Machine learning models for data-placement analysis

A computer-implemented method for tracing web communications for web content data, the method comprising:

• obtaining, by a computer comprising one or more processors, interaction data for a plurality of end-users associated with web content data via one or more data sources, including conversion pixel data obtained via a graphical interface for the web content data associated with an end-user identifier;
• for each end-user,
• generating, by the computer, a feature vector for the end-user using the interaction data for the end-user, including an amount of data-placement instances and an amount of conversion instances indicated by the conversion pixel data;
• generating, by the computer, a modified feature vector for the end-user having the amount of data-placement instances as a forced-zero amount of instances and having the amount of conversion instances;
• generating, by the computer executing a machine-learning architecture, a first likelihood of conversion for the end-user using the feature vector and a second likelihood of conversion for the end-user using the modified feature vector;
• and
• computing, by the computer, a confidence score based upon a distance between the first likelihood of conversion and the second likelihood of conversion;
• generating, by the computer, an effectiveness rate for the web content data based upon each confidence score computed for each end-user;
• determining, by the computer, that the effectiveness rate satisfies a placement input threshold rate;
• and
• in response to receiving a request for next content data including the end-user identifier and an available web-content container and determining that the effectiveness rate of the next web content data associated with the end-user identifier satisfies the placement input threshold rate,
• generating, by the computer, a content placement input indicating the next web content data associated with the end-user identifier;
• and
• transmitting, by the computer, the content placement input indicating the next web content data to an external server hosting the available web-content container indicated by the request, for insertion of the next web content data into the available web-content container.