Zuora had two patents in ecommerce during Q4 2023. Zuora Inc’s patent involves storing subscription datasets in a multi-tenant system with a common data format, focusing on billing data. Primary features are determined from the dataset, secondary features are derived, and a churn prediction model is generated. By comparing a more recent subscription dataset, 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 ecommerce as a theme is 0% 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 using a common machine learning algorithm, the system can efficiently analyze data from different tenants. The system can handle concurrent access from multiple tenants and subscribers, ensuring load balancing and scalability.
Furthermore, the system allows for the identification of churn-risk subscribers by analyzing more recent billing data compared to previous datasets. The churn prediction engine can generate different churn prediction models for various tenants, ensuring personalized risk assessment. By utilizing primary features like the date of the last payment and subscription status, along with secondary features such as the length of time since the last payment, the system can provide comprehensive churn-risk reports. Overall, the system offers a robust and scalable solution for predicting subscriber churn in a multi-tenant environment, enhancing customer retention strategies and improving overall business performance.
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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.
