Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving a notification of an ad space, the ad space being for presentation in a user interface of an application executing on a client device, sending, to the client device, instructions configured to be executed by the client device for determining view-ability data of the ad space, the view-ability data comprising whether the ad space is within a viewport of the user interface, receiving, from the client device, the view-ability data as determined by the instructions at a first time instance, calculating a predicted view-ability that the ad space is positioned within the viewport at a second time instance after the first time instance, and sending, to a plurality of bidders, a bid request for bidding on an auction of the ad space, the bid request comprising the predicted view-ability.

Systems and methods for distributing online ads with electronic content according to a campaign strategy that is adjusted based on intraday modeling. One embodiment of the invention determines a campaign strategy for a current day allocating a daily budget to automatically bid on online ad opportunities using allocated budget amounts and distributes online ads during a first portion of the current day according to the campaign strategy. Current day data regarding use of the distributed online ads during the first portion of the current day is received and compared with historical data to determine a correction factor that accounts for a magnitude of difference between the current day data and the historical data. The campaign strategy for the current day is adjusted using the correction factor and additional online ads are distributed during a second, later portion of the current day according to the adjusted campaign strategy.

Systems and methods are disclosed herein for distributing online ads with electronic content according to online ad request targeting parameters. One embodiment of this technique involves placing online test ads across multiple online ad request dimensions and tracking a performance metric for the online test ads. The performance of the online ad request dimensions is estimated based on the tracking of the performance metric for the online test ads and online ad request targeting parameters are established for spending a budget of a campaign to place online ads in response to online ad requests having particular online ad request dimensions. Online ads are then distributed based on using the online ad request targeting parameters to select online ad requests.

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.

A method, system, and non-transitory computer readable medium for an advertisement distribution system, include an eye-reaction tracking circuit configured to track eye-reaction of a user for each of a plurality of advertisements of at least a first advertisement group on a web page displayed on a display device, a scoring circuit configured to calculate a score for each of the plurality of advertisements of the first advertisement group based on the tracked eye-reaction of the user, an auctioning circuit configured to conduct an auction to determine winning advertisements based on advertiser parameters received from a database and the score of each of the plurality of advisements during a same viewing session of the web page, and a distribution circuit configured to populate an empty advertisement group having a plurality of empty advertisement slots with the winning advertisements.

Metrics for online ads are captured by parsing web pages to identify ad beacons containing information identifying whether the online ads are for a particular client. These metrics are used to determine key performance indicators for auditing and competitor analysis for an online ad campaign.

A multistage online auction for electronic advertising is described including simulation. A first stage auction occurs internally within a demand-side platform where multiple advertiser clients compete to determine whose advertisement is submitted to at least one external auction site. Within the internal auction, an advertiser client optionally simulates their participation. All bidders enter a bid and campaign targeting parameters. A simulating bidder's campaign is processed in real time just as those of real bidders. Ad placement opportunities received from an external auction site are filtered for each campaign producing a list of targetable impressions. For each targetable impression, the client placing the highest real bid has their ad and bid submitted to the second stage external auction. A simulating bidder receives a report on targetable impressions for their campaign. A targetable impression for a simulated bid that is higher than any real bid is reported as a winnable impression.

In certain aspects, a media content management and deployment system is provided. A data store stores data specifying available timeslots and locations of signage devices. A front end server sends a user input interface to a remote computing device. The user input interface receives campaign parameters from a user for building a campaign. A deployment module receives the campaign parameters, and examines data in the data store to select candidate signage devices and candidate timeslots of the candidate signage devices from the available timeslots. The user input interface then obtains and displays the candidate timeslots of candidate signage devices for displaying media content, and receives an instruction from the user to claim all of the candidate timeslots for the campaign. Upon receiving a request to claim all of the candidate timeslots, the deployment module generates campaign deployment plan data including data specifying the candidate timeslots and the candidate signage devices.

The present invention is generally directed to systems and methods for enhancing search results. In one embodiment, search results responsive to user search terms are combined with real-time content and input from content providers. The content providers can further generate and edit text based filters to cause the search engine to reprioritize the search results, wherein higher search results contain links and other viewable digital content, such as real-time data obtained directly from content providers, that is more responsive to the user search terms.

A request for a page is received. The page is provided at least in part by determining dynamically a content element for the page. An auction to determine a winning bid is conducted prior to providing the page in response to the request and the content element determined based at least in part on the auction winner.