Case Study: PANDORA achieves 50% higher email engagement and DKK 255M in revenue with Databricks Lakehouse

Finding that special something every time

Pandora, the global jewelry brand with hundreds of millions of annual visits, needed to make its shopping experience as personal as its products but was held back by a fragmented, slow legacy data stack. Siloed teams, resource‑intensive ML workflows and day‑long data latency prevented effective segmentation, targeting and cross‑team collaboration, blocking the company’s ability to deliver consistent personalized customer journeys.

Pandora implemented the Databricks Lakehouse Platform and built a Master Consumer View (MCV) fed into Power BI, unifying profiles, orders and web activity so marketers and analysts can collaborate and run queries in hours instead of days. The change enabled scalable personalization across eight markets, powering 65 million personalized emails a year and delivering a 50% lift in click‑to‑open rates, 80% growth in email marketing and DKK 255M in quarterly revenue attributable to personalization.

PANDORA

Numan Ali

Solution Architect, Data and Analytics Center of Excellence