Zeta Global has been granted a patent for a computing system that allows for the integration of digital advertisements across multiple platforms. The system receives requests from user devices, deploys a graphical user interface (GUI), and interfaces with each platform to integrate the advertisements based on settings, parameters, and allocation data. The system also dynamically adjusts the allocation data for each platform using URL parsing, HTML metadata, and text classification. GlobalData’s report on Zeta Global 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 Zeta Global, Dynamic premium pricing was a key innovation area identified from patents. Zeta Global's grant share as of September 2023 was 63%. Grant share is based on the ratio of number of grants to total number of patents.
The patent is granted for a computing system for integrating digital advertisements with multiple platforms
A recently granted patent (Publication Number: US11769178B2) describes a computing system that enables the deployment of digital advertisements across multiple platforms. The system includes a programmable processor and a machine-readable medium with instructions that, when executed, allow the processor to perform various operations.
The system receives a request from a user device to execute an application and transmits a graphical user interface (GUI) to the device for display. The user device can then send a request via the GUI to deploy a digital advertisement. This request includes information such as the platforms on which the advertisement should be integrated, settings, parameters, allocation data, and a configuration for the campaign shell. The campaign shell allows for customized placement of the advertisement based on the screen type of the user device.
The system interfaces with each platform specified in the request and integrates the digital advertisement directly with them based on the provided settings, parameters, and allocation data. It also dynamically adjusts the allocation data for each platform. This adjustment involves using techniques such as URL parsing, HTML metadata analysis, and text classification. The system runs an in-browser script that crawls data from sub-URL webpages of each platform's website to create a cascading analysis. Machine learning is employed to process and categorize the crawled data, generating webpage classifications for each platform. The machine learning algorithm parses elements of the webpages, including images, text, and comments, and uses contextual cues to understand the meaning of the text or comments. The set of allocation data is then adjusted based on these webpage classifications.
The patent also describes additional features, such as adjusting the allocation data for specific platforms based on user requests and interfacing with platforms to adjust the number of advertisement units deployed on each platform.
Overall, this patent presents a computing system that enables the efficient deployment of digital advertisements across multiple platforms, with the ability to dynamically adjust allocation data based on webpage analysis and user requests.
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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.
