User behavior data at PayPal is a competitive differentiator, leveraged for analyzing product performance, and for providing a better customer experience. To sustain the competitive advantage, it is necessary for the behavior analytics platform to be robust and usable while meeting the ambitious time-to-insights demands of the analysts. The analytics platform at PayPal consists of various phases – namely data collection, data transformation, and insights generation. Druid is the mainstay of the insights generation phase enabling data-driven decision making in real-time. It is being used to support multiple analytics use cases and is deployed in Lambda Architecture mode. Key Takeaways: This talk will cover various behavior analytics use cases at PayPal, how Druid is powering those use cases in real-time, and challenges faced.