to be presented to advertiser/clients. Each ad slot is analyzed with respect to past viewership data and with respect to desired targeting characteristics that may include conventional age and gender targeting, or additionally strategic targeting characteristics. Scores are established for each ad slot with respect to numbers of projected on-target impressions and/or a cost for projected on-target impressions. The scores are sorted to produce the prioritized list. Projected results can be viewed with respect to any or all of network, day, and daypart. After a campaign has completed, viewership data representing actual results is acquired, processed, and reported.Type: GrantFiled: May 19, 2015Date of Patent: April 2, 2019Assignee: ADOBE INC.Inventors: Alexander R. Hood, Jason Lopatecki, Justin K. Sung, Greg Collison, David Innes-Gawn
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Patent number: 10085074Abstract: Systems and methods are disclosed for planning, executing, reviewing, and reporting the results of an advertising campaign to be run on TV. A demand-side platform receives ad slot opportunities from TV programming sources, and analyzes the ad slots to produce a prioritized list of placement opportunities for the advertising campaign to be presented to advertiser/clients. Each ad slot is analyzed with respect to past viewership data and with respect to desired targeting characteristics that may include conventional age and gender targeting, or additionally strategic targeting characteristics. Scores are established for each ad slot with respect to numbers of projected on-target impressions and/or a cost for projected on-target impressions. The scores are sorted to produce the prioritized list. Projected results can be viewed with respect to any or all of network, day, and daypart. After a campaign has completed, viewership data representing actual results is acquired, processed, and reported.Type: GrantFiled: October 19, 2016Date of Patent: September 25, 2018Assignee: ADOBE SYSTEMS INCORPORATEDInventors: Alexander R. Hood, Jason Lopatecki, Justin K. Sung, Greg Collison, David Innes-Gawn
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Publication number: 20180084308Abstract: The present disclosure relates to a content campaign system that improves the design and implementation of content campaigns. In particular, the content campaign system can receive television viewer information corresponding to television client devices and online activity information corresponding to client computing devices. Further, the content campaign system can identify a correspondence between the television viewer information and the online activity information for individual users and/or households. Based on the correspondence, the content campaign system can automatically generate targeting parameters for audiovisual content campaigns. For example, the content campaign system can recommend audiovisual content (e.g., a television advertisement) to provide to a target audience of users via a television broadcast based on the correlated television viewer information and online activity information of a particular user.Type: ApplicationFiled: August 10, 2017Publication date: March 22, 2018Inventors: Jason Lopatecki, John Hughes, Greg Collison
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Publication number: 20170055043Abstract: Systems and methods are disclosed for planning, executing, reviewing, and reporting the results of an advertising campaign to be run on TV. A demand-side platform receives ad slot opportunities from TV programming sources, and analyzes the ad slots to produce a prioritized list of placement opportunities for the advertising campaign to be presented to advertiser/clients. Each ad slot is analyzed with respect to past viewership data and with respect to desired targeting characteristics that may include conventional age and gender targeting, or additionally strategic targeting characteristics. Scores are established for each ad slot with respect to numbers of projected on-target impressions and/or a cost for projected on-target impressions. The scores are sorted to produce the prioritized list. Projected results can be viewed with respect to any or all of network, day, and daypart. After a campaign has completed, viewership data representing actual results is acquired, processed, and reported.Type: ApplicationFiled: October 19, 2016Publication date: February 23, 2017Inventors: Alexander R. Hood, Jason Lopatecki, Justin K. Sung, Greg Collison, David Innes-Gawn
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Patent number: 9501783Abstract: Systems and methods are disclosed for planning, executing, reviewing, and reporting the results of an advertising campaign to be run on TV. A demand-side platform receives ad slot opportunities from TV programming sources, and analyzes the ad slots to produce a prioritized list of placement opportunities for the advertising campaign to be presented to advertiser/clients. Each ad slot is analyzed with respect to past viewership data and with respect to desired targeting characteristics that may include conventional age and gender targeting, or additionally strategic targeting characteristics. Scores are established for each ad slot with respect to numbers of projected on-target impressions and/or a cost for projected on-target impressions. The scores are sorted to produce the prioritized list. Projected results can be viewed with respect to any or all of network, day, and daypart. After a campaign has completed, viewership data representing actual results is acquired, processed, and reported.Type: GrantFiled: May 19, 2015Date of Patent: November 22, 2016Assignee: TubeMogul, Inc.Inventors: Alexander R. Hood, Jason Lopatecki, Justin K. Sung, Greg Collison, David Innes-Gawn
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Publication number: 20160117719Abstract: Systems and methods are disclosed for planning, executing, reviewing, and reporting the results of an advertising campaign to be run on TV. A demand-side platform receives ad slot opportunities from TV programming sources, and analyzes the ad slots to produce a prioritized list of placement opportunities for the advertising campaign to be presented to advertiser/clients. Each ad slot is analyzed with respect to past viewership data and with respect to desired targeting characteristics that may include conventional age and gender targeting, or additionally strategic targeting characteristics. Scores are established for each ad slot with respect to numbers of projected on-target impressions and/or a cost for projected on-target impressions. The scores are sorted to produce the prioritized list. Projected results can be viewed with respect to any or all of network, day, and daypart. After a campaign has completed, viewership data representing actual results is acquired, processed, and reported.Type: ApplicationFiled: May 19, 2015Publication date: April 28, 2016Inventors: Alexander R. Hood, Jason Lopatecki, Justin K. Sung, Greg Collison, David Innes-Gawn
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Publication number: 20160117718Abstract: Systems and methods are disclosed for planning, executing, reviewing, and reporting the results of an advertising campaign to be run on TV. A demand-side platform receives ad slot opportunities from TV programming sources, and analyzes the ad slots to produce a prioritized list of placement opportunities for the advertising campaign to be presented to advertiser/clients. Each ad slot is analyzed with respect to past viewership data and with respect to desired targeting characteristics that may include conventional age and gender targeting, or additionally strategic targeting characteristics. Scores are established for each ad slot with respect to numbers of projected on-target impressions and/or a cost for projected on-target impressions. The scores are sorted to produce the prioritized list. Projected results can be viewed with respect to any or all of network, day, and daypart. After a campaign has completed, viewership data representing actual results is acquired, processed, and reported.Type: ApplicationFiled: May 19, 2015Publication date: April 28, 2016Inventors: Alexander R. Hood, Jason Lopatecki, Justin K. Sung, Greg Collison, David Innes-Gawn