A system that handles delivery of service(s) through a client device, includes an interactive service provider, a video service provider, and a client device. The interactive service provider inserts at least one of digital watermarks and digital fingerprints in non-programming media content. The video service provider transmits a media stream of the media content that includes programming media content and the non-programming media content. The client device detects at least one of the inserted digital watermarks and the digital fingerprints in the playback duration of the media content and renders overlay graphics on the media content. The client device activates at least one of input devices paired with the client device and the rendered overlay graphics. The client device further receives trigger responses over activated overlay graphics and displays an interactive view to enable delivery of service(s) in response to the trigger responses.

A method of optimizing a customer engagement includes communicating with a plurality of data providers to acquire information associated with a customer's computer-trackable use of one or more computing devices. The method additionally includes, for each customer, acquiring data associated with availability events in the information, processing the acquired data including applying a weighting factor during the processing, and calculating a weighted availability score for the customer. The method further includes generating an availability list including the weighted availability score of each customer, combining a weighted business logic score for each customer with the customer weighted availability score in the availability list, generating a ranking list wherein a plurality of customers are ranked by the combined business logic score and weighted availability score of each customer, transferring the ranking list to a customer engagement system for engaging with each customer according to their ranking order on the ranking list, and acquiring from the customer engagement system engagement data associated with the engaging for each customer in the plurality of customers.

An approach for creating dynamic content. The approach receives advertiser data associated with activities of one or more advertisers and receives publisher data associated with activities of one or more publishers. The approach manages the one or more DSPs activities associated with the received advertiser data and publisher data. Furthermore, the approach manages the one or more SSPs activities associated with the received advertiser data, publisher data and the one or more DSPs activities and selects one or more advertisement for one or more website. Finally, the approach manages the one or more consumer behaviors associated with the selected one or more advertisement.

Systems and methods are provided for determining a media cost equivalent to attribute to the appearance of a sponsor's logo or other object in a media item, such as an image or video. This determination may be based on factors such as clarity, prominence, visibility, size, or placement of a sponsor logo or other object related to the sponsor within at least one media item. One or more machine learning models may be utilized to automatically identify objects within, and otherwise analyze, image data in order to determine sponsor value.

A method for retargeting in a system including a plurality of vehicles having exteriors configured to convey messaging to occupants of other vehicles. Communication signals including information relating to time-stamped locations of the vehicles are received. Time-stamped location data including a first plurality of the time-stamped locations is provided to a mobile location data aggregator. A first set of anonymized identifiers associated with mobile device users known to be within exposure zones associated with the time-stamped locations is received from the mobile data aggregator. The first set of anonymized identifiers is provided to an audience data service provider, which returns other anonymized identifiers associated with the first set of anonymized identifiers. An augmented exposed audience is formed by adding the other anonymized identifiers to the first set of anonymized identifiers. Advertisements are caused to be provided to devices corresponding to at least a subset of the augmented exposed audience.

Disclosed is delivering and closing out viewership priced spots in zoned cable delivery of linear TV, assembling past measured viewership data within a zone for a TV spot in a program, by aggregating records and augmenting aggregated logs with viewers' demographic data. This includes running an automated auction for advertising, at five minutes or less before airtime, announcing the spot, providing the past viewership data augmented with demographic data, with bids accepted for a rate, accepting and selecting a winning bid, provisioning an ad corresponding to the winning bid rate for an operator to deliver to the zone, after selecting the bid and before the airtime. After airing the ad, included is processing collected delivery logs within ten minutes of receipt, calculating current measured viewership during the spot, calculating an extended price, and reporting to a winning bidder the extended price, within six hours of airing the ad.

Information regarding display of selected content items in assigned slots is provided. The information is based on a selected template that includes areas for groups of slots for related content items, such as content items that are targeted to a common targeting object. Candidate content items, identified based on targeting or other distribution information, are assigned to selected slots to determine at least part of the information regarding display of the selected content items.

A system can perform certain acts. The acts can include determining score values to identify a plurality of target customers associated with a plurality of potential offers. The acts can include receiving bids from the plurality of target customers for the plurality of potential offers. The acts can include performing an iterative process for each respective target customer of the plurality of target customers to take turns to submit a respective bid for each respective potential offer of the plurality of potential offers associated with the respective target customer. The acts can include determining a respective final bid for each of the plurality of potential offers such that an aggregate value for the plurality of target customers that can be maximized across the plurality of potential offers. The acts can include sending instructions to deliver the plurality of offers to at least a portion of the plurality of target customers.

Methods, systems, and media for enhancing a blind URL escrow with real-time bidding exchanges are provided. In some embodiments, the method comprises: receiving, using a hardware processor, a URL associated with an advertisement placement from a seller; generating a rating for the URL received from the seller; determining metadata based on the URL and a domain name associated with the seller; generating an anonymous label corresponding to the URL that includes the generated rating and the determined metadata; transmitting the anonymous label to a real-time bidding exchange; and causing a verification beacon to be inserted into an advertisement to be displayed in the advertisement placement in response to a buyer purchasing an opportunity to place an advertisement in the advertisement placement using the anonymous label through the real-time bidding exchange.

An online system selecting content items for presentation to its users accounts for likelihoods of users performing actions associated with content items when selecting content items. The online system maintains models determining likelihoods of users performing various actions. If a content item is associated with an action that infrequently occurs, information for determining the model for the action is limited, so the online system increases a bid amount associated with the content item during a time interval to an amount based on a likelihood of the user performing a more frequently occurring alternative action and an average bid amount for the alternative action from content items previously presented to users. The online system also determines an amount based on the model for the action and the bid amount for during the time interval and stops increasing the bid amount when the rate of change has less than a threshold magnitude.