--- title: "Case Study: How to Diagnose Low Checkout Conversion" date: 2026-09-29T08:02:36Z modified: 2026-09-29T08:34:58Z permalink: "https://www.tmogroup.asia/insights/ecommerce-checkout-conversion/" type: post status: publish excerpt: "" wpid: 91614 categories: - eCommerce Development - UI/UX Design tags: - eCommerce Development - UI/UX Design - Conversion Rate Optimization - UX/UI Design featured_image: "https://www.tmogroup.asia/wp-content/uploads/2026/09/ecommerce-checkout-conversion.png" author: TMO Group timestamp: 2026-09-29T08:34:58Z --- When shoppers are reaching checkout but completed orders remain below expectations, the problem is not necessarily purchase intent. The friction may sit deeper in the checkout itself, from payment failures and slow confirmation to market-specific performance or gaps in tracking. This becomes particularly difficult to diagnose in cross-border eCommerce. A payment method can be available but unreliable in a particular market. A checkout that performs well in one country may respond differently in another. And if payment redirects or third-party pages sit outside your analytics setup, the point of failure may not be visible at all. **In this case study, we look at five areas worth investigating when checkout conversion is underperforming, and how to distinguish between UX, payment, performance, and measurement problems before deciding what to fix**. > **KEY TAKEAWAYS** > > - **Low checkout conversion is not always a demand or UX problem.** Payment reliability, performance, and technical failures can interrupt otherwise high-intent purchases. > - **Cross-border checkout should be evaluated market by market.** Payment methods, infrastructure, authentication flows, and customer expectations vary considerably. > - **A successful payment does not always mean a successful checkout experience.** Slow confirmation and unclear order status can create uncertainty even after payment. > - **Analytics alone may not reveal the cause.** Behavioral data, payment records, and customer support signals can help identify where checkout friction actually occurs. ## 1. Make the Full Cost Clear Before Checkout ![](https://www.tmogroup.asia/wp-content/uploads/2026/09/ecommerce-checkout-conversion-ssense-1024x608.png) __SSENSE's checkout page clearly calculates duties and taxes into the order total before purchase.__Unexpected costs are one of the most established causes of checkout abandonment. For cross-border eCommerce, the issue is often less about whether additional costs exist and more about **whether shoppers can understand the full cost before they commit to checkout**. Common sources of friction include: - Shipping costs that only become visible late in checkout and are higher than expected. - Import duties that are not communicated upfront, leaving customers with an additional payment on delivery. - Currency conversion that creates a gap between the price displayed and the amount ultimately charged. - Checkout language or currency that does not match the shopper's market, making the final cost harder to evaluate. ![](https://www.tmogroup.asia/wp-content/uploads/2026/09/solution-thumbnail-Performance.png) [ Performance Systems ](https://www.tmogroup.asia/solutions/ecommerce-growth/) [Our Solutions for eCommerce Growth](https://www.tmogroup.asia/solutions/ecommerce-growth/) Baymard's checkout research consistently identifies additional costs such as shipping and taxes as a major reason for abandonment. For international orders, this makes **landed-cost transparency** particularly important. One approach is **Delivered Duty Paid (DDP)**, where applicable duties and taxes are calculated as part of the purchase rather than collected from the customer when the shipment arrives. SSENSE, for example, uses tax-inclusive pricing across a number of markets and explicitly shows taxes and duties as part of the order total where DDP applies. > **Instead of asking _“are our shipping rates too high?”_, consider whether the shopper receives a consistent view of the total purchase cost early on, from product evaluation through to payment.** ## 2. Check Payment Method Reliability and Fallback Options Offering the payment methods customers expect is an important part of checkout localization, but **availability alone does not guarantee a reliable payment experience**. A shopper can select their preferred payment method and still encounter friction during authentication, redirects, payment processing, or order confirmation. The exact failure points also vary by market: - **Europe:** Strong Customer Authentication (SCA) can introduce an additional 3D Secure verification step. Broken redirects, slow authentication pages, or order statuses that fail to update after verification can interrupt the purchase. - **Southeast Asia:** Local and regional wallets such as GoPay, GrabPay, and GCash introduce external payment flows where API timeouts or slow responses can affect completion. - **Brazil:** With payment methods such as Pix and Boleto, delayed confirmation or problems generating the payment can similarly leave the transaction incomplete. We saw this distinction clearly during our audit of a B2B platform serving customers globally. **Alipay was already available for customers in China, but some payment verification requests were routed through overseas servers.