Managing data transmissions based on a user's digital footprint

A method comprising:

• determining, by a processing device, a digital footprint corresponding to a user, wherein the digital footprint indicates Internet activities performed by the user with a first user device and a second user device during a time period;
• determining, by the processing device and based at least in part on the digital footprint, a first transmission pattern in which first content was transmitted to the first user device during the time period, wherein the first transmission pattern resulted in the second user device performing an Internet activity corresponding to the first content;
• generating, by the processing device, training data that includes a relationship between (i) one or more characteristics of the first content and (ii) the first transmission pattern;
• training, by the processing device, a machine-learning-model using the training data to enable the machine-learning-model to predict a second transmission pattern in which to transmit second content that is different from the first content;
• providing, by the processing device, the second content as input to the machine-learning-model to obtain the second transmission pattern as output from the machine-learning-model;
• and
• causing, by the processing device, the second content to be transmitted to the first user device in accordance with the second transmission pattern.

A non-transitory computer-readable medium comprising program code that is executable by a processing device for causing the processing device to:

• determine a digital footprint corresponding to a user, wherein the digital footprint indicates Internet activities performed by the user with a first user device and a second user device during a time period;
• determine, based at least in part on the digital footprint, a first transmission pattern in which first content was transmitted to the first user device during the time period, wherein the first transmission pattern resulted in the second user device performing an Internet activity corresponding to the first content;
• generate training data that includes a relationship between (i) one or more characteristics of the first content and (ii) the first transmission pattern;
• train a machine-learning-model using the training data to enable the machine-learning-model to predict a second transmission pattern in which to transmit second content that is different from the first content;
• provide the second content as input to the machine-learning-model to obtain the second transmission pattern as output from the machine-learning-model;
• and
• cause the second content to be transmitted to the first user device in accordance with the second transmission pattern.