Case Study: Landal GreenParks achieves 127% booking uplift with Evolv AI

A Evolv AI Case Study

Preview of the Landal GreenParks Case Study

Landal GreenParks - Customer Case Study

Landal GreenParks, a European vacation-park operator with 85+ parks and 2.8 million annual guests, faced a challenge: determine whether inspirational imagery or conversion-focused CTAs and offers would drive more bookings across complex booking pages. Traditional A/B testing couldn’t scale to the 4,600+ possible design combinations, so Landal turned to Evolv AI’s AI-powered experimentation platform to run large-scale, rapid tests.

With Evolv AI, Landal tested 4,608 combinations across desktop and mobile (seen by over 16,000 visitors) while the platform continuously prioritized top-performing variants. The best design produced a 127% uplift in bookings (best desktop and mobile experiments delivered +163% and +175% respectively), delivered results up to 12x faster than traditional A/B testing, and provided actionable insights Landal will implement sitewide.


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Landal GreenParks

Mark Tijssen

Product Owner CRO


Evolv AI

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