Checkout Conversion
Before optimizing checkout, understand:
- Payment methods and their tradeoffs
- Auth optimization for approval rates
- Decline codes and what they mean
- Fraud prevention balance with conversion
70% of shopping carts abandon at checkout. Half of those are payment friction. Fix the checkout before optimizing fraud rules.
A 5% improvement in checkout conversion is worth more than a 5% improvement in fraud prevention. Math: if you're stopping $10k/mo in fraud but losing $50k/mo at checkout, priorities are backwards. Balance both using your risk appetite.
What Matters
- Payment method order affects selection. First method gets 60-70% of clicks.
- Guest checkout is mandatory. Forced account creation kills 25-30% of first-time buyers.
- Fewer fields means more completions. Every extra field costs 5-10% conversion.
- Mobile is different. Thumb-zone design, autofill, and digital wallets matter more on phones.
- Decline recovery is a second chance. 20-30% of declines can be recovered with good UX.
Payment Method Order
The first visible method gets selected most often. This is not random.
Default Order Recommendation
| Position | Method | Why |
|---|---|---|
| 1 | Apple Pay / Google Pay | Fastest completion, highest auth rates |
| 2 | Credit/Debit Card | Universal fallback |
| 3 | PayPal | Broad reach, especially older demographics |
| 4 | BNPL (if offered) | Niche appeal, lower priority |
When to Reorder
- Older customer base: Move PayPal up
- High-ticket items: Consider BNPL higher
- B2B checkout: Cards or bank transfer first
- International: Local methods may need top position
Test Before Changing
Method order is testable. Run a 2-week A/B test before permanent changes.
Guest Checkout
Forced account creation is conversion suicide.
The Numbers
- 25-30% of first-time buyers abandon when forced to create an account
- "Guest checkout" should be the default, not the alternative
- Account creation can happen post-purchase: "Want to save your info for next time?"
What Guest Checkout Must Include
- Email (for receipt and order updates)
- Payment info
- Shipping address (if physical) for AVS verification
That's it. Name can come from card. Phone is optional.
Account Creation Done Right
Post-purchase prompt:
"Your order is confirmed. Want to create an account to track orders? Just add a password."
This converts 15-25% of guests to accounts without blocking the sale.
Field Reduction
Every field costs conversion. Audit ruthlessly.
Fields to Kill
| Field | Action |
|---|---|
| Phone number (optional) | Remove unless required for delivery or 3DS verification |
| Company name | Remove for B2C |
| Address line 2 | Make optional, collapse by default |
| Separate billing address | Default to "same as shipping" |
| Title/salutation | Remove entirely |
| Date of birth | Remove unless legally required |
Fields to Combine
- First + Last name can be one field (autofill handles it)
- City + State + ZIP can auto-populate from ZIP
- Card number + expiry + CVV benefit from single-line design
The Card Form Sweet Spot
Best-in-class card forms have 3-4 fields visible:
- Card number
- Expiry
- CVV
- Cardholder name (optional, can default from billing)
Anything more is friction.
Mobile Patterns
Mobile checkout has different constraints.
Thumb Zone Design
- Primary buttons in bottom third of screen
- Form fields should be tap-targets (44px minimum)
- Keyboard should match field type (numeric for card/CVV/ZIP)
Autofill Optimization
Use proper HTML autocomplete attributes:
autocomplete="cc-number"for card numberautocomplete="cc-exp"for expiryautocomplete="cc-csc"for CVV
"Are we using proper autocomplete attributes on payment fields? Test by checking if your phone offers to autofill."
Digital Wallets on Mobile
Apple Pay and Google Pay convert 2-3x better than manual card entry on mobile.
- Biometric auth = fast
- No typing = fewer errors
- Tokenized = higher auth rates
If you're not offering digital wallets on mobile checkout, you're leaving money on the table.
Digital Wallets Quick Decision
Apple Pay / Google Pay
Add these. Almost always.
| Benefit | Impact |
|---|---|
| Faster checkout | 50%+ reduction in time-to-complete |
| Higher auth rates | Tokenized credentials, biometric auth |
| Lower fraud | Device-bound, no manual entry |
Implementation complexity: Low with hosted checkout. Medium with API.
PayPal
Depends on your audience.
| Pro | Con |
|---|---|
| Broad reach, especially 45+ | Higher fees (typically 3.49% + fixed) |
| Trust signal for some buyers | Different dispute process |
| One-click for PayPal users | Redirects can cause abandonment |
When to skip: Younger demographics, high-margin products where fee matters, or if you're optimizing for dispute simplicity.
BNPL (Klarna, Affirm, Afterpay)
Add for high-ticket or impulse purchases.
- Sweet spot: $100-$1,000 AOV
- Increases AOV by 20-30% for some categories
- Adds checkout complexity
When to skip: Low-ticket items, B2B, subscription-first businesses.
Related: Digital Wallets
Decline Recovery UX
20-30% of declined transactions are recoverable with good UX. See decline code reference to understand what's recoverable.
Soft Decline Recovery
For soft declines (insufficient funds, try again later):
- Don't show error immediately. Retry once behind the scenes.
- If retry fails, show helpful message: "Payment didn't go through. Try a different card or try again in a few minutes."
- Keep the form populated. Don't make them re-enter everything.
