Case Study: Tradesy achieves fine-grained customer insights and saves 6+ months of engineering time with Segment

How Tradesy turned browsers into buyers with more customer insights

Tradesy, a peer-to-peer marketplace for luxury clothing and accessories, needed a clearer, user-level view of customer behavior than Google Analytics could provide. GA only offered aggregated, anonymized conversion metrics, leaving the team unsure why shoppers bounced or where they abandoned checkout. Building an in-house data pipeline would have required three engineers and six months of work.

Tradesy implemented Segment to capture granular events across web and mobile and routed data into Amazon S3 and BI tools like Interana and Tableau. This shifted their event tracking from about 5 points to 100, cut time-to-insight from weeks or months to minutes, and saved the equivalent of over six months of engineering effort. The insights drove a targeted checkout redesign, improved mobile conversion strategies, and freed engineers to focus on bot filtering and real‑time recommendations.

Tradesy

Geoff Apps

CTO