Checkout Flow Optimization: 7 Steps Glued Uses to Cut Abandonment

Checkout flow optimization is the process of systematically removing the friction between "add to cart" and "purchase complete." Glued's data across 350+ DTC projects shows the same causes appear repeatedly: unexpected shipping costs, forced account creation, and mobile checkout experiences built for someone else's customer.

The average eCommerce checkout abandonment rate is 70% (Baymard Institute, 2025). For most DTC brands, that's not a traffic problem or a product problem, it's a friction problem. The visitor already decided they wanted the product. Something in the checkout stopped them from finishing. Identifying and removing that friction is checkout flow optimization, and it consistently produces higher ROI per dollar than traffic acquisition for brands where the rate is above category benchmarks.

This guide covers the seven-step framework Glued uses across client work, the specific abandonment causes it addresses, and what the results look like in practice.

Why Checkout Abandonment Happens

Baymard Institute's 2025 research across 44 major eCommerce sites identifies the leading causes of checkout abandonment:

• Unexpected shipping costs or fees, 48% of abandoners
• Forced account creation, 24%
• Complicated or too-long checkout process, 22%
• Couldn't see or calculate total cost upfront, 17%
• Website errors or crashes, 13%
• Security concerns about payment, 19%
• Insufficient payment options, 11%

Glued's data across 350+ projects confirms this hierarchy. The first three causes, shipping cost transparency, account friction, and checkout complexity, are responsible for the majority of recoverable abandonment. They're also the most fixable: none require a full platform migration or major engineering investment.

The Lull engagement illustrates what addressing these causes systematically can produce: three different landing page and checkout narrative variants tested simultaneously against each other. The winning variant produced a 100% transaction lift, 61% ARPU increase, and 12.5% begin-checkout rate improvement (Shopify analytics, 2024).

The 7-Step Checkout Flow Optimization Framework

Step 1: Audit Your Current Funnel by Device and Source

Before changing anything, identify exactly where and why checkout is failing. Break your funnel into four stages, product page to add to cart to checkout initiated to purchase complete, and measure the drop-off rate at each stage, segmented by device type, traffic source, and new vs. returning visitors.

Mobile CVR typically runs 60-70% of desktop for DTC brands (Shopify, 2025). If your mobile checkout completion rate is significantly below desktop, that's your highest-leverage problem. Paid social traffic abandons differently than organic search or email. Returning customers convert at dramatically higher rates through checkout. A high abandonment rate among new visitors often points to trust signal problems; among returning visitors, it points to friction or technical issues.

Use Glued's Checkout Abandonment Calculator to quantify what your current abandonment rate is costing in monthly revenue before prioritizing what to fix.

Step 2: Surface Shipping Costs Earlier

Unexpected shipping costs cause 48% of checkout abandonment (Baymard Institute, 2025). The fix is not offering free shipping, it's showing the real cost earlier. Visitors who see $8.99 shipping on the product page or in the cart can make their decision there, before they've invested time entering their information.

Implementation options in order of impact:

• Show estimated shipping on the product page based on the visitor's location (GeoIP)
• Add a shipping estimator tool to the cart page
• Show a shipping cost range ("Ships for $5-$9") in the cart summary
• Ensure the cart total with estimated shipping is visible before the visitor clicks "Proceed to Checkout"

Step 3: Make Guest Checkout the Default

Forced account creation causes 24% of checkout abandonment (Baymard Institute, 2025). For first-time buyers, account creation is a commitment they haven't agreed to make. The product page sold them on the product, not on a relationship with your brand.

The correct implementation is guest checkout as the primary, most visible path, with account creation offered after purchase. Post-purchase account creation converts at significantly higher rates than pre-purchase because the customer has already demonstrated commitment.

Step 4: Reduce Checkout to the Minimum Necessary Steps

Every additional step in checkout is an opportunity to abandon. Glued's data across 350+ projects identifies the most common unnecessary friction:

• Separate billing address page when the vast majority of purchases use the same billing and shipping address
• Phone number as required field when the brand has no operational reason to call customers
• Account creation step inserted between shipping and payment
• Promo code field prominently displayed to all visitors

Step 5: Optimize Specifically for Mobile

Mobile checkout has specific UX requirements that desktop-first implementations miss:

• Tap targets. Minimum 44x44px for all interactive elements.
• Input type optimization. type="email" pulls up the email keyboard; type="tel" pulls up the numeric keypad.
• Address autocomplete. Google Places API or Shopify's built-in autocomplete eliminates the single most friction-heavy mobile input task.
• Express checkout placement. Apple Pay and Google Pay buttons should appear at the top of the checkout flow for mobile visitors.
• Progress indicator. A clear step indicator ("Step 2 of 3") reduces abandonment by showing how close users are to done.

DR-HO's mobile redesign, built specifically for their 50+ customer demographic with larger tap targets, linearized information flow, and audience-appropriate trust signals, produced a 122% overall CVR increase (Shopify analytics, 2024).

Step 6: Place Trust Signals at the Payment Step

Security concerns cause 19% of checkout abandonment (Baymard Institute, 2025). Trust signals need to appear at the specific moment the visitor is entering payment information.

• SSL/security badge adjacent to the payment form
• Return policy visible without scrolling
• Accepted payment methods displayed as logos
• Money-back guarantee prominently placed
• Customer review count near the final submit button

Step 7: Test One Variable at a Time

Checkout changes should be A/B tested whenever traffic volume permits. The Lull case demonstrates this precisely: the winning narrative wasn't what the team predicted.

• Test the highest-abandonment step first
• One variable per test
• Run to 95% statistical significance before declaring a winner
• Implement the winner immediately and move to the next test

Checkout Optimization for Shopify Brands

Shopify Standard: Limited customization. Focus areas: shipping cost transparency before checkout, guest checkout configuration, express payment methods (Shop Pay, Apple Pay, Google Pay), trust badge placement.

Shopify Plus: Checkout extensibility enables full custom UI, additional form fields, custom validation logic, dynamic upsells within checkout, and complete visual customization.

What Checkout Optimization Actually Produces

• Lull (Santa Barbara, CA): 100% transaction lift, 61% ARPU increase, 12.5% begin-checkout improvement
• EBOOST (New York, NY): 42% CVR increase, 45% AOV boost
• Peak Cocktails: 11% CVR lift from systematic PDP optimization
• DR-HO's (Ontario, CA): 122% CVR increase from audience-specific mobile UX

The pattern across all four: the highest-leverage fixes were almost never in the payment step itself. They were upstream, in how the product page built conviction, how the cart communicated cost, and how the mobile experience was or wasn't built for the specific person using it.

FAQ

What is checkout flow optimization? The process of identifying and removing friction points preventing visitors from completing a purchase after adding items to cart.

What causes the most checkout abandonment? Baymard Institute's 2025 research identifies unexpected shipping costs (48%), forced account creation (24%), and a complicated checkout process (22%) as the top three causes.

How much can checkout optimization improve conversion rates? Glued's DTC client data shows results ranging from 11% CVR lift (Peak Cocktails) to 122% CVR lift (DR-HO's). The variance reflects how different the baseline friction was in each store.

Should I use one-page or multi-step checkout? For most DTC Shopify brands, one-page or two-step checkout outperforms the default three-step. One-page works best for simple orders; multi-step for complex B2B or multi-address orders.

How do I know which checkout problem to fix first? Start with a funnel analysis segmented by device and traffic source. The step with the highest drop-off rate is the starting point.

How long does checkout optimization take? Tactical fixes can be implemented in days and show measurable impact within 2-4 weeks. Structural changes take 4-8 weeks including testing.