** The resulting cross-border latency extended confirmation times, with users sometimes abandoning the transaction while waiting. There was a second issue after payment. The confirmation page did not clearly display basic transaction details such as the order number and amount charged. Customers had to wait for a follow-up email to verify that the transaction had succeeded, and support data showed repeated inquiries asking whether payments had gone through or where orders had gone. > **Look beyond which payment methods are enabled. Payment success rates, processing and confirmation times, failure states, redirects, and the experience immediately after payment can reveal problems that a simple payment-method checklist will miss.** ## 3. Make Billing and Post-Purchase Information Easy to Resolve Checkout friction does not necessarily end when the payment succeeds. **What happens immediately after purchase can determine whether customers feel confident that the transaction was completed correctly**, particularly for cross-border orders where resolving an issue may involve different currencies, time zones, and support teams. Common sources of post-purchase friction include: - Incorrect billing names or addresses that require support to correct. - Delayed or missing invoices, particularly for B2B buyers that need documentation for expense reporting or reconciliation. - Unclear cancellation and refund processes, including when and how funds will be returned. - Slow support responses when billing or order issues need manual resolution. These issues are easy to classify as customer service problems because the initial transaction has already occurred. But for brands that depend on repeat purchases, they are also part of the broader conversion picture. A customer who has to chase an invoice, correct billing information manually, or wait days for clarity on a refund encounters friction that can affect the next purchase. The objective should be to make routine post-purchase information **self-service wherever possible**: provide accurate order and billing details immediately, make invoices easy to access, explain cancellation and refund processes clearly, and give customers an obvious route to support when manual intervention is required. > **Support tickets, refund inquiries, billing corrections, and invoice requests can reveal friction that the checkout conversion rate itself will never show.** ## 4. Optimize Checkout Performance by Market A checkout can perform well in one market and still create significant friction in another. **Network conditions, third-party services, payment infrastructure, and device environments all affect how quickly the final steps of a purchase respond.** This is particularly important because checkout performance problems can be more damaging than general site slowness. If a delay occurs immediately after a shopper clicks **Pay**, it may be unclear whether the transaction is processing, has failed, or requires another action. In our B2B platform audit, checkout was noticeably slower for users in China than in other markets. Two issues contributed to the problem: - **Overseas third-party requests:** Some payment-related scripts and requests depended on overseas infrastructure, increasing latency for users in China. - **Browser compatibility:** Some users on older browser versions experienced the payment button hanging after it was clicked. The second issue created an especially problematic failure state. Without clear feedback, some users clicked again and generated duplicate orders, while others abandoned the page altogether. This is why checkout performance should be tested **from the markets you actually serve**, rather than inferred from global averages or tests performed near your hosting infrastructure. The diagnostic should focus on critical interactions such as payment-button response, authentication, third-party requests, redirects, and payment confirmation. > **A checkout does not need to feel generally slow to have a performance-related conversion problem. A delay of a few seconds at the wrong point in the payment flow can be enough to introduce uncertainty precisely when the customer is trying to complete the order.** ## 5. Ensure Tracking Can Support Diagnosis Checkout optimization becomes difficult when the analytics setup cannot show **where the transaction failed or which customers were affected**. This is particularly common in cross-border payment flows, where shoppers may move between the storefront, third-party payment pages, authentication screens, and external redirects. In our checkout audits, some of the most important blind spots occur around the payment step itself. For example: - **Payment method selection is not captured**, making it difficult to compare conversion or failure rates between methods. - **Third-party payment pages sit outside analytics tracking**, creating a gap between checkout initiation and the final transaction. - **Payment failures and retries are not recorded as separate events**, obscuring where customers encounter problems. - **Traffic-source data is lost during redirects or login flows**, making it difficult to connect checkout performance back to acquisition channels. This can lead teams to see that checkout conversion is low without having enough information to explain why. The goal is not necessarily to track every possible interaction. **Measurement should provide enough continuity to reconstruct the critical payment flow**, from entering checkout and selecting a payment method through authentication, failure or retry, and final confirmation. That data also becomes more useful when combined with other evidence. A higher failure rate for one payment method, unusually long time spent on the payment step, and a cluster of support tickets from the same market provide a much stronger diagnostic signal together than any one metric in isolation. > **Verify whether your measurement setup can tell you where, how, and for whom that conversion is breaking down.