1. A computer-implemented method for enhancing and utilizing user data derived from digital interactions, at least a portion of the method being performed by a computing device comprising at least one processor, the method comprising: receiving, at an aggregation point comprising a database comprising at least one non-transitory computer-readable storage medium and configured to receive and aggregate user data from a plurality of sources, a submission generated by input into a client side application interface by a first user on a first computing device and transmitted from the first computing device to the aggregation point via at least one of a data transmission service and a data transmission provider; storing a record of the submission at the database; determining a path utilized to transmit the submission; determining attributes of the submission; determining, based on attributes of the submission: that the submission is in response to an issue-specific communication advertising information concerning a first issue, the issue-specific communication indicating a request for a financial transaction; that the financial transaction related to the issue-specific communication is requested; generating a first dataset associated with the first user by: associating the record of the submission with data related to the processing of the submission and with data indicating the path utilized to transmit the submission and the attributes of the submission; associating the record of the submission with an issue-specific data element corresponding to the issue-specific communication and the requested transaction; storing the first dataset at the database; searching one or more additional datasets for additional data to be associated with data elements of the first dataset, the additional data not being included in the first dataset prior to the searching the one or more additional datasets; analyzing the additional data from the one or more additional datasets based on at least one of characteristics and source of the additional data to eliminate incorrect data from the additional data; associating the additional data from the one or more additional datasets with the first user; generating a data model corresponding to the first user associated with the first computing device from the one or more additional datasets; determining whether characteristics of user data in the first dataset meet a predetermined threshold; receiving, at the aggregation point, additional user data associated with the first user; appending the one or more additional datasets and the additional user data to the first dataset to generate an appended dataset when the characteristics of the user data in the first dataset are determined to meet the predetermined threshold; storing the appended dataset at the database; requesting records associated with additional users, the records including data characteristics related to the appended dataset that are predictive of similarities between attributes of the first user and attributes of the additional users; storing the records associated with the additional users at the database; utilizing the stored records in further data modeling.