A filtering machine receives sponsored content and filters the sponsored content according to a quality metric generated by quality model circuitry and assigned to the instance of sponsored content. The quality model circuitry generates the quality metric in accordance with historical feedback received about other sponsored content and a collection of quality factors pertaining to the sponsored content. Based on the quality metric for the sponsored content, the filtering machine can effect service of the sponsored content to a user device for display thereon.

A method and a system for monitoring an advertisement presented within a mobile application, including: simulating a virtual user interacting with the mobile application, tracing in real-time executable code of the mobile application that processes an advertisement. Where this traced process of advertisement performs: negotiating advertisement display, communicating an advertisement, and displaying an advertisement. The system then directs the advertisement negotiation via a proxy server emulating a location of the virtual user. The system then detects within the process of advertisement an advertisement processed by the executable code. The system then records the advertisement as displayed, and parameters associated with the advertisement.

The present disclosure provides for management of impressions in advertisement campaigns. Impressions may be moved between different impression media based on performance metrics and historical data. Impression budgets may be modified in an active campaign based on forecasts determined using current performance data. Impression budgets may be reallocated between simultaneously active advertisement campaigns.

The present disclosure provides for management of impressions in advertisement campaigns. Impressions may be moved between different impression media based on performance metrics and historical data. Impression budgets may be modified in an active campaign based on forecasts determined using current performance data. Impression budgets may be reallocated between simultaneously active advertisement campaigns.

The present disclosure provides for management of impressions in advertisement campaigns. Impressions may be moved between different impression media based on performance metrics and historical data. Impression budgets may be modified in an active campaign based on forecasts determined using current performance data. Impression budgets may be reallocated between simultaneously active advertisement campaigns.

Systems and methods are disclosed herein for attributing credit to online consumer touchpoints for a consumer performing an action. The systems and methods involve determining whether a consumer is in a particular environment for an online consumer touchpoint by detecting an external viewing condition for the consumer for the online consumer touchpoint. The systems and methods determine that the consumer performed an action, such as a conversion, following the online consumer touchpoint and additional online consumer touchpoints. An effectiveness of the online consumer touchpoint in the particular environment is determined and used to attribute relative credit to the online consumer touchpoint and the additional online consumer touchpoints for the consumer performing the action.

Systems and methods are disclosed for optimizing distribution of resources to data elements, comprising receiving a selection of a first objective and a second objective, the first objective and second objective comprising goals associated with distribution of a plurality of data elements; receiving an indication that the first objective has a higher priority than the second objective; receiving a first goal metric associated with the first objective and a second goal metric associated with the second objective; determining a first forecasted metric based on the first goal metric associated with the first objective; determining a second forecasted metric based on the second goal metric associated with the second objective; and allocating resources for the distribution of a plurality of data elements based on the first goal metric, the second goal metric, the first forecasted metric, the second forecasted metric, and the indication that the first objective has a higher priority than the second objective.

There are provided systems and methods for iteratively improving an advertisement response model. A payment provider may perform operations that include training an advertisement response model using a training data set. The operations include determining that a first accuracy value corresponding to the advertisement response model is less than a accuracy value threshold. The operations further include identifying, based on executing the advertisement response model using a target data set that is different from the training data set, one or more units from the target data set for which to run the advertising campaign. The operations also include receiving one or more responses corresponding to a run of the advertising campaign with respect to the identified one or more units from the target data set and updating the training data set based on the one or more responses. The operations further include training an advertisement response model using resulting training data and repeating the operations as long as the accuracy value of the resulting model stays below the threshold or until the increase in the accuracy value with each iteration becomes unprofitable with respect to the costs of acquiring responses from further units from the target dataset.

A networked computerized advertising system used for integrating, processing and displaying location-based advertising information is provided. The system comprises at least one computing device, and a network that connects the computing device with multiple playback endpoints. The computing device includes a data storage subsystem component that stores information about the multiple end points, a data entry subsystem component that allows input of the information about the multiple end points, and a data analytics component programmed to process the information about the multiple end points and compute optimal advertising playback plans for each endpoint. Playbacks at endpoints are continuously monitored, and the playback plans are repeatedly reconstructed to provide flexible advertising campaigns to be customized in accordance with the schedule and the operations of the host business.

This disclosure covers methods, non-transitory computer readable media, and systems that determine a cluster effect representing the impact that a user's digital-content exposure has on other users' conversion actions. The disclosed methods, non-transitory computer readable media, and systems detect the downloads, purchases, or other forms of consumption of a featured item that result from users within the same cluster viewing digital content featuring the item. In some embodiments, the methods, non-transitory computer readable media, and systems apply the cluster effect by, for example, generating a conversion report representing the cluster effect or by providing tools that exploit the cluster effect in distributing digital content.