Website publishers maximize revenue by refreshing advertisements displayed on webpages from time to time, while ensuring that only advertisements that are sufficiently visible to the consumer are refreshed. Advertisers are guaranteed that their advertisements are sufficiently visible, and are more willing to bid for placement of refreshed advertisements. A webpage is provided with an advertisement. Time that has passed since the webpage was provided is measured, but before the time that has passed since the webpage was provided has equaled or exceeded a time period at which to refresh the advertisement, it is detected that the advertisement is either not visible or is insufficiently visible on a browser providing the webpage. Accordingly, measurement of the time that has passed since the webpage was provided is suspended, such that the advertisement is not refreshed while the advertisement is either not visible or is insufficiently visible.

A system may include an aggregate model comprising a plurality of modules, a monitoring dashboard in communication with the aggregate model, and a search-marketing campaign manager in communication with the aggregate model, the monitoring dashboard, and a search engine entity. Additionally, the system may include a bidding interface in communication with the aggregate model and a search engine entity and/or a monitoring dashboard configured to generate model adjustment data. The search-marketing campaign manager may be configured to determine trend data, measured marketing indicators, or both, from one or more of marketing data or historical data.

Aspects of the subject disclosure may include, for example, determining an ad play list for an Over-The-Top video stream requested by an end user device based on a price and/or a category of a creative derived from auctions with multiple Supply-Side Platform servers. The ad play list can be determined for the ad pod according to business rules, which can include a yield policy based on increasing revenue for a publisher of the video stream, and/or which can include a competitive separation policy enforced based on the category for bid responses. Other embodiments are disclosed.

A method, computer program product, and computing system are provided for identifying an advertising opportunity on a first website in response to a user accessing the first website. Information associated with the user accessing the first website may be received. One or more digital advertisements of one or more fashion products from the second website may be provided for rendering on the first website based upon, at least in part, one or more fashion-ability scores representative of the one or more fashion products on the second website and the information associated with the user accessing the first website.

Systems, methods, and computer-readable media are disclosed for detecting user interactions and delivering content using interaction metrics. In one embodiment, an example method may include receiving a bid request for an available content delivery slot, the bid request comprising 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 a predicted conversion rate for an impression of the first candidate content served at the available content delivery slot, determining an estimated revenue for serving the impression at the available content delivery slot, determining a first bid modifier using the predicted conversion rate and the estimated revenue, and sending a response to the bid request comprising a first bid amount, wherein the first bid amount is based at least in part on the first base bid value and the first bid modifier.

This disclosure describes systems, methods, and computer-readable media related to retargeting online advertisement campaign recommendations for advertisements with multiple items or services. Bids may be based on a combined advertisement creative comprising two or more items or services. Dynamically selecting multiple items at bid time using a retargeting model to determine a potential revenue generation amount associated with an event may increase the probability of a conversion event based on the creative that includes the selected items. In some embodiments, a machine-learned retargeting model may be used to select multiple items to be displayed in an advertisement. The retargeting model may be applied to items that were previously viewed by the consumer and may determine a value for each of the items using factors. A bid may be calculated for each of the selected items using the values determined by the retargeting model.

Systems and methods for real-time bidding of advertisement during live event broadcasting are disclosed including calculating intensity levels during a live event, opening advertisement space on screen for real-time bidding based on intensity levels, and displaying an advertisement in the advertisement space as an overlay on video images of the live event broadcasting.

A computing device is configured to generate a content reference for content displayed on a webpage. An encrypted reference is generated for the content reference. The content is provided, with the content reference, to a client device. A website is provided for the client device upon selection of the content by a user input on the webpage. The website includes an offering and related offerings associated with the content. In accordance with a web action received from the website, a logical table is updated with an entry associated with the encrypted reference. The update may be associated with a credit or a charge based at least in part on the web action for the offering or the related offerings.

Systems, methods and articles for automating and optimizing the buying and selling of content, such as advertising inventory units. The systems disclosed herein provide an automated double-blind auction-based marketplace that provides price protection for buyers, provides advanced insight to buyers regarding future campaign performance, and creates balanced sell side competition. This is achieved by an automated auction engine that, among other things, automatically determines the winning buyers and sellers and automatically determines the prices that winning buyers will pay. The system may automatically generate orders from the winning bids, and the orders may be sent to a traffic system for publishing.

In a method a web page hosting a tag script has a first area and a second area smaller than the first area. The first area contains a third area smaller than the first area. The third area is not positioned within the second area when the web page is loaded, and the third area contains a first ad content sourced from a first real-time ad bidding auction. Determining in real time via the tag script (a) whether the first ad content was loaded in the web page for a predefined time period, and (b) based on the other determining whether the third area has been scrolled into the second area as of or after the predefined time period has expired, and requesting a second real-time ad bidding auction for a second ad content to be input into the third area and replace the first ad content.