Abstract: A method for generating predictive insights for authoring messages is provided. The method includes receiving a message to be sent as an input. Key performance indicator (KPI) whose value is to be predicted for the message is identified from the input or marketing tool configuration. A plurality of feature vectors of the message are generated. KPI contributions for the plurality of feature vectors are determined using feature vectors of messages sent in past and tracked KPI values of the messages sent in past. The KPI contribution is a measure of contribution of feature vector to value of the KPI. Value of the KPI for the message is predicted by applying determined KPI contributions to the plurality of feature vectors. Apparatus for substantially performing the method as described herein is also provided.

Abstract: Systems and methods configure a set of sharing options in an electronic communication to be sent to recipients based on the recipients' sharing preferences. The sharing preferences may be generally applicable to all categories of content or may be specific to one or more specific categories of content. One embodiment involves identifying a category of content, identifying a sharing preference of a particular recipient for sharing that category of content, configuring a set of sharing options based on that sharing preference, and sending the sharing-preference targeted communication with the content to the recipient. The recipient receiving the communication and seeing his or her preferred sharing option available may use that option and share the content of the communication with others enhancing the distribution of the content. The recipient's most preferred sharing option may be more prominently displayed than others to further encourage sharing of the content by the recipient.

Abstract: A method for generating predictive insights for authoring messages is provided. The method includes receiving a message to be sent as an input. Key performance indicator (KPI) whose value is to be predicted for the message is identified from the input or marketing tool configuration. A plurality of feature vectors of the message are generated. KPI contributions for the plurality of feature vectors are determined using feature vectors of messages sent in past and tracked KPI values of the messages sent in past. The KPI contribution is a measure of contribution of feature vector to value of the KPI. Value of the KPI for the message is predicted by applying determined KPI contributions to the plurality of feature vectors. Apparatus for substantially performing the method as described herein is also provided.