Email optimization for predicted recipient behavior: suggesting a time at which a user should send an email

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:
for sent each sent message in a plurality of sent messages:
determine a group associated with the sent message;determine a sent time for the sent message;determine an opened time for the sent message;train a machine learning model based, at least in part, on the sent time, the opened time for the sent message, and the group associated with the sent message;determine a desired opening time for a draft message;determine a particular group based on the draft message;determine, based on the machine learning model, the particular group associated with the draft message, and the desired opening time, a predicted time at which the draft message should be sent to increase likelihood the draft message will be opened at the desired opening time.