E-commerce best practices often don't help with a trip that costs €2,400, and sometimes they hurt. Here are six reasons why travel follows its own rules, and why we don't start with a checklist but with your booking flow and your customer data.
Industries · Travel & Tourism
Conversion optimization for travel and tourism companies
We understand why your travelers hesitate, and what gets them to book. Tour operators, cruise lines, airlines, portals and hotel groups work with us because we deliver both: the psychological diagnosis of why a booking flow loses revenue, and the implementation that fixes it. With A/B testing, consumer psychology and user research, and we stay until it works.
A trip is not a shopping cart. Customers compare across ten tabs, need trust before they pay, and decide over days. In the end, you get more than a better test: a team that understands for itself what moves its customers.
Cruises
Air & rail
Tour operators & portals
Accommodation
Ticketing
Since 2006 · Clients from cruise, airline, rail, hospitality and ticketing
In the travel industry since 2006
Cruise, airline, rail, hotel, ticket
The difference
Why a travel booking flow doesn't work like an online store
What sets travel apart
Six factors that separate travel from classic e-commerce
FACTOR 01
Long decision cycles
Bookings are not impulse purchases. Customers research over days and across several devices before they commit money or vacation time. That's why we measure returning visitors and booking probability, not just session conversion.
FACTOR 02
Comparing is the norm
Travelers open ten tabs. Your offer page is measured against OTAs, metasearch and review portals at that very moment. Price alone rarely wins, but a clear offer does.
FACTOR 03
A product you can't touch
What's being bought is an experience that only happens months from now. Doubts about the destination, the provider and the question “what if something goes wrong” slow the decision more than any question about price.
FACTOR 04
Complexity in the configurator
Dates, departure airports, room and cabin categories, extras: every additional option is a chance to drop off. On mobile, the effect multiplies.
FACTOR 05
Trust comes before money
Cancellation terms, the travel insolvency protection certificate, payment methods and real reviews weigh more than a discount. Show security only at checkout and you lose customers before they get there.
FACTOR 06
Seasonality and offline closing
Demand fluctuates strongly, and many bookings end in the call center or travel agency. Tests therefore need longer run times and tracking that follows the lead through to closing.
Where we optimize
From inspiration to post-booking: where travel customers drop off
We map your specific journey and test the stages that move revenue. No standard program applied the same way to every travel portal.
01
Inspiration and destination pages
Make the offer clear, reduce uncertainty, trigger the search. Typical tests: entry by travel occasion instead of region, making price anchors visible, showing reviews early.
02
Search and results list
Filter logic, sorting and “why this offer” framing, so customers compare on your site instead of at the OTA. Typical tests: default sorting, availability signals, comparison feature.
03
Offer page and configurator
The biggest lever for complex products. Typical tests: order of options, preselection, price transparency for extras, room and cabin selection on mobile.
04
Inquiry and consultation forms
For trips that need advice: form length, progress indicator, reassurance and the right moment to ask for contact details. Measured through to closing in sales.
05
Booking and payment
Reduce abandonment with trust signals, clear cancellation terms, suitable payment methods and guest data in a sensible order. Typical tests: cancellation terms in checkout, installment payment, guest checkout.
06
After the booking
Extras, insurance, transfers, excursions and rebooking. This is often where more margin lies than in the first purchase.
Consumer psychology instead of best practices
The psychology behind a booking
Before we test, we understand why your customers hesitate. Our Behavior Pattern Model provides evidence-based behavior patterns for this. For travel, these five are decisive.
Loss aversion and zero-risk bias
“What if I have to cancel?” Hypothesis: Showing free rebooking on the offer page instead of only at checkout increases the booking start rate.
Social proof
“Do people like me go there?” Hypothesis: Reviews filtered by trip type (family, couple, solo) reduce drop-offs on the offer page.
Anchoring
“Is this a good price?” Hypothesis: A price anchor, such as a comparison offer or catalog price, increases the perceived fairness of the target price.
Decision paralysis
“Which of the 40 options is the right one?” Hypothesis: A recommended preselection in the configurator reduces abandonment and increases extras.
Commitment and consistency
“I've already entered so much.” Hypothesis: Small first steps such as travel date and number of travelers before contact details increase form completion.
Case Study
+15.3% revenue per visitor with one concept per culture
An international vacation rental provider sells through 15 country shops that share one template. A new variant brought 12.5% more bookings in Germany and 14.7% fewer in Switzerland. With a dedicated concept for Swiss customers, the booking rate there rose 13.5% and revenue per visitor rose 15.3%.
+15.3% revenue per visitor
+13.5% booking rate
One concept per culture for 15 country shops
Voices from the travel industry
What our travel clients say
How we work with travel companies
The strategic depth of a consultant, the delivery strength of an agency
Pure consulting ends with a recommendation nobody implements. Pure implementation builds what was ordered without checking whether it solves the problem. We do both: we make the psychological diagnosis and stay until it works. And we tell you when something isn't working.
Enabling and in-housing: We build team, process and tooling until your people test independently. In the end, you don't get a number of tests but an organization that understands its customers.
Full service experimentation: Research, hypotheses, design, development, QA and analysis with sound statistics, when you lack your own capacity or want to build it.
Redesign validation: test-backed validation of the critical steps of a new booking flow.
Personalization: segmentation by travel occasion, source market and purchase phase.
Enterprise-proven: Server-side testing, consent-compliant tracking and multi-brand setups are everyday work for us.
Travel CRO FAQ
Frequently asked questions about conversion optimization in the travel industry
We plan tests in full weekly cycles, avoid run times that span booking peaks, and analyze by segment rather than overall averages. A test that wins during the early-booking phase isn't rolled out ahead of last-minute weeks. It gets validated again.
Yes, with an adapted method. We test where the sample is large, in search and on the offer page, measure intermediate steps instead of only the final booking, and add user research. Statistical planning shows up front which effects are detectable at all.
We connect onsite behavior with lead quality: inquiries are tracked through to closing in the CRM, and tests are evaluated on qualified inquiries and contribution margin, not on form submissions.
Often, yes, and we help with that. That's exactly our enabling model: we help build team, process and tooling instead of creating a dependency. What an in-house team rarely brings is the consumer psychology diagnosis and the statistical safeguards. We pass on both until your people can do it themselves. Clients like freenet and Consorsbank have built their own conversion teams this way.
Yes. Server-side testing, consent management, and multiple brands and markets in one setup are standard projects with large enterprises in travel, telecommunications, banking and retail.
With the Rapid Growth Engine, the first test can run after about two weeks, depending on your approval process. Reliable patterns show up after about three months. An enabling program is designed to run six to twelve months, until your team works independently.
Get in touch
We show you where your customers drop off
In 30 minutes, we walk through your booking flow together: destination pages, search, configurator or checkout. You get three concrete hypotheses we would test first, whether or not we end up working together. We reply within 48 hours.
