RetailRecommendation & PersonalizationPublic Cloud

Finding that special something every time

PandoraDatabricks SQL · Delta Lake · Power BI

Pandora, the global jewelry retailer, built a master consumer view (MCV) dashboard on the Databricks Data + AI Platform to unify customer profiles, order data and web activity for personalized marketing across eight markets. This delivered an 80% growth in email marketing from personalization, a 50% increase in click-to-open rate across 65 million personalized emails, and DKK 255M in quarterly revenue driven by personalization.

Overview

Pandora, the global jewelry retailer, built a master consumer view (MCV) dashboard on the Databricks Data + AI Platform to unify customer profiles, order data and web activity for personalized marketing across eight markets. This delivered an 80% growth in email marketing from personalization, a 50% increase in click-to-open rate across 65 million personalized emails, and DKK 255M in quarterly revenue driven by personalization.

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The challenge

Their legacy data solution struggled to efficiently manage both the sheer volume of data and the complexity of it. Cross-team collaboration was not supported, and their legacy system, which required resource-intensive manual processes to build and train complex machine learning (ML) models, also slowed data science teams. It took more than a day for the data to go from the source to the very endpoint.

The solution

Pandora built their master consumer view (MCV) dashboard on the Databricks Data + AI Platform, giving marketers a better understanding of consumers across 11 different segments. Pandora leverages AI and machine learning models on Databricks to power automated product recommendation engines, sending over 65 million highly personalized emails annually.

Recommendation & PersonalizationPredictive Analytics

Reported business value

Pandora has seen a 50% increase in click-to-open rates compared to their standardized newsletters, are sending 65 million emails with personalized product recommendations a year, an 80% growth in email marketing efficiency, and generated DKK 255 million in quarterly revenue attributed to personalization.

Sources

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