Zeta Global. has filed a patent for a system that integrates digital advertisements across multiple platforms based on user requests. The system dynamically adjusts allocation data for each platform by analyzing webpage content using machine learning in real-time. 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 January 2024 was 63%. Grant share is based on the ratio of number of grants to total number of patents.
Dynamic digital advertisement integration and allocation system
The patent application (Publication Number: US20230394536A1) describes a system that includes a programmable processor and a machine-readable medium with processor-executable instructions. These instructions enable the processor to transmit a graphical user interface (GUI) to a user device, receive a request to deploy a digital advertisement on multiple platforms, integrate the advertisement directly with each platform based on allocation data, and dynamically adjust the allocation data for each platform. The dynamic adjustment involves running an in-browser script to analyze webpage data using machine learning, categorizing the data, and adjusting the allocation data based on the webpage classification. The system also allows for adjusting the number of advertisement units deployed on each platform and customizing the placement of the advertisement based on the user device's screen type.
Furthermore, the system can receive requests to adjust the allocation data post-integration of the advertisement, interface with platforms to make adjustments, and utilize a pre-trained machine learning model that is further trained in-browser. The method involves collecting data using URL crawlers and wrappers, ensuring concurrent linked downloads through a thread-safe queue, and stopping downloads that exceed specified limits. This innovative system and method provide a comprehensive approach to deploying digital advertisements across multiple platforms, optimizing allocation based on real-time webpage analysis and machine learning techniques, and ensuring efficient data collection and download processes for effective advertisement deployment.
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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.
