Zeta Global has been granted a patent for a digital publication system that predicts consumer sentiment using demographic and engagement data. The system delivers targeted content to online consumers, utilizing a sentiment prediction model to enhance engagement through personalized recommendations. 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 July 2024 was 64%. Grant share is based on the ratio of number of grants to total number of patents.
Predicting consumer sentiment for targeted content recommendations
The patent US12073438B2 describes a digital publication system designed to deliver targeted content to online consumers through a network of vendor servers. The system utilizes one or more processors connected to datasets related to consumers, enabling the delivery of content that includes universal tags. These tags activate scripts when accessed by internet-enabled devices, allowing the system to collect data such as raw events, conversions, and cookies. This information is used to determine static and dynamic features, which are then employed to train a sentiment prediction model. The model assesses engagement probabilities for various sentiments, ultimately guiding the selection and display of creative elements that are likely to resonate with users.
Additionally, the patent outlines methods for determining user identities and exposure windows, which include detailed identifiers for the targeted content, sentiment tags, timestamps, and impression data. The system can handle different types of content, such as emails and display advertisements, and is capable of refining its predictions by selecting specific exposure windows for training the sentiment model. The inclusion of static features, such as location data and user attributes, further enhances the system's ability to tailor content effectively. Overall, the patent presents a comprehensive framework for optimizing digital content delivery based on consumer engagement and sentiment analysis.
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