Treasure Data
20 Case Studies
A Treasure Data Case Study
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.
Naotaka Hayashi
Group Executive Officer ICT Strategy Office