Zuora had three patents in digitalization during Q4 2023. Zuora Inc’s patent involves storing subscription data in a common format for each tenant in a multi-tenant system, focusing on billing data rather than behavioral data. The system analyzes primary features from the data, derives secondary features, and creates a churn prediction model. By comparing more recent billing data to the model, subscribers at risk of churning are identified and reported. GlobalData’s report on Zuora gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Zuora grant share with digitalization as a theme is 33% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Systems and methods for predicting churn in a multi-tenant system (Patent ID: US20230368222A1)
The patent filed by Zuora Inc. describes a system for storing subscription datasets for each tenant in a multi-tenant system, focusing on billing data rather than behavioral data. The system uses a churn prediction engine to identify churn-risk subscribers based on primary and secondary features derived from the datasets. By generating churn prediction models and analyzing recent billing data, the system can effectively predict and report subscribers at risk of churning. The system also supports load balancing for concurrent access by multiple tenants and subscribers, ensuring efficient performance.
Furthermore, the system allows for the use of a common machine learning algorithm across different tenants, enabling the generation of churn prediction models without the need for third-party data integration. The primary features used for churn prediction include the date of the last payment and subscription status, while secondary features may include measures related to payment history and subscription details. By utilizing regression analysis and specific features from the subscription datasets, the system can accurately identify and report churn-risk subscribers, enhancing the overall efficiency and effectiveness of subscriber management within a multi-tenant system.
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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.
