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: 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: Disclosed is an approach for implementing a system, method, and computer program product for performing social marketing using a cloud-based system. The approach is capable of accessing data across multiple types of internet-based sources of social data and commentary and to perform analysis upon that data. A social marketing campaign can then be generated and implemented in an integrated manner using the system. This permits realtime reaction to trends, with rapid ability to react to opportunities in the marketplace.

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.

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: Disclosed is an approach for implementing a system, method, and computer program product for performing social marketing using a cloud-based system. The approach is capable of accessing data across multiple types of internet-based sources of social data and commentary and to perform analysis upon that data. A social marketing campaign can then be generated and implemented in an integrated manner using the system. This permits realtime reaction to trends, with rapid ability to react to opportunities in the marketplace.