The present disclosure is directed to systems and methods for programmatic digital advertisements that are personalized and uniquely targeted to individually-identified consumers via non-personal, but individually accessed devices. The consumer accessing a non-personal device is identified and data cookie pertaining to the user is created and sent to third-party programmatic advertising exchanges for the use in real time bidding, private marketplace deals, or programmatic guaranteed sales. This allows for personalized digital advertisements to be delivered to a specific user accessing a non-personal device.

A system comprising a machine-readable storage medium storing at least one program and a computer-implemented method for collecting body measurements of a human user using a body measurement garment is provided. The body measurement garment comprises a plurality of sensors configured to produce a set of output data. The method may include receiving the set of output data from the body measurement garment and determining a plurality of body measurements from the output data. The method may further include generating a body shape model representing the shape of the body of the user. The method may also include generating a garment fit model representing the fit of a garment on the human user.

A marketing analytics pipeline includes an opportunity detection analytics hub and a marketing platform, wherein the opportunity detection analytics hub is configured to use trend data reports from a consumption database to fit statistical models based on streaming consumption and interaction patterns of social media UGC (user generated content) and to send growth and re-engagement opportunities to a marketing action analytics hub, and wherein the marketing platform is configured to interact with the marketing action analytics hub to create targeted marketing campaigns based around high growth potential audiences. In a further aspect, the opportunity detection analytics hub includes an offline prediction model generation component and an online opportunity detection component that receives both current streaming consumption and social media UGC interaction data for a plurality of media IP assets and identifies opportunities from the combination of these two data sources that could not be detected if analyzed separately, inclusive of a case where significant changes are detected in social media UGC interaction patterns, but are not yet detected in streaming consumption.

An intelligent peer-to-peer fundraising campaign platform is provided for managing charitable and for profit campaigns. The platform includes capabilities for creating and managing campaigns by supporters, retrieving person data for supporters and leads for the campaign, relationship data and other attributes including affinity data, donation history data, potential and financial data and storing such data in the form of social graph. The campaign platform also helps supporters of a campaign to identify leads, send personalized communication to the leads for enlisting support to the campaign, determine donor outcomes with respect to each personalized communication sent to the lead; and updating or reinforcing a donor prediction model based on the donor outcome.

The present invention involves a web site advertising placement system and method which identifies web sites unaffiliated with the advertiser and related to a topic being advertised to provide advertising links that refer to unaffiliated web sites.

An online system accesses a model trained based on a topic associated with a set of content items and the content of the set of content items. The online system applies the model to predict a probability that each of multiple content items is associated with the topic based on its content and identifies (a) content item(s) associated with at least a threshold probability. The online system retrieves information describing user engagement with the identified content item(s) and determines a value of a performance metric for the topic based on this information. If the value is at least a threshold value and the online system receives content from an entity describing an item associated with the topic, the online system communicates a recommendation to the entity to create a content item describing the item and to add a tag associated with the item upon determining an opportunity to do so.

Methods and systems for generating recommendations are disclosed. In some examples, from a set of positive reviews associated with a merchant offering, at least one attribute is identified and associated with the set of positive reviews, based on reviewer profiles associated with each respective positive review. The attribute is associated with the merchant offering. A match is determined between a customer attribute in a first customer profile and the at least one attribute. A set of recommendations is generated to be presented, via a customer electronic device, to a customer associated with the first customer profile, the set of recommendations including the merchant offering associated with at least one attribute.

A media enhanced shopping cart system comprises a shopping cart, a locationing component, and a display component for displaying at least one advertisement for a product based on the location of the shopping cart within the store, wherein the locationing component is further operable to determine a location of the product within the store relative to the shopping cart, and wherein the display component is further operable to display an indication of the location of the advertised product relative to the location of the shopping cart.

Methods and systems to identify a user across multiple browsers and machines are described. In some embodiments, a web request is received at a retrieval service from a browser. The web request may include a request to access a retrieval service website of the retrieval service and may be initiated by a redirection of the browser from a requesting service to the retrieval service. A unique identifier associated with a user logged in to an account of the retrieval service may be determined. The user may be logged in to the account via the browser. A redirect request is sent from the retrieval service to the browser. The redirect may include the unique identifier and may redirect the browser from the retrieval service website to the requesting service. The unique identifier may be used by the requesting service to perform additional functionality specific to the user.

Systems and methods of facilitating transactions related to targeted or customized commercial offerings based on derived sentiment states are provided. The sentiment states are derived from digital representations such as images, videos and sound recordings.