Case Study: Sephora cuts data processing costs and unlocks better insights with Funnel

How Sephora cut costs and enhanced insights

Sephora, a global prestige omni-retail leader, was struggling with scattered marketing data across its European teams. Its central data team spent about one day each week manually collecting, consolidating, and analyzing reports, slowing down decision-making and limiting the ability to share insights with local markets. Sephora partnered with Funnel and Hanalytics to find a more efficient way to manage marketing data.

Funnel helped Sephora implement a modern data stack where marketing data was ingested, cleaned, and prepared before being sent to BigQuery, transformed in dbt, and visualized in Looker Studio. This cut data warehouse processing costs by 75%, saved hours every week for central and local teams, and gave 18 European teams access to richer reports and the same consistent data. As a result, Sephora improved collaboration, gained better insights, and freed its teams to focus on higher-value analysis.

Sephora

Célia Pinot

Performance Marketing Manager EMEA