The answer will surprise you. Over the last few years I have analyzed churn at more than 50 companies, in my roles as Chief Data Scientist at Zuora. What I have found is the way to stop churn with data science doesn’t involve using the latest AI technology... What works best is a return to a traditional notion of “science”: test some hypotheses about subscribers and churn and then communicate the results to the people who actually prevent churn: product and content creators, marketers and customer representatives.
Hello, I’m Ruibin Wu, and I’m a Senior QA Engineer at Zuora. This blog post describes how we implemented a Serverless Application called Periscope to track the microservices deployments by using AWS API Gateway and AWS Lambda function.
I’m Chunlei Wang, and I’m a technical writer on Zuora’s API Reference project. My blog post digs into the technology behind the API Reference and the challenges involved in deploying it, involving the efforts of many different teams within Zuora.
Hi. I'm Marcelo Rinesi, Data Scientist for the Insights team. Insights is a fantastic visualization and analysis tool that combines Zuora data with data from external sources, such as Salesforce and customers' own applications. Unfortunately, you cannot really see the power of Insights until you've plugged data into it, and customers want to see what it does before doing that. This post is about how we solved this chicken-and-egg problem by creating our own customer simulator.