Error Message Design
Bad: "Transaction declined. Error code 51." Good: "This card was declined. Please try a different card or contact your bank."
Bad: Clearing the form on error Good: Keeping all fields except CVV (re-entry required for security)
Alternative Payment Prompt
After a decline, surface alternatives:
"Having trouble? Try Apple Pay or PayPal instead."
Some customers have multiple payment methods. A decline on Card A doesn't mean they can't pay with Card B.
Retry Limits
Don't let customers hammer the submit button. This can trigger velocity rules.
- Allow 2-3 attempts per card
- After 3 failures, require different card or cooling period
- Log excessive attempts for fraud review
"What happens when a payment is declined? Does the customer see a helpful message? Do we offer alternatives?"
When Conversion Beats Fee Optimization
Sometimes paying higher fees is the right call.
The Math
Scenario: You're considering removing PayPal (3.49%) to save on fees vs. cards (2.9%).
- 10% of customers prefer PayPal
- Removing it loses 5% of those customers (they leave instead of switching)
- On $100k/mo, that's $500/mo lost revenue
- Fee savings on remaining volume: ~$50/mo
Verdict: Keep PayPal.
When to Optimize for Conversion Over Cost
- Early-stage (growth > margin)
- High customer acquisition cost
- Competitive market where friction = lost customer forever
When to Optimize for Cost Over Conversion
- Mature business with strong brand loyalty
- Customers who will complete purchase regardless
- Very low margin where 0.5% matters
Checkout Security Signals
Trust signals affect conversion, especially for unfamiliar brands.
What Works
| Signal | Placement |
|---|---|
| Lock icon near card form | Reinforces security at decision point |
| "Secure checkout" text | Near submit button |
| Familiar payment logos | Apple Pay, Visa, MC, PayPal badges |
| SSL indicator in browser | Automatic with HTTPS |
What Doesn't Work
- Security badge overload (4+ badges looks desperate)
- "Guaranteed safe" claims without backing
- Overly long security explanations
What Hurts
- HTTP (not HTTPS) = browsers warn users
- Unfamiliar payment processor names
- "Powered by [unknown processor]" in footer
Test to Run
2-week checkout audit:
Week 1: Baseline and quick wins.
- Measure current checkout completion rate
- Add guest checkout if missing
- Remove 2-3 unnecessary fields
- Ensure digital wallets are visible on mobile
Week 2: Measure and iterate.
- Compare completion rate to Week 1
- Analyze drop-off by step (where do people leave?)
- Review decline recovery UX
Success criteria: 5-10% improvement in checkout completion rate.
Scale Callout
| Volume | Focus |
|---|---|
| Under $100k/mo | Implement best practices. Guest checkout, minimal fields, digital wallets. Don't A/B test yet. |
| $100k-$1M/mo | A/B test method order, analyze drop-off by step, optimize decline recovery messaging. |
| Over $1M/mo | Dedicated checkout optimization, multivariate testing, personalized payment method ordering by customer segment. |
Where This Breaks
-
Fraud-heavy verticals. Sometimes friction is the fraud control. Digital goods and high-risk categories may need more verification, even if it hurts conversion. Use 3DS strategically.
-
B2B transactions. Business buyers may need purchase orders, company billing, or approval workflows that require more fields. See invoicing for B2B flows.
-
International customers. Local payment methods, currency display, and address formats vary. "Best practices" are US-centric defaults.
Analyst Layer: Metrics to Track
| Metric | What It Tells You | Target |
|---|---|---|
| Checkout completion rate | Overall funnel health | > 65% for returning, > 45% for new |
| Drop-off by step | Where friction lives | Identify steps with > 20% drop-off |
| Method selection distribution | What customers prefer | Compare to what you're promoting |
| Decline rate at checkout | Auth issues | under 5% of attempts |
| Decline recovery rate | UX effectiveness | over 20% of declines recovered |
| Mobile vs desktop completion | Platform parity | Mobile should be within 10% of desktop |
Funnel Visualization
Track step-by-step:
- Cart → Checkout initiated
- Checkout initiated → Payment entered
- Payment entered → Payment submitted
- Payment submitted → Order confirmed
Biggest drop-off = biggest opportunity.
Next Steps
Starting checkout optimization?
- Measure your baseline - Know current completion rate
- Enable guest checkout - Remove account creation barrier
- Add digital wallets - Fastest checkout experience
Already optimizing?
- Run the 2-week audit - Systematic improvement
- Optimize decline recovery - Recover 20-30% of declines
- A/B test method order - Find optimal order
Approval rate too low?
- Focus on auth optimization - Approval rate deep dive
- Review decline codes - Understand failures
- Follow auth playbook - Step-by-step guide
Related Pages
- Auth Optimization - Improving approval rates
- Subscriptions and Recurring - Recurring billing UX
- Digital Wallets - Apple Pay, Google Pay
- Fraud Prevention - Balancing security and conversion
- 3DS Optimization - Authentication flow
- Decline Codes - Understanding failures
- Cards - Card acceptance
- Risk Appetite - Friction tradeoffs
- Processor Rules Configuration - Fraud rule tuning
- Increase Auth Rates - Approval optimization
- Buying Payments - Processor capabilities
- Payment Methods - All payment options