Understanding Payment Processing For Ecommerce

NRF 2025: Retail's Big Show Europe in Paris was a blast last week and it was great to launch our research in partnership with FreedomPay on the impact of payment failures in the French consumer market. Whether it’s electricity blackouts, cyber-attacks, internet downtime or payment terminal failures, businesses are prioritising resilience in the face of rising risks. So, when we started out this project, we set out to answer a big question: How much do payment disruptions cost retail and hospitality businesses each year? The quick answer: €1.9 billion! Across retail and hospitality in France, breakdowns in payment systems are jeopardising €1.9 billion in yearly sales. These are not isolated events but a persistent operational issue that interrupts service, erodes customer confidence, and directly impacts revenue. Our research shows that when payment systems fail, shoppers move on swiftly. The consequences of checkout friction are significant and wide-ranging. Customer expectations are extremely high, and consumers are intolerant of bad experiences, ready to shop elsewhere if something goes wrong. Payments are a critical part of these expectations and tolerance is especially low when things don't go as planned - especially across younger consumers - who are more reliant on digital payments. More than half (55%) of under-35s say they hold the business and its staff directly responsible during a payment failure, whereas older consumers tend to be more forgiving and more likely to recognise that disruptions can happen. Younger customers also amplify the impact: almost half of Gen Z say they would complain on social media or review sites after a payment outage, turning a single disruption into wider reputational fallout. In today’s environment, where speed and convenience are paramount, even a minor payment hiccup can result in an immediate lost sale. But the impact extends further. These interruptions undermine customer confidence, accelerate churn and jeopardise future spending from customers who might otherwise have become loyal advocates. There are also social consequences too, not just financial. Seven in ten (69%) retail and hospitality managers say they have faced verbal abuse or threatening behaviour from customers during payment failures and alarmingly, one in ten have even witnessed physical aggression. In the press briefing last week, we discussed how retail executives should treat this as a call to action. Investing in robust, reliable payment technologies goes beyond finalising a transaction. It is about safeguarding trust and securing long-term profitability. Emerging technologies are opening new avenues to reduce friction at checkout. 💥 30% have invested in secondary internet connections to keep POS systems online 💥 28% offer offline card processing to maintain transactions during connectivity failures, and 💥 20% have adopted mobile-based options such as QR codes or app checkouts. #RetailEconomics #FreedomPay

