The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 11, 2023

Filed:

Sep. 24, 2021
Applicant:

Palantir Technologies Inc., Denver, CO (US);

Inventors:

Amanda Held, Los Angeles, CA (US);

David Kinsella, San Francisco, CA (US);

David Montague, East Palo Alto, CA (US);

Michael Fink, Menlo Park, CA (US);

Taylor Gregoire-Wright, Palo Alto, CA (US);

Assignee:

Palantir Technologies Inc., Denver, CO (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/02 (2012.01); G06Q 30/0241 (2023.01); G06F 3/0482 (2013.01); G06Q 30/0251 (2023.01); G06Q 30/0202 (2023.01);
U.S. Cl.
CPC ...
G06Q 30/0247 (2013.01); G06F 3/0482 (2013.01); G06Q 30/0202 (2013.01); G06Q 30/0255 (2013.01);
Abstract

Various systems and methods for providing a tool to entities that determines the optimal usage of data items are disclosed. For example, the tool can generate a model that uses various characteristics to predict how likely it is that a viewer will watch (or listen to) the media program being promoted. The model can then determine an increase in revenue that would result from the assignment of a media promo using the predicted likelihood and subtracting a known opportunity cost from this determined revenue increase to determine a net revenue value. The model can repeat this determination for any number of viewers and aggregate the determined net revenue values to generate an aggregated net revenue value. The tool may include a user interface in which a content provider can adjust various variables to see how adjusting one or more variables affects the aggregated net revenue value.


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