Abstract: Disclosed herein are methods and systems for dynamic revision and customization of media elements. In an embodiment, responsive to a request to load a page having a media element indicative of a product that has not been viewed on a second page by a user, a processor retrieves data corresponding to at least a commerce attribute of the user; generates a payload comprising a customized attribute of the product based on a user purchase preference extracted from the retrieved data; and transmit the payload to a webserver hosting the page having the media element, wherein the payload instructs the webserver to revise a default attribute of the media element to present the product with the customized attribute when loading the page.

Abstract: Disclosed herein are methods and systems for dynamic revision and customization of media elements. In an embodiment, responsive to a request to load a page having a media element indicative of a product that has not been viewed on a second page by a user, a processor retrieves data corresponding to at least a commerce attribute of the user; generates a payload comprising a customized attribute of the product based on a user purchase preference extracted from the retrieved data; and transmit the payload to a webserver hosting the page having the media element, wherein the payload instructs the webserver to revise a default attribute of the media element to present the product with the customized attribute when loading the page.

Abstract: Disclosed are methods, apparatus, systems, and computer readable storage media for managing objectives in an organization in a social network environment. A server may receive objective data and task data associated with the objective. A message associated with the objective may be published on a social network feed.

Abstract: Disclosed are methods, apparatus, systems, and computer readable storage media for managing objectives in an organization. A server may receive an objective at a first level of an objective hierarchy. The objective may be associated with a completion indicator providing progress towards completing the objective. Other objectives at a lower level of the objective hierarchy may be determined. The other objectives may also include completion indicators. The progress of the completion indicator of the objective at the first level of the objective hierarchy may be based on the completion indicators of the objectives at the lower level of the objective hierarchy.

Abstract: Disclosed are methods, apparatus, systems, and computer readable storage media for managing objectives in an organization in a social network environment. A server may receive objective data and task data associated with the objective. A message associated with the objective may be published on a social network feed.

Abstract: The technology disclosed relates to tracking performance and initiatives of employees and providing real-time recognition for their successes and contributions through customizable recognition awards. In particular, it relates to automatically awarding recognition awards to an employee by evaluating the employee's current performance against progress features and exception features. The progress features indicate a progression of an individual across a work cycle and exception features indicate high performance of the individual during the work cycle. Thus the recognition awards are automatically awarded when the current performance of the employee evidences accomplishment of milestones or high performance.

Abstract: The technology disclosed relates to tracking performance and initiatives of employees and automatically and proactively providing personalized coaching based on each employee's performance. In particular, it relates to automatically issuing personalized performance enhancement insights to an employee by evaluating the employee's current performance against progress features and exception features through timely performance checks. The progress features indicate a progression of an individual across a work cycle and exception features indicate low or high performance of the individual during the work cycle. Thus the personalized performance enhancement insights are automatically awarded when the current performance of the employee evidences lags in progress, regression, or low or high performance.