Abstract: Embodiments of the present disclosure relate generally to the generation and presentation of merchant insights to a brick-and-mortar merchant. More specifically, one or more embodiments of the present disclosure relate to detecting and identifying users visiting a merchant's retail location, determining product preferences of the identified users that relate to the merchant, and providing merchant insights to the merchant based on the determined product preferences.

Abstract: One or more embodiments of the disclosure provide systems and methods for improving a user experience related to interacting with content using multiple client devices and/or mediums. For example, a persistent activity system can receive activity data for a user from a client device. The persistent activity system can generate state information based on the received activity data. Further, the persistent activity system can provide the state information to another client device and/or medium to enable the user to seamlessly resume the user's activity on the other client device and/or medium.

Abstract: Embodiments of the present disclosure relate generally to the generation and presentation of merchant insights to a brick-and-mortar merchant. More specifically, one or more embodiments of the present disclosure relate to detecting and identifying users visiting a merchant's retail location, determining product preferences of the identified users that relate to the merchant, and providing merchant insights to the merchant based on the determined product preferences.

Abstract: Embodiments of the present disclosure relate generally to the generation and presentation of merchant insights to a brick-and-mortar merchant. More specifically, one or more embodiments of the present disclosure relate to detecting and identifying users visiting a merchant's retail location, determining product preferences of the identified users that relate to the merchant, and providing merchant insights to the merchant based on the determined product preferences.

Abstract: A system for creating and using a universal tag to gather consumer data from a web site for the purposes of targeted advertising is provided. The universal tag system has two main subsystems. The first subsystem is a configuration system that is used to define the consumer data to be collected from the website and to define taxonomy and transformation rules to be applied to the collected consumer data. The second subsystem is a runtime system that runs a universal tag client-side script, which is triggered when a consumer lands on a webpage of the website, for collecting the defined consumer data. The runtime system then applies the transformation rules to the collected data and updates a user profile corresponding to the consumer with the transformed data. As well, the runtime system applies the taxonomy rules to the collected data and categorizes the consumer for the purposes of subsequent targeted advertising.

Abstract: A system for creating and using a universal tag to gather consumer data from a web site for the purposes of targeted advertising is provided. The universal tag system has two main subsystems. The first subsystem is a configuration system that is used to define the consumer data to be collected from the website and to define taxonomy and transformation rules to be applied to the collected consumer data. The second subsystem is a runtime system that runs a universal tag client-side script, which is triggered when a consumer lands on a webpage of the website, for collecting the defined consumer data. The runtime system then applies the transformation rules to the collected data and updates a user profile corresponding to the consumer with the transformed data. As well, the runtime system applies the taxonomy rules to the collected data and categorizes the consumer for the purposes of subsequent targeted advertising.

Abstract: A system for creating and using a universal tag to gather consumer data from a website for the purposes of targeted advertising is provided. The universal tag system has two main subsystems. The first subsystem is a configuration system that is used to define the consumer data to be collected from the website and to define taxonomy and transformation rules to be applied to the collected consumer data. The second subsystem is a runtime system that runs a universal tag client-side script, which is triggered when a consumer lands on a webpage of the website, for collecting the defined consumer data. The runtime system then applies the transformation rules to the collected data and updates a user profile corresponding to the consumer with the transformed data. As well, the runtime system applies the taxonomy rules to the collected data and categorizes the consumer for the purposes of subsequent targeted advertising.

Abstract: A system for creating and using a universal tag to gather consumer data from a web site for the purposes of targeted advertising is provided. The universal tag system has two main subsystems. The first subsystem is a configuration system that is used to define the consumer data to be collected from the website and to define taxonomy and transformation rules to be applied to the collected consumer data. The second subsystem is a runtime system that runs a universal tag client-side script, which is triggered when a consumer lands on a webpage of the website, for collecting the defined consumer data. The runtime system then applies the transformation rules to the collected data and updates a user profile corresponding to the consumer with the transformed data. As well, the runtime system applies the taxonomy rules to the collected data and categorizes the consumer for the purposes of subsequent targeted advertising.

Abstract: A system for creating and using a universal tag to gather consumer data from a web site for the purposes of targeted advertising is provided. The universal tag system has two main subsystems. The first subsystem is a configuration system that is used to define the consumer data to be collected from the website and to define taxonomy and transformation rules to be applied to the collected consumer data. The second subsystem is a runtime system that runs a universal tag client-side script, which is triggered when a consumer lands on a webpage of the website, for collecting the defined consumer data. The runtime system then applies the transformation rules to the collected data and updates a user profile corresponding to the consumer with the transformed data. As well, the runtime system applies the taxonomy rules to the collected data and categorizes the consumer for the purposes of subsequent targeted advertising.

Abstract: One or more embodiments of the disclosure provide systems and methods for improving a user experience related to interacting with content using multiple client devices and/or mediums. For example, a persistent activity system can receive activity data for a user from a client device. The persistent activity system can generate state information based on the received activity data. Further, the persistent activity system can provide the state information to another client device and/or medium to enable the user to seamlessly resume the user's activity on the other client device and/or medium.

