Email optimization for predicted recipient behavior: suggesting changes that are more likely to cause a target behavior to occur

A system comprising:

• a memory;
• one or more processors coupled to the memory and configured to:
• receive an original draft message before the original draft message is presented to an intended recipient;
• wherein a first text within at least one field of the original draft message has a first wording composed by a sending user,
• determine that the original draft message belongs to a particular category based, at least in part, on a machine learning model;
• select an alternative text that has been previously used in messages that belong to the particular category, and has experienced a higher rate of provoking a target behavior than the first text;
• determine a second text to present to the sending user based, at least in part, on the alternative text;
• wherein the second text to present to the sending user has a second wording;
• wherein the second text to present to the sending user is determined based, at least in part, on stored behavior data that indicates the second wording is more likely than the first wording to cause a recipient to perform the target behavior;
• wherein the second wording is different than the first wording;
• and
• present the second text to the sending user.