Hosting and mining programmatic and non-programmatic data pipelines

A computer-implemented method for programmatic and non-programmatic communication, comprising:

• receiving, by one or more processors, first activity data associated with a first set of messages communicated by a first device via a first channel, and second activity data associated with a second set of messages communicated by a second device via a second channel, wherein the first channel represents a programmatic channel and the second channel represents a non-programmatic channel;
• extracting, by the one or more processors, a first set of feature vectors for each message of the first set of messages based on one or more first attributes of each message;
• extracting, by the one or more processors, a second set of feature vectors for each message of the second set of messages based on one or more second attributes of each message, the one or more second attributes comprising a user identifier associated with each message of the second set of messages;
• generating, by the one or more processors, a correlation value based upon comparing a first feature vector from the first set of feature vectors with a second feature vector from the second set of feature vectors, the correlation value indicating a probability that a first message corresponding to the first feature vector is associated with a second message corresponding to the second feature vector;
• and
• generating and transmitting, by the one or more processors, display data for display via a graphical user interface (GUI) of at least one of the first device or the second device based on the correlation value satisfying a user correlation threshold.

A non-transitory, computer-readable medium storing instructions thereon for programmatic and non-programmatic communication that, when executed by one or more processors, cause the one or more processors to:

• receive first activity data associated with a first set of messages communicated by a first device via a first channel, and second activity data associated with a second set of messages communicated by a second device via a second channel, wherein the first channel represents a programmatic channel and the second channel represents a non-programmatic channel;
• extract a first set of feature vectors for each message of the first set of messages based on one or more first attributes of each message;
• extract a second set of feature vectors for each message of the second set of messages based on one or more second attributes of each message, the one or more second attributes comprising a user identifier associated with each message of the second set of messages;
• generate a correlation value based upon comparing a first feature vector from the first set of feature vectors with a second feature vector from the second set of feature vectors, the correlation value indicating a probability that a first message corresponding to the first feature vector is associated with a second message corresponding to the second feature vector;
• and
• generate and transmit display data for display via a graphical user interface (GUI) of at least one of the first device or the second device based on the correlation value satisfying a user correlation threshold.