Abstract: The present disclosure relates, in part, to systems and methods that provide for identifying a purchase by a user and remarketing a product to the user. In particular, a system can analyze a portion of a social networking communication from a user and determine that the social networking communication references a purchase of a product by the user. The system can further identify a projected usage interval associated with the purchase and provide remarketing content to the user based on the purchase and in accordance with the usage interval.

Abstract: The present disclosure relates, in part, to a system for inferring user interest in new products based on a history of product purchases. In particular, an interest inference system can monitor a plurality of purchases by users and identify product attributes and user attributes from information associated with the purchases. The interest inference system can further determine correlations between product attributes and user attributes. Based on the correlations, the interest inference system can identify users that are likely to be interested in a new product even if no past marketing data is available for the new product.

Abstract: Embodiments of the present disclosure relate generally to the generation and presentation of merchant insights to a brick-and-mortar merchant. More specifically, one or more embodiments of the present disclosure relate to detecting and identifying users visiting a merchant's retail location, determining product preferences of the identified users that relate to the merchant, and providing merchant insights to the merchant based on the determined product preferences.

Abstract: A social networking system receives a selection of user characteristics defining a benchmark audience and a target audience, and generates audience metrics that compare the audiences across a set of user characteristics. These user characteristics include demographics, interests, purchasing activity, and actions on the social networking system. The audience metrics are provided to an advertiser who may select additional user characteristics to refine the benchmark or target audiences. The audience metrics may include an affinity score that compares the audience metrics for a particular type of interaction, and may normalize the frequency of interactions relative to interactions of the audience as a whole. Advertisers may use the defined audiences to establish targeting criteria for an advertisement, and may use existing targeting criteria to seed the selection of an audience.

Abstract: A social networking system receives a selection of user characteristics defining a benchmark audience and a target audience, and generates audience metrics that compare the audiences across a set of user characteristics. These user characteristics include demographics, interests, purchasing activity, and actions on the social networking system. The audience metrics are provided to an advertiser who may select additional user characteristics to refine the benchmark or target audiences. The audience metrics may include an affinity score that compares the audience metrics for a particular type of interaction, and may normalize the frequency of interactions relative to interactions of the audience as a whole. Advertisers may use the defined audiences to establish targeting criteria for an advertisement, and may use existing targeting criteria to seed the selection of an audience.

Abstract: The present disclosure relates, in part, to an advertisement system that provides for the remarketing of products to a user within a social networking system. More specifically, the advertisement system can analyze a user's social networking profile, which can include information derived from user activity related to third-party content, to identify the user's interest in and/or association with a product previously marketed to the user. Using the user's social networking profile, the advertisement system can create a customized advertisement for the user for a product previously, marketed to the user and serve the customized advertisement to the user within the social networking system.

Abstract: An online system receives one or more business rules associated with a third party system that associates online system users with an audience group based on characteristics of the user. When an online system user interacts with content provided by the third party system via a client device, contextual information describing the interaction is communicated from the client device to the online system. By applying one or more business rules to the contextual information, the online system associates the user with one or more audience groups. The online system determines that the user is eligible to be presented with the advertisement based at least in part on the one or more audience groups associated with the user and the one or more of the audience groups specified by the advertiser associated with the advertisement. And if eligible, the online system provides the advertisement to the client device for presentation.

Abstract: Disclosed is a computer-implemented method for audience ID synchronization in a data management platform. In one embodiment, the method includes receiving a first redirect traffic from a first domain during a first browser session, in response to a web browser loading an embedded web object on a web page of the first domain; identifying a consumer user by searching through a cookie cache of the web browser to determine whether an unity identifier has been assigned in the cookie cache by the data management platform; in response to determining no unity identifier has been assigned to the consumer user, generating a cookie containing a new unity identifier and dropping the cookie in the cookie cache of the web browser; and synchronizing identifiers for the consumer user with a partner platform by updating a matching table of the identifiers with either the identified unity identifier or the new unity identifier.

Abstract: A system for creating and using a universal tag to gather consumer data from a website for the purposes of targeted advertising is provided. The universal tag system has two main subsystems. The first subsystem is a configuration system that is used to define the consumer data to be collected from the website and to define taxonomy and transformation rules to be applied to the collected consumer data. The second subsystem is a runtime system that runs a universal tag client-side script, which is triggered when a consumer lands on a webpage of the website, for collecting the defined consumer data. The runtime system then applies the transformation rules to the collected data and updates a user profile corresponding to the consumer with the transformed data. As well, the runtime system applies the taxonomy rules to the collected data and categorizes the consumer for the purposes of subsequent targeted advertising.

Abstract: A system for creating and using a universal tag to gather consumer data from a website for the purposes of targeted advertising is provided. The universal tag system has two main subsystems. The first subsystem is a configuration system that is used to define the consumer data to be collected from the website and to define taxonomy and transformation rules to be applied to the collected consumer data. The second subsystem is a runtime system that runs a universal tag client-side script, which is triggered when a consumer lands on a webpage of the website, for collecting the defined consumer data. The runtime system then applies the transformation rules to the collected data and updates a user profile corresponding to the consumer with the transformed data. As well, the runtime system applies the taxonomy rules to the collected data and categorizes the consumer for the purposes of subsequent targeted advertising.