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The Thief hotel increases website conversion by 25% by using Predictive Personalization

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The Thief RR



Time period: 1 month



uplift conversion rate



savings in promotional spend



revenue from low-intent users



booking influenced

Member of Nordic Hotels & Resorts, a collection of luxury lifestyle independent hotels in the Nordics, THE THIEF is a modern hideaway located in the middle of downtown Oslo.

Working with THN since 2020, THE THIEF wanted to provide a unique and engaging online experience, and decided to explore an innovation technique: Predictive Personalization.

What is Predictive Personalization?

It's the concept of leveraging technology to optimize the user experience and increase hotel revenue simultaneously. This unique product follows a two step process comprised of a predictive algorithm, using machine learning, and personalized website campaigns, managed by THN’s experts.

With Predictive Personalization, hotels can easily adapt their commercial strategy on the fly, creating value-targeted campaigns and increasing direct bookings while reducing promotional costs.

A/B Test

The brand conducted an A/B test to validate the power and cost-effectiveness of Predictive Personalization. Only involving setting the value score for low-intent users, the test had the following parameters:

  • The group A was shown the exclusive offer, while it remained hidden for Group B.
  • 90% of the traffic was allocated to Group A, and 10% to Group B.
  • Users with a mid or high-intent to book were excluded.


Download the PDF to discover the full story.

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What messages were displayed?


Smart note home page A-B test THE THIEF

Smart Note in the Home Page


Displayed a discount to encourage low-intent users to book. Only shown to users with a 0 to 40% probability of completing a reservation.

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