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This recipe will walk you through using the data collected from Twilio Segment as the basis for experimentation using a tool like Statsig. We’ll walk through how to measure a purchase conversion funnel, design an experiment to maximize a success metric (purchase event), and glean insights based on user actions to optimize experiences going forward.

A patient’s path to obtaining healthcare services is more complex than ever, often involving a variety of online channels, including app and website interactions and offline channels, such as hospital, claims, and a data warehouse. You can stitch the data from these sources together using Twilio Segment, and build a unified patient profile that your patient care teams can use to drive positive health outcomes. In this recipe, we’ll show you how Twilio Segment can help you take your offline and online data from Twilio Segment and Twilio and join it all together to get a 360-degree picture of the patient journey. We’ll use the example of a patient who engages with your website to locate a family medicine doctor in their area (online) and then book an appointment over the phone (via Twilio).