Systems and methods for health care provider engagement

A system for enhancing a user's engagement or action with a target customer to increase marketing effectiveness, the system comprising:

• a server in communication with one or devices associated with the target customer;
• and
• a memory storing instructions that, when executed by the server, cause the server to perform operations comprising:
• receiving customer data from the one or more devices associated with the target customer,
• wherein the customer data comprises information pertaining to one or more actions taken by the target customer in response to at least one message sent by the user to the target customer, wherein the message is associated with marketing or sales of a pharmaceutical product;
• aggregating the customer data from the one or more devices over a plurality of different time periods;
• and
• analyzing the aggregated customer data with aid of a machine learning algorithm to determine one or more recommendations to the user for enhancing the user's engagement or action with the target customer, wherein the one or more recommendations comprise (1) temporal insights and (2) contextual insights for increasing a likelihood of the user effectively engaging or interacting with the target customer relating to the marketing or sales of the pharmaceutical product.

A non-transitory computer-readable storage medium including instructions that, when executed by a server, cause the server to perform operations comprising:

• receiving customer data from one or more devices associated with the target customer, wherein the customer data comprises information pertaining to one or more actions taken by the target customer in response to at least one message sent by the user to the target customer, wherein the message is associated with marketing or sales of a pharmaceutical product;
• aggregating the customer data from the one or more devices over a plurality of different time periods;
• and
• analyzing the aggregated customer data with aid of a machine learning algorithm to determine one or more recommendations to the user for enhancing the user's engagement or action with the target customer, wherein the one or more recommendations comprise (1) temporal insights and (2) contextual insights for increasing a likelihood of the user effectively engaging or interacting with the target customer relating to the marketing or sales of the pharmaceutical product.