Conversion Optimisation

Reducing Cart Abandonment
for Peppa Pig World.

How persona-driven checkout experiences turned drop-offs into completed bookings.

Role
UX Designer — Digital Agency
Client
Peppa Pig World (Paultons Park)
Scope
Basket journey redesign — ticket purchase flow
Peppa Pig World — ticket purchase funnel drop-off analysis

Funnel analysis mapping where visitors dropped off between basket and payment

The Challenge

Visitors were abandoning at the basket — not the park

Peppa Pig World — one of the UK's most popular family attractions — was losing a significant number of visitors during the ticket purchase journey. Users were adding tickets to their basket but abandoning before completing the order.

While working with a digital agency, I was part of the team brought in to investigate why the drop-off was happening and to redesign the checkout experience to recover lost conversions.

Key metrics from discovery

High cart abandonment rate at the basket stage
Significant drop-off between date selection and payment
Low completion rate for first-time visitors compared to returning visitors
Discovery & Research

Finding where — and why — users left

Funnel Analysis

We mapped the full ticket purchase funnel from landing page to order confirmation, identifying exactly where users were dropping off. The biggest losses occurred at two points: the date and ticket selection step, and the final cost summary before payment.

Ticket purchase funnel — drop-off points identified

Full funnel mapped from landing to confirmation — drop-off concentrated at date selection and final cost summary

Analytics & Heatmaps

Google Analytics and heatmap data revealed that users were scrolling erratically on the ticket selection page, suggesting confusion. Click maps showed repeated tapping on non-interactive elements — a clear signal of unclear UI affordances.

Stakeholder Workshops

We ran workshops with the client's marketing, customer service, and operations teams. Customer service flagged that they regularly received calls from users who had started booking online but gave up and called to complete the purchase instead — a strong signal of UX friction.

Four root causes identified

01
Too many steps to checkout
6 screens from 'Add to basket' to 'Pay' — a journey that felt long before it felt worth it.
02
Unexpected costs appearing late
Booking fees introduced only at the final summary — a sticker shock moment that triggered abandonment.
03
No trust signals
No reviews, ratings, or booking guarantees at any point in the purchase journey.
04
Confusing date and ticket selection UI
Cluttered and hard to parse on mobile — the primary device for family trip planning.
The Insight

Two very different visitors, one broken flow

The data revealed a critical split in user behaviour. First-time visitors and returning visitors were abandoning for fundamentally different reasons.

Two distinct visitor personas — first-time and returning

First-time and returning visitors — different motivations, different blockers, one checkout trying to serve both

A single checkout experience was failing both groups. First-timers needed more context and confidence. Returning visitors needed less friction and fewer screens. One journey couldn't serve both.

The Strategy

Persona-based pre-checkout landing pages

Rather than redesigning the entire checkout into one compromised flow, we proposed two distinct pre-checkout landing pages — one for each persona — shown just before users entered the basket journey.

The system would determine which page to show based on whether the user had previously completed a booking (cookie/account data) or was visiting for the first time.

Landing Page A — First-Time Visitors: "Confidence Builder"

Goal: Reduce hesitation. Build trust. Show value before asking for money.

Landing Page A — Confidence Builder for first-time visitors

Confidence Builder — emotional connection, social proof, and transparent pricing before users reach the basket

Hero image of families enjoying the park — emotional connection
'What's included' breakdown — clear, visual summary
Star ratings and review snippets — social proof
'No hidden fees' badge — upfront pricing promise
Low-commitment CTA: 'Choose your date' — not 'Buy now'

Landing Page B — Returning Visitors: "Fast Track"

Goal: Remove friction. Get to checkout fast. Respect their time.

Landing Page B — Fast Track for returning visitors

Fast Track — personalised recognition, streamlined date picker, and pre-filled ticket data for returning visitors

'Welcome back' header — personalised recognition
Last visit acknowledgment
Streamlined date picker — first and most prominent element
'What's new since your last visit' — loyalty reward
Pre-selected tickets based on previous booking data
Express CTA: 'Book again'
Psychology Behind the Design

Every decision mapped to a behavioural principle

The design isn't intuitive — it's intentional. Each element in both landing pages was chosen to address a specific cognitive barrier or motivational driver.

Psychology biases mapped to design decisions

Behavioural principles mapped to each design decision across both landing pages

First-time visitor biases

Social Proof
Reviews and ratings reduce uncertainty — strangers' endorsements carry more weight than brand claims.
🔍
Ambiguity Aversion
'What's included' removes unknowns. People avoid committing to things they don't fully understand.
💷
Price Anchoring
Transparent pricing prevents sticker shock at the final step — the moment most likely to trigger abandonment.
🎠
Endowment Effect
Park imagery creates mental ownership. Users who can picture themselves there are already halfway to booking.
🛡️
Trust Bias
'No hidden fees' badge builds credibility before any financial commitment is asked for.

Returning visitor biases

🔁
Familiarity Bias
'Welcome back' triggers positive recall — past positive experiences are the strongest conversion signal.
🎯
Commitment Bias
Past visit acknowledgment reinforces the return decision — they've already chosen this once.
🧠
Cognitive Ease
Minimal content reduces mental effort. Returning visitors don't need to be sold to — they need to be served.
Status Quo Bias
Pre-filled tickets reduce decision fatigue. The path of least resistance becomes the path to checkout.
🎁
Reciprocity
'What's new' rewards loyalty — giving something before asking reinforces a positive emotional state.
Additional Checkout Improvements

Fixing the shared journey too

Beyond the two landing pages, we also redesigned shared elements of the checkout that were causing friction for all users.

Simplified funnel: 6 steps → 3
Select → Review → Pay. Removing unnecessary screens eliminated the sense of a never-ending journey before payment.
Transparent pricing from step one
Total cost including all booking fees shown immediately — removing the sticker shock that was causing late-stage abandonment.
Redesigned date and ticket selector
Colour-coded availability, card-based ticket types, mobile-first layout — addressing the confusion identified in heatmaps.
Trust signals throughout
Trustpilot rating, free cancellation badge, and secure payment icons added at key friction points in the journey.
Before and after — checkout flow redesign

Before and after — 6-step funnel collapsed to 3, with transparent pricing and trust signals throughout

Outcome

Designed to convert. Ready to measure.

The redesigned flow was built and handed off to the development team. The project did not reach the measurement phase during the engagement.

Based on the research, the strategic approach was designed to reduce abandonment for first-time visitors by addressing uncertainty, speed up checkout for returning visitors by removing unnecessary steps, eliminate surprise costs with transparent pricing, and improve mobile usability through a simplified, mobile-first UI.

Projected impact based on funnel analysis
↓15–25%
Estimated reduction in cart abandonment — driven by confidence-building content for first-time visitors
↓30%
Estimated faster checkout for returning visitors — pre-filled data and a streamlined 3-step journey
Reduced customer service calls related to booking friction — a direct signal from the discovery phase

"Not every user abandons for the same reason. The most effective conversion strategy isn't a single optimised flow — it's understanding that different audiences need fundamentally different experiences."

Skills & Methods
Conversion OptimisationFunnel AnalysisBehavioural PsychologyPersona DesignHeatmap AnalysisStakeholder WorkshopsMobile-First DesignUX WritingFigmaGoogle Analytics
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