Charles Schwab Co., Inc.

Td Ameritrade IP Compnay, Inc.

Michelle Schroeder

Kevin Michael Wysocki

Logan Sommers Ahlstrom

Stephen Filios

Tajdar Shameem Siddiqui

A computer server includes processor and processing circuitry. The processing circuitry executes instructions to cause the computer server to select, from a database, a user from a plurality of users, encode a unique identifier for the selected user into an image uniform resource locator (URL), transmit a communication incorporating the image URL to a user agent associated with the selected user, receive, from the user agent, a hypertext transfer protocol (HTTP) request for an image associated with the image URL, parse the received HTTP request to identify whether an impression cookie is present, and in response to the impression cookie being present, extract a set of impressions from the impression cookie and generate a new impression cookie based on the extracted set of impressions.

Facilitating inter-system data transfer with serialized data objects

A method includes receiving client data of a client that includes at least one of clickstream data and analytic data of the client. For each of a number of trained machine learning (ML) models corresponding, respectively, to a number of campaigns, campaign-specific features are extracted from the client data, and a campaign interest prediction score is generated by inputting the campaign-specific features extracted for the ML model into the ML model. At least one campaign, from among the plurality of campaigns, is assigned to the client based on the generated campaign interest prediction scores. The clickstream data includes a plurality of pages visited by the client, and the analytic data of the client includes at least one of phone call data, chat message data, email data, or survey data of the client.

Machine-learning system for clickstream-based content interest prediction

A computer server includes processor and memory hardware. The processor hardware executes instructions including parsing a hypertext transfer protocol (HTTP) request from a first user agent to identify a first data object matching a set of characteristics and generating a new data element based on the HTTP request. The instructions include, in response to the first data object being present: extracting a first set of serialized data elements and serializing them with the new data element to generate a second data object. The instructions include, in response to the first data object being absent and a user associated with the first user agent being identifiable: determining a second set of serialized data elements based on an identity of the user, and serializing them with the new data element to generate the second data object. The instructions include transmitting an HTTP response including the second data object.

Facilitating inter-system data transfer with seralized data objects

A system for capturing impression data includes a server in communication with a user's computing device via a communications network. The server is configured to generate a pixel for embedding in a digital communication viewable in a web browser on the user's computing device. The pixel is served from a domain associated with the server. The server is configured to, in response to the digital communication being viewed in the web browser on the user's computing device, set a cookie on the user's computing device via the pixel. The cookie is configured to store data associated with one or more impressions of digital communications viewed on the user's computing device. The server is configured to, in response to the user's computing device accessing the domain via the web browser, receive the stored data associated with the one or more impressions from the cookie set on the user's computing device.

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O'Fallon, MO, United States of America

Michelle Schroeder