Case Study: Westwing boosts marketing ROI and saves engineering time with Fivetran

Westwing boosts marketing ROI with Fivetran

Westwing, a European home and living eCommerce leader, needed to replace a time-consuming on-premise, Python-heavy data integration setup as it moved to the cloud with Snowflake. With limited data engineering resources and an ambitious migration deadline, the company wanted a faster way to centralize data and create a clearer view of customer behavior, website activity, and marketing performance. Fivetran’s automated ELT platform and pre-configured connectors were chosen to simplify and accelerate access to data.

Using Fivetran, Westwing connected marketing, analytics, and CRM sources such as Facebook Ads, Pinterest Ads, Google Analytics 360, Salesforce, and Braze into Snowflake. This improved visibility into campaign effectiveness and customer interactions, helping the team optimize paid marketing ROI and make more data-driven decisions. Fivetran also saved Westwing 40 hours of engineering time per week, reduced manual pipeline maintenance, and gave the business a more scalable, future-proof data architecture.

Westwing

Christian Manrich

Business Intelligence Engineering Manager