Systems and methods that provide electronic bidding on digital advertising placed on non-personal digital devices in public or semi-public settings and enable subsequent consumer actions taken on other media channels and devices to be attributed to such advertising in digital ad buying systems.

Methods and systems are described for providing advertising services to devices with a customized adaptive user experience based on adaptive algorithms. In one embodiment, a system includes a storage medium to store one or more software programs and an adaptive decision unit coupled to the storage medium. The adaptive decision unit includes or is coupled to processing logic that is configured to execute instructions of at least one adaptive decision algorithm to obtain data for different variables including at least two of an advertisement (ad) engagement history for a user, application (app) engagement history for the user, and in-app purchase engagement history for the user when making an ad selection decision. The at least one adaptive decision algorithm determines an ad selection decision for at least one relevant ad or ad content served in an engaging manner to a device of the user.

A social networking system provides content items to a user via a feed that may include one or more sponsored content items. Multiple sponsored content items may be included in a set that is presented in the feed via a scrollable content unit that presents a sponsored content item from the set and presents additional sponsored content items from the set when user interaction is received. To place sponsored content items in the feed, the social networking system scores a set of sponsored content items based on prior user interactions with content presented via scrollable content units and a bid amount of a sponsored content item in the set. The set of sponsored content items is ranked among other sponsored content items based on its score. If the set of sponsored content items is selected for inclusion in the feed, the social networking system orders the sponsored content items in the set for presentation via the scrollable content unit.

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.

Aspects of the subject disclosure may include, for example, embodiments for detecting a navigation application operating on a first communication device, and identifying a location of the first communication device. Further embodiments can include obtaining a first advertisement and a second advertisement according to the location of the first communication device as well as determining a first priority associated with the first advertisement and a second priority associated with the second advertisement. Additional embodiments can include determining the first priority is higher than the second priority resulting in a determination to present the first advertisement prior to the second advertisement, and providing the first advertisement, the second advertisement, and the determination to the first communication device. The first communication device presents the first advertisement within navigation content utilizing the navigation application prior to presenting the second advertisement within the navigation content based on the determination. Other embodiments are disclosed.

A method and associated system of producing an advertising campaign of a product for an online marketplace seller including, under control of one or more processors configured with executable instructions, generating a single keyword advertising campaign of the product; collecting data on the single keyword; executing a machine learning component of an adaptive machine learning platform to generate a machine learning component output based at least in part on the data on the single keyword; generating a behavioral curve or table relating to an advertisement bid value and a cost per click value based at least in part on the machine learning component output; generating sales goal(s) of the product for the online marketplace seller on the online marketplace; generating an optimized advertisement bid value based at least in part on the sales goal(s) and the behavioral curve or table; and generating an optimized advertising campaign therefrom.

Aspects of the subject disclosure may include, for example, providing, by a processing system, a user interface presented at a communication device of a broker for managing curated deals in electronic advertising The processing system can obtain, via the user interface, user input comprising pricing data, targeting data, margin data, and assigned buyers. The processing system can generate multiple curated deals based on combinations of prices, targets and margins derived from the pricing data, other targeting data, and other margin data, respectively. Other embodiments are disclosed.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for automated management of campaigns using scripted rules.

A digital ad-buying platform uses counterfactual-based incrementality measurement by implementing randomization and/or a correction for auction win bias to avoid the need to identify counterfactual winner types in the control group. This approach can estimate impact at the individual consumer level. Confidence levels can be determined using Gibbs sampling in the context of causal analysis in the presence of non-compliance.

A computer implemented method includes allocating to an advertisement campaign, planned bookings for certain time periods and for certain digital displays from an Out Of Home inventory. The method also allocates, by a real-time bidding process, unplanned bookings to the time periods. Forecasts of unplanned bookings demand are taken into account in allocating planned bookings.