Zeta Global has been granted a patent for an adaptive real-time modeling and scoring system. The system automatically generates predictive scoring models based on user-selectable input data like email, display, or social media traffic. It identifies changes in the data to refresh the model for calculating new lead scores and recommending pricing and strategies for display media bidding. 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 May 2024 was 32%. Grant share is based on the ratio of number of grants to total number of patents.

Adaptive real-time modeling and scoring system for lead generation

Source: United States Patent and Trademark Office (USPTO). Credit: Zeta Global Holdings Corp

A recently granted patent (Publication Number: US11972455B2) discloses an adaptive real-time modeling and scoring system designed to generate predictive scoring models. The system, comprising processors and memory, is capable of generating multiple predictive scoring models, identifying triggers for model consolidation, evaluating models based on heuristics, and refreshing models based on changes in user-selectable input data. The refreshed models are used to calculate new lead scores and recommend pricing and strategies for display media bidding. Additionally, the system can generate look-alike audiences based on existing consumer profiles, allowing for targeted marketing strategies.

Furthermore, the patent includes claims for a method and a machine-readable medium for performing adaptive real-time modeling and scoring. The method involves generating predictive scoring models, identifying triggers for model refresh, transforming user input data, and using the refreshed models to optimize marketing media purchases. It also includes generating look-alike audiences and adjusting predictive factors to adapt models to include quality classifications for publishers. The machine-readable medium contains instructions for performing these operations, emphasizing the system's ability to produce a range of look-alike segments with predefined attributes or behaviors. Overall, the patent highlights an innovative system for predictive modeling and scoring in real-time, offering valuable insights for marketing strategies and audience targeting.

To know more about GlobalData’s detailed insights on Zeta Global, buy the report here.

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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.