A disclosed example apparatus to monitor a media device includes: an input to obtain a signal at a universal serial bus port of the media device; and a bit rate comparator to: determine the media device is involved in a data transfer if a bit rate of the signal exceeds a threshold; and determine the media device is not involved in the data transfer if the bit rate of the signal does not exceed the threshold.

An apparatus for gaze analysis according to an embodiment is for gaze analysis mounted on an apparatus including a display. The apparatus may include a gaze tracking unit that generates gaze tracking information by tracking a user's gaze with respect to content displayed on the display and a gaze analysis unit that detects fixation excluding saccade from the user's gaze, and generates gaze analysis information of the user on the content based on the detected fixation.

Aspects of the present disclosure generally relate to systems and methods for attributing online advertising campaigns to in-store purchases. In particular embodiments, the system is configured for: 1) receiving and optimizing advertising campaign information; 2) uploading the optimized advertising campaign information to an advertising platform; 3) capturing customer data based on pixel and cookie interaction, including data regarding the advertising campaign; 4) receiving customer identifying information; 5) matching the customer identifying information to the captured customer data; and 6) matching the customer identifying information to in-store purchases.

Methods, apparatus, systems and articles of manufacture to estimate and deduplicate audiences are disclosed herein. An example apparatus includes a controller to determine a subunion of at least first and second marginal audiences of media based on of panel data and census data, the panel data including a panel impression count and a panel audience size, and the census data including a census impression count, an audience size calculator to determine a census audience size of the at least the first and second marginal audiences based on the panel impression count and the panel audience size and determine a subunion census audience size, the subunion census audience size corresponding to an overlap between the at least the first and second marginal audiences; and a report generator to generate a report including the census audience size and the subunion census audience size.

A method and system for improving e-commerce that is directed at improving landing pages for consumer products. Using long tail query phrases, the method and system generates more detailed landing pages that will assist in providing more information to consumers.

The present disclosure relates to a marketing management system, a business management system, processes, and methods of use. The present disclosure provides for integration of a plurality of accounts for management for firms and the like. Furthermore, the integrations with ecommerce, phone services, online services, social media services, and task management provide for further simplification and management. In this way, the present disclosure also provides for designing, creating, and launching ads and/or advertisement campaigns, based on a product and/or service, of different variations, through different accounts, while dynamically modifying graphics and the like. More specifically, and without limitation, the present disclosure relates to a digital marketing profile management system. More specifically, and without limitation, the present disclosure relates to a system for digital marketing management and the organization and task management associated with various profiles for marketing, and specifically digital marketing in business operations.

An advertising method, device and system, and a computer-readable storage medium are provided. The method includes: acquiring user information; sending the user information to a server that stores an advertising requirement, wherein the advertising requirement includes an advertisement content and an advertising condition of the advertisement content; receiving an advertising instruction of the advertisement content from the server, wherein the advertising instruction of the advertisement content is generated by the server when the user information meets the advertising condition of the advertisement content; and playing the advertisement content in response to the advertising instruction.

A display apparatus displaying content corresponding to an installation location and a server providing content considering the installation location of the display apparatus are provided. The display apparatus includes: a display; a communication interface configured to communicate with an external server; and a processes configured to control the communication interface to receive, from the external server, content including an element with a large number of expected viewers identified based on at least one of a number of viewers or an installation location, and control the display to display the received content.

Methods and systems for determining and using disliked content are described. The method includes obtaining, by a service provider system, channel viewing data from a user device of a user, pre-processing, by a content analysis unit, the channel viewing data to mitigate inaccuracies and inconsistencies in the channel viewing data, scaling, by the content analysis unit, the pre-processed channel viewing data to highlight temporal dislike aspects of the pre-processed channel viewing data, applying, by the content analysis unit, machine learning algorithms to the scaled channel viewing data to generate a disliked content ratings matrix, and outputting, by the content analysis unit to user interface systems in the service provider system, to provide enhanced user viewing. The user interface systems including a recommender system, an alternate content generation system, or both.

One or more computing devices, systems, and/or methods for generating dynamic content item recommendations are provided. Content item information, extracted from message data, is aggregated to calculate popularity and attributes of content items. The content items are ranked based upon the popularity and attributes to generate a ranked list of content items. Exploration traffic is served utilizing a set of eligible content items selected from the ranked list of content items. An eligible content item is promoted for participation in auctions for serving non-exploration traffic based upon the eligible content item being served a threshold number of times.