Capital One Financial’s patent involves a computer-implemented method for targeting bid and position for a keyword. By utilizing historical data and predictive models, the system generates bid information and transmits it to search engines. The technology aims to optimize keyword performance and bidding strategies. GlobalData’s report on Capital One Financial gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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According to GlobalData’s company profile on Capital One Financial, Virtual banking assistant was a key innovation area identified from patents. Capital One Financial's grant share as of April 2024 was 54%. Grant share is based on the ratio of number of grants to total number of patents.

Targeting bid and position for a keyword

Source: United States Patent and Trademark Office (USPTO). Credit: Capital One Financial Corp

A recently granted patent (Publication Number: US11966949B2) outlines a computer-implemented method for targeting bid and position for a keyword. The method involves requesting keyword performance information from a search engine, receiving historical keyword information, generating datasets, determining prediction functions, applying selection operations, and transmitting bid messages to search engines based on the target position and bid-to-position functions. The system also includes processes for updating selection operations, obtaining feature sets, and processing prior functions using Bayesian inference. The method aims to optimize bidding strategies and position targeting for keywords based on user interactions with webpages or links.

Furthermore, the patent describes a system and a non-transitory computer-readable medium storing instructions for implementing the method. The system includes a processor executing instructions to perform processes such as modifying databases, generating feature datasets, determining target positions, and transmitting bid messages. The method involves utilizing Gaussian Process Models, Thompson sampling reinforcement learning models, and backwards filtering models to optimize bid information and target positions for keywords. By tracking user interactions and historical bid position data, the system aims to enhance bidding strategies and improve the efficiency of keyword targeting in online advertising campaigns. The method outlined in the patent provides a comprehensive approach to optimizing bid and position targeting for keywords, ultimately aiming to improve the effectiveness of online advertising efforts.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.