Zuora had two patents in digitalization during Q2 2024. Zuora Inc’s patent involves storing subscription datasets in a multi-tenant system with a common data format, focusing on billing data rather than behavioral data. The system determines primary features from the dataset, derives secondary features, and generates a churn prediction model. By comparing a more recent subscription dataset to the model, subscribers at risk of churning are identified and reported. GlobalData’s report on Zuora gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Zuora had no grants in digitalization as a theme in Q2 2024.
Recent Patents
Application: Systems and methods for predicting churn in a multi-tenant system (Patent ID: US20240161138A1)
The patent filed by Zuora Inc. describes a system and method for predicting subscriber churn in a multi-tenant system. The system stores subscription datasets for each tenant, determines primary and secondary features from the datasets, generates a churn prediction model, and identifies churn-risk subscribers based on billing data. The system uses a common machine learning algorithm to generate churn prediction models for different tenants, allowing for efficient and accurate churn prediction.
The system further includes features such as load balancing for concurrent access, the ability to handle different primary and secondary features for various tenants, and the use of common data formats native to the system. By utilizing billing data and not behavioral data, the system can accurately predict churn risk and report identified subscribers efficiently. Additionally, the system ensures that the machine learning algorithm used is consistent across different churn prediction models, enhancing the system's scalability and effectiveness in predicting subscriber churn in a multi-tenant environment.
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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.
