Case Study: Luxury Escapes achieves personalised marketing revenue growth with Fivetran

Luxury Escapes drives millions in revenue with personalised marketing

Luxury Escapes, a premium global travel brand, needed a way to keep up with rapid growth while improving how quickly its teams could act on customer behavior. By migrating its data platform to BigQuery and using Fivetran to integrate data from sources like PostgreSQL, Facebook Ads, Stripe, Salesforce, and Snowplow, the company aimed to support faster decision-making without the overhead of custom pipeline maintenance.

With Fivetran, Luxury Escapes moved to automated, near real-time data syncs that powered personalized marketing, pricing optimization, and more advanced analytics. The results included millions in annual revenue from personalized campaigns, hundreds of thousands more from a pricing feature, and hundreds of engineering hours saved, all while building a trusted data foundation for AI and continued growth.

Luxury Escapes

Richard Biddle

Data Platforms Engineering Manager