System architecture and methods for enabling a client-side real-time auction of advertising inventory that works in conjunction with ad serving technologies. The method according to some embodiments of the present invention comprise: (i) an end-user visiting a web page wherein multiple advertisements are displayed, (ii) for each ad unit on the page, multiple parallel requests are sent from the end-user's browser client to multiple real-time bidders who respond with a bid & advertisement for each unit, (iii) the bids are compared within the end-user's browser and the winning bid is sent to an ad serving system to be compared with other statically priced advertisements and exchange demand to determine the winning advertisements that will be displayed to the end-user and (iv) data is aggregated for each bid and price limits are set based on the aggregations.

According to one aspect of the present disclosure, there is provided a method, by an advertiser directory service, that includes: receiving search criteria comprising one or more searching keywords, a performance threshold, and media information; identifying a category node in a tree structure according to the searching keywords and the performance threshold, the category node comprising a plurality of advertiser nodes; selecting a subset of the advertiser nodes according to the media information and the performance threshold; and recommending a publisher bid on the subset of the advertiser nodes.

Techniques for using attention events for audience expansion are provided. In one technique, first interaction data that indicates multiple interactions by the first entity with multiple content items is stored. The interactions includes an interaction that is based on an amount of time that content within one of the content items was presented to the first entity. Based on the first interaction data, similarity data that identifies one or more content delivery campaigns that are similar to a particular content delivery campaign is generated. Second interaction data that indicates interaction(s) by a second entity with content item(s) is stored. Based on the second interaction data and the similarity data, association data that associates the second entity with the particular content delivery campaign is stored. The association data may be used to identify the particular campaign in response to receiving a content request from a computing device of the second entity.

AN information providing server SA determines whether a display condition is satisfied, the display condition being a condition for displaying advertising content of a specific advertiser on a first advertising space which is set on a medium that can be displayed on a terminal. And then, the information providing server SA switches, in a case where the display condition is not satisfied, the first advertising space to a second advertising space to display advertising content of an advertiser who wins a bid on the basis of bid information.

The presented technology is directed to devices, systems, and their methods of use for evaluating and optimizing the effectiveness of digital advertisements to increase sales such as in a digital ad-buying platform. In particular, the presented platform is configured for determining incremental lift of a product due to an advertisement and/or a promotion that is distributed online. Presented herein, therefore, are devices, systems, and methods of monitoring, measuring, and/or optimizing lift of an advertising campaign, such as a real-time, digital ad buying campaign implemented by a suitably configured advertising platform.

In various example embodiments, a system and method for providing dynamic bidding notifications and price guidance for buyers are presented. The system receives a selection of a present item listing and accesses historical auction data for a set of historical item listings. The system generates a dynamic bidding model for bidding on the present item and generates one or more bidding notifications based on the dynamic bidding model. The system then causes presentation of the one or more bidding notifications on a client device.

The present invention discloses a system and method for providing an alert when an interesting segment is imminent during the delivery of a digital content such as, for example, the beginning of a play during a football game, to direct the focus of one or more viewers towards the digital content. The present invention is further configured to embed a commercial message in conjunction with the alert on directing the focus of the viewers. The alerts and commercial messages are inserted by the use of industry standard tags such as those defined by Society of Cable Telecommunications Engineers (SCTE) standards SCTE 35 and SCTE 104. The tags are subsequently replaced by the required alert and commercial message media files at some point in the delivery path of the digital content. The system is adapted to activate the alert either manually or automatically. Further, the system is optionally implemented with an artificial intelligence (AI) system, which is trained using deep learning to recognize the appropriate time to automatically trigger the alert/commercial message sequence. The AI system could be trained by monitoring the manual control of alert activation.

Systems, methods, and computer-readable media are disclosed for detecting viewability and delivering content using viewability metrics. In one embodiment, an example method may include receiving a bid request for an available content delivery slot, where the bid request comprises context information, determining first candidate content for the available content delivery slot, and determining a first base bid value for the first candidate content. Example methods may include determining an estimated view rate using the context information, determining a first bid modifier using the estimated view rate; and sending a response to the bid request comprising a first bid amount. The first bid amount may be based at least in part on the first base bid value and the first bid modifier.

An advertisement presentation system includes an output device provided on a mobile object, an information processing device, and a management device. The management device obtains advertisement information to be generated from the output device of the mobile object scheduled to travel via a particular location, based on related information in which attribute information of people and location information at which the people having the attributes are present are related to each other in advance, and sends the advertisement information to the information processing device. The information processing device receives the advertisement information from the management device, and outputs the advertisement information to the output device, when the mobile object is present at the particular location. The output device obtains the advertisement information from the information processing device, and outputs the advertisement information toward an outside of the mobile object, when the mobile object is present at the particular location.

Disclosed is an online platform for predicting consumer interest level based on online behavior of consumers. The platform may be configured to monitor online activity of consumers across a plurality of webpages. As a result, the plurality of webpages visited by the consumer may be determined by the online platform. Further, the online platform may be configured to access and parse each webpage in the plurality of webpages in order to extract key elements. Furthermore, the platform may be configured to aggregate key elements extracted from each of the plurality of webpages and perform an analysis. Based on the analysis, the consumer may be determined to be in-market with regard to a product and/or a service. Further, based on the analysis, a confidence value representing a degree to which the consumer is in-market with respect to the product and/or the service may also be determined.