This document discusses how Segment, a customer data API provider, used predictive scores from Infer to optimize its free trial conversion process. Specifically, it leveraged predictive scores within its Zendesk customer support platform to prioritize tickets from users most likely to convert. This ensured timely support from sales and engineering for high potential customers. Segment also pulled predictive scores into its product roadmap to focus on features benefiting key customer segments. More broadly, the case study outlines how predictive insights can be applied across sales, support, and product management to improve business performance.