Case Study: Rokfin achieves 20% higher customer dashboard engagement and 60% lower data storage costs with Segment

How Rokfin uses Data Lakes to unlock new customer journey insights to power advanced dashboards

Rokfin is a subscription platform that helps content creators monetize their work using unique blockchain technology. To grow creator subscriptions and better understand user behavior, Rokfin needed unified access to behavioral and contextual data (from tools like Chargify, clickstream events, and S3), but their existing data warehouse limited integrations and prevented them from marrying datasets to produce advanced customer insights.

By adopting the Segment CDP and Segment Data Lakes, Rokfin moved raw data into Amazon S3, enabled direct querying, and combined behavioral with payment/subscription data to power internal and customer-facing dashboards. The change boosted customer dashboard engagement by 20%, cut data storage costs by 60%, reduced time spent on data architecture by about 20%, and removed the need for a traditional data warehouse.

Rokfin

Casey Kent

Lead Infrastructure Engineer