Case StudiesFlyin.com Case study

Flyin.com Case study

Personalized Offers at The Right Time Re-Engaged New Potential Buyers

Online Travel Agency improves ROAS with Deep Learning-powered retargeting.

Client
Flyin logotype
Industry
Airplane symbol
Travel

Over

14:1

return on ad spend

74%

average campaign revenue growth

+33%

increase in retention rate

+23%

increase in overall conversion rate

Introduction

About the client

Flyin.com is the number one Online Travel Agency in Saudi Arabia. It is the one stop-shop for the Modern Traveler, both for flights and hotel bookings.

What they say about us

“RTB House delivered great results with their Deep Learning-based algorithms. They have proven that they are one of the leading technology companies that create personalized, retargeting campaigns. The professionalism of the RTB House team is remarkable. They are friendly and hard-working. It helps them to satisfy the needs of a customer. We recommend their work to all big e-commerce companies that want to have great personalized retargeting campaigns.”

Mohammed Alismail

Marketing Manager, Flyin.com

DESCRIPTION

The challenge

Flyin.com wanted to tie up with a retargeting partner that could help them to re-engage in-market travelers by showing them highly relevant offers at the right time. They wanted to increase a number of flight bookings, while maintaining high ROAS.

story

The solution

RTB House launched dynamic display retargeting campaign where every past visitor was shown personalized offers comprising of travel destinations that might interest them the most and inspire bookings. A RTB House’s technology powered by deep learning automatically formulated a tailor-made bidding model and offer-recommendation strategy based on user’s behavior and travel preferences.

User’s engaged with Flyin.com via various devices that included mobile phones, tablets, PCs and game consoles. Thanks to good campaign’s optimization conversions were maximized while maintaining client’s high ROAS goal.

Success

The result

  • The ROAS (Return on Ad Spend) of the campaign exceeded 14:1.
  • Approx. 90% of re-engaged users were New Potential Buyers (people who have never purchased anything from a client but might have put products in a basket in the past).
  • 74% average campaign’s Revenue Growth (month-on-month).
  • 33% increase in Retention Rate.
  • 23% increase in overall Conversion Rate.

CASE STUDIES

Inspiration from specific industries

Check out active RTB House ad campaigns that are super-charging results for businesses around the world.

OMD Uses Deep Learning to Bring over 4M Impressions for MEO

Sleek, Safe, and High-performance Branding Ads for Mercedes-Benz

Deep Learning Secures a 200% Uplift for Miinto