Methods and apparatus to credit media presentations for online media distributions are disclosed. Example methods and apparatus determine a presenter of a media session based on a user agent identifier extracted from a proxy record associated with the media session, and in response to determining that the user agent identifier does not identify a publisher, identify a first domain referenced by a URL associated with the media session, and, in response to determining that the first domain matches a domain pattern associated with a publisher and does not match a domain in a list of hosting domains, classify the media of the media session as being published by the publisher associated with the matching domain pattern, the publisher being different from the presenter.

A disclosed example includes aggregating first performance results of computer-generated machine learning models to generate aggregated performance results, the first performance results based on a comparison of audience member demographic data to training results, the training results generated by the computer-generated machine learning models based on at least one of: (a) a composition of a household, (b) a type of first media, (c) a daypart during which the first media was accessed, or (d) a time at which the first media was accessed; selecting at least one of the computer-generated machine learning models based on a comparison of ones of the first performance results to the aggregated performance results; and applying the at least one of the computer-generated machine learning models to correct a computer-generated error in computer-collected audience measurement data, the computer-collected audience measurement data corresponding to accesses to second media.

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.

A method, product and system are provided for determining estimated quality scores in digital content distribution systems. The method comprises, based on monitoring of engagements and conversions, determining a segment-specific estimated quality score of a given traffic; determining an observation-based pair-specific quality score for the given traffic and for a specific campaign; and determining, based on the segment-specific estimated quality score and based on the observation-based pair-specific quality score, a pair-specific estimated quality score of the specific campaign for the given traffic segment indicating an estimated quality score of the specific campaign when presented in the given traffic segment.

Systems and methods for dynamically tracking delivery and performance of digital advertising placed on non-personal devices in physical locations and integrating, displaying, and reporting impressions and events in digital advertising systems.

Techniques of collecting and displaying data include mapping user interaction data having multiple components (or, dimensions) to a plurality of buckets representing a set of values of each of the components. When a user causes a computer to generate user interaction data by interacting with an object on an electronic display, the computer performs a mapping of the many components of the user interaction data to a plurality of buckets. Each bucket represents a set of values of the user interaction data. The number of buckets is far smaller than the number of possible data points. Accordingly, rather than individual, multidimensional data points being transmitted to another computer that compiles the user interaction data into heat maps, a relatively small number of bucket identifiers are transmitted. In this way, the analysis of the user interaction data requires minimal resources and can take place in real time.

A method for auditing an advertisement impression in which a first advertisement was presented in conjunction with first media content is disclosed. The method generally comprises transmitting to a plurality of second computing devices a plurality of randomly generated first cryptographic proofs; receiving, a first message from a second computing device indicating that the first advertisement was presented in conjunction with the first media content; and evaluating the first targeting model for the first advertisement based on the at least one media content classifier.

A performance internet marketing self-optimizing, anthropomorphic, artificial intelligence-based system and method to quote, compare and purchase benefits products from a benefits provider. The system and method collects information from an online advertising platform during the process and returns the collected information to the online advertising platform for optimization of the online advertising platform.

Systems, apparatus, methods, and computer program products are provided for optimized and effective leading messages, which may be an email subject that may provoke a consumer to access the body portion of an email message. A system may include circuitry configured to programmatically determine a predicted access rate for a leading message when the leading message is provided as a portion of a promotional message. Circuitry may be configured to track historical data indicating the access rates of leading messages and/or leading message terms. The circuitry may be configured to leverage the historical data to determine predicted access rates for leading messages, such as based at least in part on historical access rates associated with one or more leading message terms of the leading message.

A network traffic surge resistant platform is described herein. An example system includes a network storage, and one or more servers configured as a commerce platform including an authentication manager. The commerce platform generates a first secret code and sends the first secret code via a first communication medium associated with a first identifier. The commerce platform also generates a second secret code and sends the second secret code via a second communication medium associated with a second identifier. In response to determining the first input code matching the first secret code and the second input code matching the second secret code, the commerce platform authorizes a transaction associated with a particular browser and associates the transaction with a customer record associated with both the first and second identifiers.