** ## Identifying Checkout Conversion Issues Once these five areas are considered together, the objective is to move from **“checkout conversion is low”** to a specific, testable explanation of what is preventing customers from completing an order. That requires combining signals that are often reviewed separately: | Signal | Use | | --- | --- | | **Behavioral data** | Where shoppers hesitate, retry, or abandon the checkout flow | | **Payment data** | Failure rates, processing times, and differences between payment methods | | **Customer support** | Recurring payment, billing, confirmation, or refund problems | | **Market data** | Whether the issue is concentrated in a particular country, device, or environment | | **Acquisition data** | Whether checkout performance differs by traffic source or campaign | For example, suppose one market has a significantly lower checkout conversion rate. On its own, that tells you very little. But the picture becomes clearer if customers in that market also spend unusually long on the payment page, support tickets frequently mention failed payments, and backend data shows a higher failure rate for one local payment method. Together, those signals support a more specific hypothesis: **purchase intent may not be the primary problem; the payment flow itself may be preventing otherwise qualified customers from completing their orders.** The next step can then be equally specific, such as investigating the affected payment integration, introducing a fallback method, improving failure-state messaging, or addressing a market-specific performance issue. This is the value of treating checkout as part of the wider conversion journey. Rather than optimizing individual screens in isolation, the diagnostic connects **customer behavior, payment infrastructure, technical performance, and operational data** to identify which constraint is actually worth fixing. ## **Find Where Your Checkout Conversion Is Stalling** Low checkout conversion rarely points to a single problem. The cause can sit across UX, payment infrastructure, market-specific performance, customer service, and measurement, which also means it can be difficult to identify through routine reviews conducted by individual teams. A more useful diagnostic looks at checkout as part of the **wider conversion journey**, connecting what customers experience with what is happening across payment systems, analytics, and operations. The objective is not simply to find more opportunities to optimize, but to identify which points of friction are materially affecting completed orders and prioritize accordingly. > **If shoppers are reaching checkout but completed orders are underperforming, [reach out to us](https://www.tmogroup.asia/contact/) and we can help assess where the friction sits, from payment reliability and market-specific performance to checkout UX and measurement.** ## **FAQ** ****Q1: What are the common causes of low checkout conversion on cross-border D2C sites?**** Beyond shipping and duties, payment reliability, billing and post-purchase friction, checkout page performance, and data tracking gaps are all common causes. ****Q2: Why do shoppers abandon checkout after they've already reached the page?**** Unexpected costs, payment failures, slow pages, or unclear payment status can all break the purchase, especially across currencies and local payment environments. ****Q3: How can cross-border D2C brands reduce checkout drop-off caused by shipping and duties?**** Show shipping, duties, and total cost before payment. A DDP model lets customers pay import duties upfront, avoiding surprise charges on delivery. ****Q4: Why does payment drop-off still happen after local payment methods are integrated?**** Authentication failures, API timeouts, and order status not updating after payment can all cause drop-off, so success rates need ongoing monitoring by market and channel, not just coverage. ****Q5: Why does checkout page performance affect cross-border conversion?**** Network conditions, third-party scripts, and device environments vary by market. When slowdowns hit the payment button or authentication step, the impact on conversion is direct. ****Q6: How can brands pinpoint exactly where checkout drop-off is happening?**** Cross-reference user behavior, payment backend data, support tickets, and channel source, comparing failure rates and dwell time across markets and payment methods. ****Q7: Why do data tracking blind spots hold back checkout conversion optimization?**** If payment pages or redirects can't be tracked, it's unclear which payment method shoppers chose or where they exited, making it hard to target the right fix. ## Topics **Categories:** [eCommerce Development](https://www.tmogroup.asia/wp-content/uploads/wp-mfa-exports/taxonomy/category/ecommerce-development-other.md), [UI/UX Design](https://www.tmogroup.asia/wp-content/uploads/wp-mfa-exports/taxonomy/category/ui-ux-design.md) **Tags:** [Conversion Rate Optimization](https://www.tmogroup.asia/wp-content/uploads/wp-mfa-exports/taxonomy/post_tag/conversion-rate-optimization.md), [UX/UI Design](https://www.tmogroup.asia/wp-content/uploads/wp-mfa-exports/taxonomy/post_tag/ui-design.md)