Company GetYourGuide
Role Lead Product Designer
Key outcome +11% conversion
Growth & CRO / GetYourGuide / Checkout

+11% checkout conversion and €8–12M annual impact. Rebuilt the checkout experience by fixing what nobody was measuring.

Sole designer on the checkout funnel for one of the world's largest travel experience platforms. 150M+ travelers, 4 EU markets. I owned research, hypotheses, experiment design, and analysis end-to-end.

+11%Relative conversion uplift
€8–12MAnnual revenue impact
10A/B experiments shipped
72%Of uplift from mobile
Funnel overview with drop-off rates per step

Complete funnel. I quantified the economic cost of every drop-off point. My scope: everything from add-to-cart through payment processing.

01 Context

Checkout funnel, end-to-end.

GetYourGuide processes millions of bookings per year across multiple European markets. The checkout funnel, from add-to-cart through payment confirmation, was the highest-leverage surface in the product. Strong acquisition, weak conversion.

Scope Role: Lead Product Designer
Scope: Checkout funnel (end-to-end)
Users: 150M+ travelers
Markets: 4 EU markets
Work: Research, hypotheses, experiment design, analysis
02 The Real Problem

Everyone was optimizing the wrong step.

The team was focused on the payment form. The real problems were elsewhere. Three things were silently killing conversion:

  • Pricing felt inconsistent and untrustworthy. Users were looping between checkout and product page, trying to validate the price. "All taxes included" wasn't enough. They wanted to see the math.
  • Mobile transitions were breaking user flow. Each step was a separate page load. Users lost visual context of their order, the timer, and their progress. 65% of traffic was mobile.
  • Payment defaults didn't match local behavior. Credit card showed first globally. In the Netherlands, 72% of online payments use iDEAL. In Poland, BLIK dominates. Users scrolled past an entire form they didn't want.
Experimentation roadmap
Cart interaction map

Experimentation roadmap and cart interaction map. Every experiment traces to a specific behavioral signal.

03 Key Insight

The biggest opportunity wasn't in the payment form. It was in everything leading up to it.

Users weren't dropping because of friction. They were dropping because of doubt.

Session recordings showed the same pattern: users reached checkout, hesitated, scrolled back to verify pricing, lost context on mobile reloads, and abandoned. The payment form was fine. The problem was that users arrived at it uncertain.

Evidence Hotjar sessions showed the anxiety loop: price → scroll up → price → leave. PostHog funnels revealed 8–12% drop-off at every mobile step transition. Payment method analysis showed massive geo mismatches between defaults and local preferences.
04 What I Changed

Three interventions. Each targeted a specific moment of doubt.

1. Made pricing transparent

Users were looping between checkout and product page trying to validate the price. I introduced clear price breakdowns, removed ambiguity beyond "all taxes included," and reduced cognitive load at the decision point. Per-person cost visible. Itemized breakdown showing exactly what they were paying for.

Added to cart confirmation
Cart confirmation
Shopping cart with timer
Shopping cart

Cart confirmation with cross-sell, and shopping cart with countdown timer, price breakdown, and trust signals above CTA.

2. Fixed mobile flow continuity

Each step reload killed context. I reduced perceived step boundaries, preserved visual continuity (progress, timer, order summary), and smoothed transitions across steps. The largest architectural bet: collapsing the 3-screen mobile flow into one scrollable page. One page eliminated three loading events.

3-step checkout flow
Step 1: Activity
Activity
Step 2: Contact
Contact
Step 3: Payment
Payment

The 3-step checkout: Activity (pickup, options) → Contact (personal details, provider info) → Payment (method selection, 3DS verification).

3. Localized payment defaults

Global defaults were wrong. I adapted payment methods per market, prioritized familiar options (iDEAL in Netherlands, BLIK in Poland, Sofort in Germany), and reduced hesitation at the final step. Preferred method expanded by default; others collapsed.

Activity step with Google Maps pickup
Pickup location (Maps)
05 Key Decisions

What trade-offs did I make?

Every decision involved choosing between speed-to-ship and depth of change. These were the most consequential:

DecisionChosenRejectedWhy
Mobile architecture Single-page checkout Responsive tweaks to existing 3-step flow 8–12% drop-off at every transition. Fixing transitions wasn't enough. The transitions themselves were the problem.
Price transparency Full itemized breakdown Better "taxes included" messaging Users wanted to see the math, not be told it was fair. Messaging didn't stop the anxiety loop.
Payment localization Geo-IP dynamic ordering Manual market-specific pages Scalable across markets. One system, not four maintained pages.
Urgency signals Honest countdown (existing hold time) Artificial scarcity ("only 2 left") Real inventory data, not manufactured pressure. Zero urgency-related support tickets.
06 Results

Small friction wasn't the problem. Lack of clarity was.

+11%Relative conversion uplift
€8–12MEstimated annual revenue impact
10A/B tests shipped
72%Of uplift came from mobile
Validation All experiments validated through A/B testing with statistical significance thresholds. Sample sizes ranged from 120K–140K users per variant. Guardrail metrics tracked throughout. The single-page mobile checkout alone accounted for nearly a third of total programme uplift.
07 Takeaway

Once users understood what they were paying and where they were in the process, conversion followed.

The pattern Every winning experiment reduced uncertainty at the moment of commitment. Price breakdown, right payment method, countdown visibility. All of these removed cognitive friction at the exact moment the user was deciding whether to proceed. The framework: find the moment of highest commitment anxiety, then eliminate the uncertainty surrounding it.
What failed Post-booking cross-sell on the confirmation screen. Users who engaged had 3x higher LTV, but the timing was wrong. They'd just completed a cognitively expensive flow. The confirmation screen is a moment of relief, not decision-making. Lesson: respect the emotional state of the user at each point in the funnel.
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