Abstract: A computer-implemented method for enhancing and utilizing user data derived from digital interactions includes receiving user submission data comprising records 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. The method includes generating a first dataset associated with the first user, generating a data model based on data in the first dataset and one or more correlations based on attributes in the first dataset, and generating a modeled dataset based on the data model.

Abstract: A computer-implemented method for enhancing and utilizing user data derived from digital interactions includes receiving user submission data comprising records 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. The method includes generating a first dataset associated with the first user, generating a data model based on data in the first dataset and one or more correlations based on attributes in the first dataset, and generating a modeled dataset based on the data model.

Abstract: A computer-implemented method for enhancing and utilizing user data derived from digital interactions includes receiving user submission data comprising records 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. The method includes generating a first dataset associated with the first user, generating a data model based on data in the first dataset and one or more correlations based on attributes in the first dataset, and generating a modeled dataset based on the data model.

Abstract: A computer-implemented method for enhancing and utilizing user data derived from digital interactions includes receiving user submission data comprising records 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. The method includes generating a first dataset associated with the first user, generating a data model based on data in the first dataset and one or more correlations based on attributes in the first dataset, and generating a modeled dataset based on the data model.

Abstract: A computer-implemented method for enhancing and utilizing user data derived from digital interactions includes receiving user submission data comprising records 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. The method includes generating a first dataset associated with the first user, generating a data model based on data in the first dataset and one or more correlations based on attributes in the first dataset, and generating a modeled dataset based on the data model.

Abstract: A computer-implemented method for enhancing and utilizing user data derived from digital interactions includes receiving a submission generated by input into a client side application interface by a first user on a first computing device, and determining, based on the attributes of the submission, that the submission is in response to an issue-specific communication advertising information concerning a first issue. The method includes generating a first dataset associated with the first user, searching one or more additional datasets for additional data to be associated with data elements of the first dataset, associating the additional data from the one or more additional datasets with the first user, generating a data model, and requesting records associated with additional users.

Abstract: A computer-implemented method for enhancing and utilizing user data derived from digital interactions includes receiving a submission generated by input into a client side application interface by a first user on a first computing device, and determining, based on the attributes of the submission, that the submission is in response to an issue-specific communication advertising information concerning a first issue. The method includes generating a first dataset associated with the first user, searching one or more additional datasets for additional data to be associated with data elements of the first dataset, associating the additional data from the one or more additional datasets with the first user, generating a data model, and requesting records associated with additional users.

Abstract: A computer-implemented method for enhancing and utilizing user data derived from digital interactions includes receiving a submission generated by input into a client side application interface by a first user on a first computing device, and 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, and that that the financial transaction related to the issue-specific communication is requested. The method includes generating a first dataset associated with the first user, searching one or more additional datasets for additional data to be associated with data elements of the first dataset, associating the additional data from the one or more additional datasets with the first user, and generating a data model corresponding to the first user.

Abstract: A computer-implemented method for enhancing and utilizing user data derived from digital interactions includes receiving a submission generated by input into a client side application interface by a first user on a first computing device, and 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, and that that the financial transaction related to the issue-specific communication is requested. The method includes generating a first dataset associated with the first user, searching one or more additional datasets for additional data to be associated with data elements of the first dataset, associating the additional data from the one or more additional datasets with the first user, and generating a data model corresponding to the first user.

Abstract: A computer-implemented method for enhancing user data derived from digital communications includes (1) detecting a transaction request from a first computing device in response to an issue-specific invitation, (2) generating a first dataset based on the transaction request, the first dataset including an issue-specific data element corresponding to the issue-specific invitation, (3) associating the first dataset with a user of the first computing device, (4) identifying a second dataset associated with the user, and (5) appending the second dataset to the first dataset to generate an appended dataset. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: A computer-implemented method for enhancing user data derived from digital communications includes (1) detecting a transaction request from a first computing device in response to an issue-specific invitation, (2) generating a first dataset based on the transaction request, the first dataset including an issue-specific data element corresponding to the issue-specific invitation, (3) associating the first dataset with a user of the first computing device, (4) identifying a second dataset associated with the user, and (5) appending the second dataset to the first dataset to generate an appended dataset. Various other methods, systems, and computer-readable media are also disclosed.