Abstract: A single tracking URL collects tracking information for multiple tracking services based on multiple tracking URL templates. A dynamic link generator generates a tracking URL configured to collect tracking information requested by each of a set of enabled tracking URL templates. The tracking information is transmitted to the tracking services associated with the enabled tracking URL templates. Additionally or alternatively, a tracking URL is configured to redirect a consumer to one of a candidate set of destination URLs. A tracking URL includes a base URL, which is resolved to an IP address of a server of a particular tracking service. Based on tracking data associated with the tracking URL and/or digital body language associated with the consumer, the particular tracking service selects one of a candidate set of destination URLs associated with the tracking URL. A destination page corresponding to the selected destination URL is presented to the consumer.

Abstract: Techniques for using machine learning to configure social media campaigns are disclosed. A social relationship management (SRM) service performs supervised machine learning to generate a learned model, at least by: generating feature vectors based on training data including campaign configuration data and one or more campaign success metrics; and performing pattern recognition on the feature vectors to determine one or more preferred campaign configurations. The SRM service publishes messages to one or more social media platforms and receives user interaction data associated with users' interactions with the messages. The SRM service performs unsupervised machine learning to update the learned model based at least in part on the user interaction data.

Abstract: The present disclosure provides a detailed description of techniques used in systems, methods, and in computer program products for bi-directional social media broker services that connect multiple social media sites using a common management framework. The claimed embodiments address the problem of efficiently scaling and managing bidirectional interaction with multiple social media publishing channels. More specifically, the claimed embodiments are directed to approaches for a computing platform having multiple message broker modules that enable bi-directional communication of messages between a common resource manager and a plurality of social media sites. The message broker modules can receive messages in a unified message format from the common resource manager, queue the messages for asynchronous processing, translate the messages from the unified message format to a site-specific format, and deliver the translated messages to multiple social media sites.

Abstract: The present disclosure provides a detailed description of techniques used in systems, methods, and in computer program products for bi-directional social media broker services that connect multiple social media sites using a common management framework. The claimed embodiments address the problem of efficiently scaling and managing bidirectional interaction with multiple social media publishing channels. More specifically, the claimed embodiments are directed to approaches for a computing platform having multiple message broker modules that enable bi-directional communication of messages between a common resource manager and a plurality of social media sites. The message broker modules can receive messages in a unified message format from the common resource manager, queue the messages for asynchronous processing, translate the messages from the unified message format to a site-specific format, and deliver the translated messages to multiple social media sites.

Abstract: The present disclosure provides a detailed description of techniques used in systems, methods, and in computer program products for bi-directional social media broker services that connect multiple social media sites using a common management framework. The claimed embodiments address the problem of efficiently scaling and managing bidirectional interaction with multiple social media publishing channels. More specifically, the claimed embodiments are directed to approaches for a computing platform having multiple message broker modules that enable bi-directional communication of messages between a common resource manager and a plurality of social media sites. The message broker modules can receive messages in a unified message format from the common resource manager, queue the messages for asynchronous processing, translate the messages from the unified message format to a site-specific format, and deliver the translated messages to multiple social media sites.

Abstract: A single tracking URL collects tracking information for multiple tracking services based on multiple tracking URL templates. A dynamic link generator generates a tracking URL configured to collect tracking information requested by each of a set of enabled tracking URL templates. The tracking information is transmitted to the tracking services associated with the enabled tracking URL templates. Additionally or alternatively, a tracking URL is configured to redirect a consumer to one of a candidate set of destination URLs. A tracking URL includes a base URL, which is resolved to an IP address of a server of a particular tracking service. Based on tracking data associated with the tracking URL and/or digital body language associated with the consumer, the particular tracking service selects one of a candidate set of destination URLs associated with the tracking URL. A destination page corresponding to the selected destination URL is presented to the consumer.

Abstract: The present disclosure provides a detailed description of techniques used in systems, methods, and in computer program products for bi-directional social media broker services that connect multiple social media sites using a common management framework. The claimed embodiments address the problem of efficiently scaling and managing bidirectional interaction with multiple social media publishing channels. More specifically, the claimed embodiments are directed to approaches for a computing platform having multiple message broker modules that enable bi-directional communication of messages between a common resource manager and a plurality of social media sites. The message broker modules can receive messages in a unified message format from the common resource manager, queue the messages for asynchronous processing, translate the messages from the unified message format to a site-specific format, and deliver the translated messages to multiple social media sites.

Abstract: Techniques for using machine learning to configure social media campaigns are disclosed. A social relationship management (SRM) service performs supervised machine learning to generate a learned model, at least by: generating feature vectors based on training data including campaign configuration data and one or more campaign success metrics; and performing pattern recognition on the feature vectors to determine one or more preferred campaign configurations. The SRM service publishes messages to one or more social media platforms and receives user interaction data associated with users' interactions with the messages. The SRM service performs unsupervised machine learning to update the learned model based at least in part on the user interaction data.

Abstract: The present disclosure provides a detailed description of techniques used in systems, methods, and in computer program products for bi-directional social media broker services that connect multiple social media sites using a common management framework. The claimed embodiments address the problem of efficiently scaling and managing bidirectional interaction with multiple social media publishing channels. More specifically, the claimed embodiments are directed to approaches for a computing platform having multiple message broker modules that enable bi-directional communication of messages between a common resource manager and a plurality of social media sites. The message broker modules can receive messages in a unified message format from the common resource manager, queue the messages for asynchronous processing, translate the messages from the unified message format to a site-specific format, and deliver the translated messages to multiple social media sites.

Abstract: The present disclosure provides a detailed description of techniques used in systems, methods, and in computer program products for bi-directional social media broker services that connect multiple social media sites using a common management framework. The claimed embodiments address the problem of efficiently scaling and managing bidirectional interaction with multiple social media publishing channels. More specifically, the claimed embodiments are directed to approaches for a computing platform having multiple message broker modules that enable bi-directional communication of messages between a common resource manager and a plurality of social media sites. The message broker modules can receive messages in a unified message format from the common resource manager, queue the messages for asynchronous processing, translate the messages from the unified message format to a site-specific format, and deliver the translated messages to multiple social media sites.

Abstract: The present application presents an improved approach for dynamically generating tracking links. In some embodiments, the present invention allows for the defining of tracking link templates allowing a user to specify parameters usable by a tracking service. One or more post parameters and one or more custom parameters may be defined. SRM posts may then be created by a user through an SRM interface, and a tracking URL be automatically created by reading in the post parameters and one or more user-inputted custom parameters.

Abstract: The present application presents an improved approach for tracking consumer digital body language. A campaign is assigned to social posts by specifying one or more campaign tags and a tracking URL template. Posts associated with a campaign are created by entering post details and parameters and automatically retrieving the campaign tags. The parameters and template may be used to form a tracking URL to be published with the post. When a consumer clicks on a URL associated with a published post, the tracking URL is read and parsed, so that the tracking information may be read and stored for analysis. In addition, digital body language may be stored for the consumer. The consumer will then be redirected to the destination URL.