Abstract: In some embodiments, the disclosed subject matter involves metrics collection and analysis to quantify customer engagement with an objective score to measure customer engagement in an c-learning system. Embodiments may generate a single engagement score as a one-number summary of e-learning product usage by a customer The one number summary may be generated as a normalized weighted sum of individual metrics scores. An embodiment may use activation, login, view, or other usage rates as part of the weighted sum. The weighted sum for a product customer may be normalized as compared to other customers for the same or similar product, where the other customer may be similar in size and/or industry to the target customer. An embodiment may use metrics relating to skills attained and applied as a skill assessment score. Other embodiments are described and claimed.

Abstract: Systems, devices, media, and methods are presented for identifying attributes among sets of user profiles to generate graphical user interfaces displaying data sets based on queries and the identified attributes. The systems and methods identify a set of common attributes among a subset of users and determine that a subset of user profiles for the subset of users contain a common characteristic. The systems and methods generate a cluster representation of the set of common attributes and determine one or more common attributes introduced into the subset of user profiles within a specified period of time. In response to determining the one or more common attributes, the systems and methods cause presentation of the one or more common attributes within a graphical user interface and cause presentation of one or more data sets associated with the one or more common attributes.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains a set of features associated with a sales lead for an educational technology product, wherein the set of features includes profile data from an online professional network. Next, the system uses the set of features to generate a set of quality indicators for the sales lead. The system then aggregates the quality indicators into a lead score representing a quality of the sales lead. Finally, the system outputs the lead score for use in managing sales activity with the sales lead.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains a set of features for a customer of an educational technology product. Next, the system uses the set of features to calculate an overall score representing a predicted purchase behavior of the customer with the educational technology product. The system then uses multiple subsets of the features to calculate a set of sub-scores that characterize different components of the overall score. Finally, the system outputs the overall score and the sub-scores for use in managing sales activity with the customer.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains a set of overall scores representing predicted purchase behaviors of a set of customers with an educational technology product. Next, the system displays a graphical user interface (GUI) comprising a customer prioritization chart for the educational technology product. The system then displays representations of the overall scores in the customer prioritization chart. Finally, the system displays, in the GUI, the set of overall scores and a breakdown of the overall scores into a set of sub-scores that characterize different components of the overall scores.