Zuora had one patents in big data during Q4 2023. Zuora Inc’s patent involves storing subscription data for each tenant in a multi-tenant system in a common format, focusing on billing data rather than behavioral data. The system determines primary features from the data, derives secondary features, and generates a churn prediction model. By comparing more recent billing data to the model, subscribers at risk of churning can be 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 big data 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 multiple tenants in a common format, focusing on billing data rather than behavioral data. The system uses a churn prediction engine to identify churn-risk subscribers by generating churn prediction models based on primary and secondary features derived from the subscription datasets. This allows for the identification of subscribers at risk of churning based on recent billing data, enabling targeted interventions to reduce churn rates.
The multi-tenant system includes a churn prediction engine that uses a common machine learning algorithm to generate churn prediction models for different tenants. By analyzing primary features like date of last payment and subscription status, along with secondary features such as time since last payment, subscription billing amounts, and subscription history, the system can accurately identify subscribers at risk of churning. The system's ability to handle different tenants' data in a standardized format independent of third-party data integration ensures efficient churn prediction and risk mitigation strategies across various subscriber bases.
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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.
