EMAIL OPTIMIZATION FOR PREDICTED RECIPIENT BEHAVIOR: DETERMINING A LIKELIHOOD THAT A PARTICULAR RECEIVER-SIDE BEHAVIOR WILL OCCUR

摘要

Techniques are described herein for predicting one or more behaviors by an email recipient and, more specifically, to machine learning techniques for predicting one or more behaviors of an email recipient, changing one or more components in the email to increase the likelihood of a behavior, and determining and/or scheduling an optimal time to send the email. Some advantages of the embodiments disclosed herein may include, without limitation, the ability to predict the behavior of the email recipient and suggest the characteristics of an email which will increase the likelihood of a positive behavior, such as a reading or responding to the email, visiting a website, calling a sales representative, or opening an email attachment.

主权项

1. A system comprising:
a memory; one or more processors coupled to the memory and configured to:
obtain feedback, for each previously sent message in a plurality of previously sent messages, whether a receiver-side behavior occurred relative to the previously sent message;train a machine learning model based on one or more features associated with each previously sent message in the plurality of previously sent messages, and whether the receiver-side behavior occurred relative to the previously sent message;present on a display, to a message creating user, an interface for drafting messages;receive user input through the interface, from the message creating user, that specifies textual content for a draft message; andbefore the message creating user has sent the draft message drafted by the message creating user:
predict, based on the machine learning model and one or more features associated with the draft message, whether a particular receiver-side behavior will occur relative to the draft message;generate an indication that conveys whether the particular receiver-side behavior will occur relative to the draft message; andcause the indication with the draft message to be presented on the display to the message creating user;predict, based on the machine learning model and one or more features associated with a modified draft message, whether the particular receiver-side behavior will occur relative to the modified draft message, wherein the modified draft message is produced by performing a modification to the draft message;generate a second indication that conveys whether the particular receiver-side behavior will occur relative to the modified draft message; andcause the second indication with the modified draft message to be presented on the display to the message creating user.