Test what turns visitors into travelers
Use experimentation to optimize each step of the travel booking journey. Boost conversions, reduce drop-offs, and personalize the experience based on intent and behavior.
Optimize experiences to shorten sales cycles
Increase conversions from landing pages and appointment scheduling funnels by streamlining the path to each booking.
Use flicker-free A/B testing to optimize booking page copy, content and reassurance elements on high-friction pages.
Streamline the process of booking events or travel plan across web and mobile for faster bookings.
Personalize the user journey to show only the most relevant information to every reader.
Boost order value without disrupting the journey
Test upgrade and add-on offers at key points in the booking flow.
Drive upsells and cross-sells by promoting relevant offers, like First Class or insurance, to travelers most likely to convert.
Measure travelers’ purchase intention in real-time, and trigger promotions or service offerings, with Kameleoon predictive AI.
Turn traveler data into testable insights
From loyalty status to trip history, travel brands collect rich customer data. Use experimentation to activate these insights and improve conversion, retention, and service.
Personalize journeys by destination, booking value, or season based on your own custom data and segements.
Integrate Kameleoon with your data warehouses and CDP to unify data and build accurate visitor experience.
Track every test from a single dashboard, keeping important insights all in one place.
How we help hospitality brands optimize service
Deliver personalized, high-impact digital journeys that inspire event planners and travelers with Kameleoon’s experimentation platform.
“Thanks to Kameleoon, we have implemented systemic testing processes. Any changes we want to make are now tested to confirm that they are worthwhile and that should be implemented on our production website.”
Explore resources
How VeryChic accelerates experimentation with PBX
Customization vs Personalization: what are the differences and which should you choose?
Why bad data costs travel brands more than they think