Use of machine-learning models in creating messages for advocacy campaigns

A method performed by a computer system having at least one processor and a memory, the method comprising, the computer system:

• maintaining one or more databases that store data comprising:
• a record for each person of a plurality of people;
• for each person, a plurality of personal profile characteristics specific to the person;
• a record for each message template of a plurality of message templates, wherein each message template comprises one or more variable fields for receiving message characteristics and one or more static fields storing content common to all messages based on the message template;
• a record for each message of a plurality of messages, wherein the each message was previously sent by a sending person of the plurality of people to a receiving person of the plurality of people based on one of the plurality of message templates, the each message including a respective request by the sending person for the receiving person to perform an action;
• and
• for each message of the plurality of messages, an indication of an outcome of the request by the sending person for the receiving person to perform the action;
• training a machine learning model based on a portion of the stored data, wherein the trained machine learning model is configured to select a subset from plural message characteristics using input based on:
• a message template comprising one or more variable fields for receiving message characteristics and one or more static fields storing content common to all messages based on the message template;
• a set of personal profile characteristics specific to a sending person;
• and
• a set of personal profile characteristics specific to a receiving person;
• and
• for each pair of a plurality of pairs of a sending person and a receiving person selected from the plurality of people, the sending person being selected to send a message based on a current message template to the receiving person:
• receiving a subset selected from plural message characteristics in response to providing input to the trained machine learning model, the input being based on the current message template, the set of personal profile characteristics specific to the sending person, and the set of personal profile characteristics specific to the receiving person;
• integrating the selected set of message characteristics into a new message based on the current message template;
• and
• causing the new message to be sent by or on behalf of the sending person to the receiving person.