Case Study: DefShop achieves better customer experience and higher conversion with ODOSCOPE

Better customer experience through efficient use of existing data

DefShop, one of Europe’s largest online shops for urban fashion, faced the challenge of serving a huge and fast-growing product catalog to many unknown visitors driven by search and social media traffic. With product lists previously sorted mainly by recency, shoppers often had to search extensively to find relevant items, despite DefShop having large volumes of historical tracking data available. To address this, DefShop turned to ODOSCOPE.

ODOSCOPE implemented situational personalization using operational intelligence, consolidating tracking and product data from multiple silos to predict visitor needs based on context such as time, device, referrer, and geolocation. The system then automatically re-sorted product lists in real time, also factoring in attributes like purchase history, brand affinity, inventory, and return rates. DefShop reported above-average uplifts in conversion rates, shopping carts, and sales, while also reducing manual effort through fully automated processes.

DefShop

Matthias Spangenberg

Head of Online-Marketing