A method for celebrity-based advertising includes storing, in a server, a likeness of subject and a corresponding booking that includes parameters outlining availability of the subject for digital advertising. The method further includes receiving or creating, by the server, a pitch that falls within the parameters of the booking, the pitch corresponding to the subject. The method further includes receiving, by the server and from a first user device, a first image of the likeness of the subject or another likeness of the subject. The method further includes determining, by the server, that the image matches the likeness of the subject. The method further includes transmitting, by the server, the pitch to the first user device to be output by the first user device.

The present invention discloses a method (300) and a system (100) for campaign pacing. The method (300) comprises receiving campaign data from a first device. The campaign data comprises information associated with a plurality of target users and a campaign message associated with a product. Further, the method (300) comprises analyzing the campaign message using an artificial intelligence technique. Upon analysis, the method (300) comprises determining a priority of the campaign message and a pacing rate of sending the campaign message based on the analysis of the campaign message. The method (300) further comprises transmitting the campaign message to a plurality of user devices (102, 202) associated with the plurality of target users based on the determined pacing rate via a communication channel (204).

A method may include obtaining an advertising campaign, determining one or more devices associated with a consumer, and associating the one or more devices with a consumer identifier. The method also includes obtaining data associated with the one or more devices associated and corresponding the data with the consumer identifier. The method also includes deduplicating the data related to the consumer identifier across one or more viewing methods. The method also includes displaying the deduplicated data. The method also includes adjusting the advertising campaign based on user input.

Various embodiments include methods performed by an access point (AP) and an electronic shelf label (ESL) for scheduling access point and electronic shelf label communication. In some embodiments, an AP may broadcast to one or more ESLs a periodic advertisement including scheduling information for an advertisement message (ADV) from the one or more ESLs, and receive the ADV from one or more of the ESLs according to the scheduling information. In some embodiments, an ESL may receive from an AP a periodic advertisement including scheduling information for an ADV from the ESL and transmit the ADV to the AP according to the scheduling information.

Methods and systems are provided herein for recommending a media asset based on a geographic location at which that media asset was frequently consumed. For example, the system may monitor a location, such as New York City or Times Square, to determine popular media assets watched there, such as The Avengers, and when another user visits New York City, the system may then notify the user that the movie, such as The Avengers, is associated with New York City. The system stores the geographic locations associated with the media asset in the database based on the consumption of the media asset so that other users may be notified which media assets are associated with each geographic location.

A method that includes receiving a manifest for playing a media item, where the manifest comprises segment locator information for a content break (e.g., pre-roll, mid-roll, or post-roll content break) in the media item, the segment locator information for enabling the player to request a set of content break segments, the segment locator information comprising: i) a set of SIDs or ii) SID template information that can be used by the player to generate the set of SIDs, and the content break having a duration. The method also includes, after receiving the manifest, sending a content break information request for content break information regarding the content break. The method also includes receiving a response to the content break information request and, based on information included in the response to the content break information request, determining whether to shorten (e.g. skip playing a portion or portions of) the originally-intended content break.

Systems and methods for constraint-based optimization, comprising: an AI demand forecasting engine, an optimization engine, a user-defined objective, and a user-defined set of constraints. Using historical sales data, the AI demand forecasting engine generates a plurality of entities, each entity defined by a placement of an item in a promotion platform; and forecasts the objective associated with each entity. The optimization engine generates a plurality of plans, each plan consisting of a unique subset of entities. Plans that violate at least one constraint are eliminated by the optimization engine, leaving a set of candidate solutions. An optimum plan is selected from the set of candidate solutions based on maximization of the objective.

Systems and methods for the optimized allocation of content according to a schedule are described. In some embodiments, a system may be configured to modify a schedule file to replace broadcast content. The system may receive the schedule file indicating an identifier associated with content to be output during a slot associated with a time window in a broadcast event. The system may modify the schedule file to replace the identifier with a replacement identifier associated with replacement content. The system may transmit the broadcast event as a linear feed comprising the replacement content.

In accordance with some embodiments of the disclosed subject matter, methods, systems, and media for setting and using an advertisement frequency cap based on causal conversions or impact of advertisements are provided.

This disclosure relates to computer-implemented methods and systems for delivering engaging advertising campaigns composed of episodic advertisements. Each episodic advertisement represents a segment of a larger campaign progression, defined by multiple episodic advertisements presented in sequence. These advertisements are customized based on previous user interactions, enabling engaging storylines that respond to user choices. The system stores, manages, and dynamically selects subsequent episodes based on these interactions, employing storyline templates to serve interactive advertisements across multiple impressions.