Case Study: PARCO achieves a 35% increase in store visits with Treasure Data's Customer Data Platform

A Treasure Data Case Study

Preview of the PARCO Case Study

PARCO Uses An Omnichannel Retail Customer Data Platform to Create a Better Future

PARCO, a 66‑year‑old Japanese shopping‑mall and department‑store operator with 18 locations, faced growing competition from eCommerce players and needed a scalable, data‑driven way to boost in‑store engagement and customer lifetime value. The challenge was to unify disparate digital and in‑store signals—loyalty, app activity, geolocation, IoT and survey data—to make brick‑and‑mortar shopping more convenient and relevant without losing the advantages of human customer service.

PARCO deployed the POCKET PARCO app and a Treasure Data customer‑data platform to unify omnichannel data, apply machine learning, and layer in gamification, geofence/ weather‑based push alerts and A/B testing. The program produced measurable gains: app “clips” correlated with a 35% higher store‑visit probability, geofence push notifications drove a 25% purchase rate, repeat‑purchase rates rose by 8% after targeted reminders, and PARCO amassed millions of reviews to help retailers improve service and CLV.


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PARCO

Naotaka Hayashi

Group Executive Officer ICT Strategy Office


Treasure Data

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