At least one aspect is directed to determining an estimate of an intersection of user identifiers in a first set of user identifiers and a second set of user identifiers. The first and second sets of user identifiers can be populated with user identifiers that have interacted with the same content item or content item campaign. Estimates of intersections of the first and the second sets can be determined based on a binomial vector approach, a vector of counts approach, or a hybrid approach. The binomial vector approach generates vectors based on k hashes of each user identifier in the first set and summing the vectors to generate a first vector. The intersection can be determined based on a dot product of the first vector and a second vector similarly generated from the second set of user identifiers.

At least one aspect is directed to determining an estimate of an intersection of user identifiers in a first set of user identifiers and a second set of user identifiers. The first and second sets of user identifiers can be populated with user identifiers that have interacted with the same content item or content item campaign. Estimates of intersections of the first and the second sets can be determined based on a binomial vector approach, a vector of counts approach, or a hybrid approach. The binomial vector approach generates vectors based on k hashes of each user identifier in the first set and summing the vectors to generate a first vector. The intersection can be determined based on a dot product of the first vector and a second vector similarly generated from the second set of user identifiers.

A method is disclosed for tracking advertisement effectiveness. First information associated with desired advertising information is broadcast from at least one of a plurality of fixed information nodes. A mobile unit receives the broadcast information and outputs the desired advertising information. An advertisement counter is started at the time of receipt of the broadcast information and presence information is broadcast from at least one of a plurality of fixed monitoring nodes over a restricted broadcast range, which at least one fixed monitoring node is disposed in a predetermined fixed physical proximity with a vendor location. The broadcast presence information is received at the mobile unit and a presence counter is started in response to receipt of the presence information. At the mobile unit loss of receipt of the broadcast presence information, the presence counter is stopped.

A method and system for presenting an advertisement and determining site placement effectiveness of a visual display of an advertisement. A facial scanner is positioned relative to the visual display with a coverage range of the viewing area in front of and peripheral to the visual display. A server to which the scanner is coupled has controlling facial recognition software to identify and track unique recognized faces, A synchronization and timer mechanism configured to synchronize a visual display of a specific advertisement with captured scanned facial recognition of the unique recognized faces and the time that a specifically face is within the viewing area including interrupted time.

An online system receives information from a third-party system identifying products offered by the third-party system and content publishing users associated with each product. The online system identifies products associated with a specific content publishing user to the specific content publishing user and receives a content item from the specific publishing user including a link to the third-party system. After presenting the content item to a user, the online system receives information from a tracking mechanism included in content maintained by the third-party system if the user interacts with the third-party system after being presented with the content item. Based on information from the tracking mechanism identifying products associated with the specific content publishing user, the online system may modify subsequent presentation of content items associated with the specific content publishing user.

Methods, systems, and apparatus for enhancing electronic commerce using social media are described. Social media information is analyzed to determine a social media strategy and a strategy template is determined based on the defined social media strategy. The strategy template is provided to a user of an electronic commerce service.

Techniques for predicting an offsite entity interaction rate are provided. One approach involves using a first machine-learned model that includes a first plurality of features that correspond to entity and campaign attributes. The approach also involves training a second machine-learned model that includes a second plurality of features that includes a particular feature corresponding to predicted entity interaction rates. Thus, output of the first machine-learned model is input to the second machine-learned model. The second machine-learned model includes multiple weights that include a particular weight for the particular feature. A content request is received and a set of campaigns is identified based on an entity identifier associated with the content request. Scores are generated based on the first and second machine-learned models. Based on the scores, a campaign is selected and campaign data associated with the campaign is transmitted over a computer network.

The invention relates to a system used to enhance the results of a direct mail marketing campaign. The system processes spanning online and offline efforts with the end result being increased engagement and return on investment through added impressions and real-time Key Performance Indicator (KPI) reporting, in an easy to use and understand dashboard. Additionally, the system has a smart label which communicates with the system of the instant invention to track mail.

A system and method for dynamically tracking the delivery and performance of static advertising placed in public or semi-public physical locations, and integrating, displaying, and reporting impressions and events related to the static advertising in digital ad buying systems.

Systems and methods for getting and using reaction and feedback on contents presented at a device. In an aspect, viewing time of a user is measured by eye-tracking method, and used to conduct analysis, change contents, charge sponsors, award the user, or charge the user. Moreover, other methods are also used to detect user reaction and feedback and respond to user request. In other aspects, contents are provided partially free and free time periods are offered for multiple presentation segments of a program.