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Leading OTA increases booking by 22% with adaptive marketing

+22.95%

Booking count

Compared to a randomized control

+9.24%

Uplift in unique CTR

Compared to a randomized control

Background

A global online travel agency sends a weekly promotional email to tens of millions of users in over 40 languages. Before Eikona, personalization was limited to first-name and travel recommendations.

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Approach

Our variation engine generated dozens of email variants, adapting subject lines, preview text, hero images, and HTML layouts.

Each asset was created to balance two goals: leveraging previous performance data and maximizing creative exploration. The engine identified distinct vacation intents — such as business trips, family vacations, romantic getaways, or adventure travel — and tailored messaging strategies for each.

All creative assets were generated on-brand, respecting design, legal, and product constraints, and were seamlessly localized into 40+ languages — enabling native-quality experimentation at global scale.

01

Segment Discovery

After a series of guided tests 4 distinct segments were discovered. These segments, composing more than 46% of the entire population, demonstrated a strong and recurring positive reaction to specific creative languages.

02

Adaptive Campaigns, Not Blasts

We ran a three-stage optimization process on that email campaign over the course of 6 weeks:

→ STAGE 01: Exploration

Broad variation across copy, creative, and format

→ STAGE 02 : Denoising

Isolate signal from noise via controlled tests

→ STAGE 03: Exploitation

Deploy optimized creatives per segment

Campaign Case 1:

Top deals campaign

Segment-specific learning unlocks disproportionate gains.

By dynamically adjusting content based on behavioral and contextual signals, Eikona’s engine uncovered high-performing segments — with a compounding global booking uplifts of up to 22.95% when factoring in user location, previous bookings and loyalty status.

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+36.78%

Booking uplift by user location

+32.12%

Booking uplift by user location and loyalty tier

Geographically adaptive Underoutfit campaign example

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