Systems and methods for prefetching and transmitting intermediary content to user devices

A computer-implemented method of transmitting intermediary content to a user device, the method comprising:

• receiving, by a content decision system, a periodic signal from the user device, wherein the periodic signal indicates a recent activity status of the user device;
• in response to receiving the periodic signal, updating, by the content decision system, a user map with the recent activity status of the user device;
• providing, by one or more processors, the user map to a machine-learning model, wherein the machine-learning model has been trained, using one or more gathered and/or simulated sets of user maps, to identify activity patterns within the user map and output a predicted activity status;
• receiving, by the content decision system, a request to transmit intermediary content to the user device;
• and
• transmitting a set of cached intermediary content to the user device based on the predicted activity status.

A system for transmitting intermediary content to a user device, the system comprising:

• a memory storing instructions;
• and
• one or more processors operatively connected to the memory and configured to execute the instructions to perform operations including:
• receiving, by a content decision system, a periodic signal from the user device, wherein the periodic signal indicates an activity status of the user device;
• in response to receiving the periodic signal, updating, by the content decision system, a user map with the activity status of the user device;
• receiving, by the content decision system, a request to transmit intermediary content to the user device;
• in response to receiving the request to transmit intermediary content, determining, by the content decision system, that the activity status of the user device in the user map is an active status;
• and
• transmitting a set of cached intermediary content to the user device.