Case Study: Dance reduces customer acquisition costs by 20% with Fivetran

Dance reduces customer acquisition costs by 20% with Fivetran

Dance, a German-headquartered mobility startup, needed a better way to centralize and analyze data across its business. Before using Fivetran, Dance relied on a limited replica database and basic reporting, which constrained access to backend data and made it difficult for teams to understand marketing performance, optimize pricing, and manage operations effectively.

With Fivetran, Dance quickly integrated sources like PostgreSQL, Stripe, Google Ads, TikTok Ads, Google Sheets, and others into its warehouse, then used dbt Core and Looker for transformation and reporting. Fivetran helped Dance reduce customer acquisition costs by 20% within four months, save nearly €65,000 per year by avoiding a full-time pipeline engineer, and enable self-service analytics for about 80% of employees.

Dance

Bruno Pinto de Sá

Data Engineer