Back to Work E-Commerce

Engineering a 60% Conversion Lift Through Friction Reduction

Streamlined the Invisalign accessories purchase flow by eliminating redundant steps and surfacing contextual product recommendations.

Role UX/UI Engineer
Timeline 2022
Team 2 Designers, 4 Engineers
Live Project View Shop
Due to my NDA with Align Technology, I cannot disclose detailed designs from this project. The information below focuses on process, outcomes, and learnings while protecting confidential work.

The Challenge

The Invisalign accessories shop had a 72% cart abandonment rate. Patients struggled to find compatible products, shipping costs surprised them at checkout, and the purchase flow required too many steps for simple reorders.

I was tasked with redesigning the e-commerce experience to reduce friction and increase both conversion rate and average order value.

"How might we reduce friction in the accessories purchase flow while increasing average order value?"

A Leaky Funnel

The existing shop was built as an afterthought to the main Invisalign experience. It lacked the polish of modern e-commerce and created unnecessary friction at every step of the purchase journey.

The Scale of the Problem

Cart Abandonment Rate 72%
Steps to Complete Purchase 5 steps
Repeat Customer Reorder Rate 23%
$18
average order value, well below industry benchmarks for healthcare accessories

Where Users Dropped Off

Funnel analysis revealed three critical friction points in the purchase journey:

38%
Product Selection
Compatibility confusion
29%
Shipping Page
Cost surprise
21%
Account Creation
Required signup

Understanding Purchase Friction

My approach centered on understanding where users struggled and why. I combined competitive benchmarking, funnel analytics, and qualitative interviews to build a comprehensive picture of purchase friction.

Competitive Analysis

Benchmarked Nike, ASOS, and Bloomingdale's to identify e-commerce best practices and gaps.

5 Competitors Analyzed

Funnel Analysis

Analyzed analytics and session recordings to identify exact drop-off points and rage clicks.

500+ Sessions Reviewed

User Interviews

Interviewed patients who abandoned carts and those who completed purchases to understand motivations.

12 Participants

Key Insights

Research synthesis revealed three core friction points that mapped directly to the drop-off data:

1

Shipping Surprise

"I was ready to buy until I saw $8 shipping on a $12 product. That's ridiculous. I'll just get it at my dentist." — Abandoned cart participant

2

Product Confusion

"I don't know if these cleaning crystals work with my type of aligners. There's nothing telling me what I actually need." — Abandoned cart participant

3

Reorder Friction

"I buy the same thing every month. Why do I have to re-enter everything? Amazon remembers my orders." — Repeat customer participant

Friction-Free Commerce

Rather than incremental fixes, we redesigned the entire purchase flow around three core principles that directly addressed the research findings.

Three Design Principles

The solution was grounded in three core principles that directly addressed the research findings:

Transparent Pricing

Show shipping costs upfront on product pages, not at checkout. Display free shipping thresholds clearly to encourage larger orders and eliminate surprise friction.

Addresses: Shipping Surprise

Smart Recommendations

Surface personalized product recommendations based on treatment data. Show "Works with your aligners" badges to eliminate compatibility confusion and build confidence.

Addresses: Product Confusion

One-Click Reorder

Enable returning customers to reorder previous purchases with a single click. Save payment and shipping information to eliminate repetitive data entry.

Addresses: Reorder Friction

Streamlined Purchase Flow

1

Browse Products

See prices with shipping upfront

->
2

Add to Cart

Smart recommendations shown

->
3

Quick Checkout

One page, saved info

Business Impact

The redesigned accessories shop was A/B tested over eight weeks before full rollout. Results exceeded targets across all key metrics.

A/B Testing Methodology

8
Weeks duration
15K
Users in test sample
50/50
Control vs. treatment

Measured Impact

Conversion Rate +60% increase
Before 2.1%
->
After 3.4%
Cart Abandonment -45% reduction
Before 72%
->
After 40%
Average Order Value +130% increase
$18
Before
->
$41
After

6x Revenue Per Session

Combined improvements in conversion rate and average order value drove a 6x increase in revenue per session, exceeding the initial project targets.

What I Learned

  • Transparency Builds Trust

    Showing shipping costs early reduced abandonment more than any checkout optimization. Users prefer honest friction upfront to surprises at the end.

  • Personalization Drives Value

    Contextual recommendations based on treatment data increased AOV more than generic upsells. Relevance beats volume.

  • Small Fixes Compound

    No single change drove the 60% lift. It was the combination of dozens of micro-optimizations that created the impact.