Case Study: Stripe International Inc. achieves 160% of revenue targets and optimizes supply chain with Treasure Data

How Data-Driven Marketing Quickly Becomes a Company-Wide Habit

Stripe International Inc., an apparel retailer and lifestyle brand operator with dozens of labels (including “earth music and ecology”), food, hotel and subscription businesses, faced the challenge of unifying disparate customer data sources and improving advertising, customer acquisition and inventory decisions without cannibalizing sales across brands. The company needed to turn fragmented online, in-store, advertising and third‑party data into actionable customer insight to keep experiences fresh and forecast demand more accurately.

Stripe implemented the Treasure Data Customer Data Platform to build unified customer profiles, run predictive scoring, personalization and lookalike modeling, and then applied those insights to hyperlocalize inventory and automate interstore transfers and reordering. Within months of the April 2018 launch revenue attainment rose from ~90% to over 160% of target, labor savings from automated transfer management were estimated at ¥23.4M (~$220K) per year, and store staff reported higher efficiency and improved customer experience.

Stripe International Inc.

Shigeki Yamazaki

Advisor of the Digital Transformation Division