Throwback to a conversation I had about two years ago on payments security with Candice Pressinger, Director of Customer Data Security Elavon as part of the MPE talk Series🤩. It’s striking how the way we framed that discussion mattered as much then as it does now. For context, at the time, we talked about how the role of security had shifted away from a pure compliance definition and how security, fraud, and optimisation had effectively collapsed into the same box. For a long time, merchants met the required standard, passed the audit, and made sure nothing was obviously wrong from a regulatory point of view. It was important, but when security was framed purely as compliance, it sat slightly to the side of how payments actually performed day to day. Fraud was usually handled separately. It relied on rules, blacklists, and investigation after something had already gone wrong. The focus was on stopping known patterns and cleaning up the mess once losses appeared. Optimisation lived somewhere else again, usually with payments or growth teams. That’s where approval rates, conversion, checkout flow, and customer experience were discussed, often without much connection to security decisions. That separation doesn’t survive in practice, because the same payment decision affects all 3 areas at the same time. They are different sides of the same decision. ▪️When merchants tighten their security control, they might reduce fraud, but they may also introduce friction that costs conversion. ▪️When steps are removed to make the checkout frictionless, the approval rates can improve, but the exposure may increase. ▪️Even something as simple as how a transaction is routed or how the authentication is applied can change liability, cost, and customer drop-off in one go. At the same time, merchants are expanding payment choices. More wallets. More APMs. More markets. More AI-driven flows. Each new payment option can improve customer experience and unlock growth. But each one also expands the attack surface. Fraud doesn’t chase innovation itself. It looks for inconsistency, uneven controls, and weak links between systems. That’s why there are increasingly pressure on areas that weren’t traditionally treated as high-risk, like loyalty points, stored value, and secondary accounts. #fraud #paymentsecurity #PaymentLeadership Elavon Europe Merchant Payments Ecosystem -- 𝘗𝘢𝘺𝘮𝘦𝘯𝘵𝘴 𝘪𝘴 𝘯𝘰𝘵 𝘢 𝘤𝘰𝘴𝘵 𝘧𝘶𝘯𝘤𝘵𝘪𝘰𝘯. 𝘐𝘵’𝘴 𝘢 𝘥𝘦𝘴𝘪𝘨𝘯 𝘥𝘦𝘤𝘪𝘴𝘪𝘰𝘯. 𝘐 𝘸𝘰𝘳𝘬 𝘸𝘪𝘵𝘩 𝘵𝘦𝘢𝘮𝘴 𝘳𝘦𝘴𝘩𝘢𝘱𝘪𝘯𝘨 𝘩𝘰𝘸 𝘵𝘩𝘦𝘪𝘳 𝘱𝘢𝘺𝘮𝘦𝘯𝘵 𝘢𝘳𝘤𝘩𝘪𝘵𝘦𝘤𝘵𝘶𝘳𝘦 𝘥𝘦𝘵𝘦𝘳𝘮𝘪𝘯𝘦𝘴 𝘤𝘰𝘴𝘵, 𝘤𝘰𝘯𝘵𝘳𝘰𝘭, 𝘳𝘦𝘴𝘪𝘭𝘪𝘦𝘯𝘤𝘦, 𝘢𝘯𝘥 𝘢𝘤𝘤𝘰𝘶𝘯𝘵𝘢𝘣𝘪𝘭𝘪𝘵𝘺. 𝘛𝘩𝘪𝘴 𝘸𝘰𝘳𝘬 𝘩𝘢𝘱𝘱𝘦𝘯𝘴 𝘢𝘵 𝘴𝘺𝘴𝘵𝘦𝘮 𝘭𝘦𝘷𝘦𝘭, 𝘯𝘰𝘵 𝘧𝘦𝘢𝘵𝘶𝘳𝘦 𝘭𝘦𝘷𝘦𝘭. 𝘓𝘰𝘰𝘬𝘪𝘯𝘨 𝘧𝘰𝘳 𝘪𝘮𝘱𝘢𝘤𝘵 ? 👉 intro@paypr.work #payprwork #paymentstrategy #card #acquiring Merchant Hub: Merchant Voice, Amplified! Paypr.work [ˈpeɪpəwəːk]

A payment succeeds. Nobody notices. A payment fails. Everybody does. That’s what makes payments one of the few industries where boring is actually beautiful. Consider this: India processes billions of digital transactions every month. Most happen in seconds. Most happen without a second thought. Most happen without the customer ever wondering what's happening behind the screen. And that's precisely the point. In many industries, visibility is success. In payments, invisibility is. The customer isn't looking for excitement when paying a school fee, booking a flight, ordering groceries, or paying a utility bill. They're looking for certainty. No loading screen. No confusion. No anxiety. No surprises. For years, we've celebrated innovation in payments, and rightly so. But the real achievement isn't just launching new capabilities. It's making complexity disappear. Behind a simple "Payment Successful" message sits an ecosystem of banks, networks, gateways, merchants, compliance frameworks, security protocols, fraud checks, and technology infrastructure working together in milliseconds. Yet the highest compliment a payments company can receive is often silence. Because nobody tweets: "Just completed my 847th successful payment this year. Incredible experience." But they absolutely will if one payment fails. That has always fascinated me about this industry. The best payments experiences aren't memorable because they're extraordinary. They're memorable because they're not. Reliability rarely trends. Consistency rarely makes headlines. Trust rarely goes viral. But over time, these are the things that matter most. Sometimes the most sophisticated technology creates the simplest customer experience. #Payments #Fintech #DigitalPayments #CustomerExperience #CorporateCommunications #BrandStrategy #FintechIndia #Trust

Checkout optimization used to mean adding more payment methods. Today it’s about shaping the payment journey before friction ever shows up. Fintech Adyen just launched Personalize inside its Uplift suite. The headline feature is real-time Dynamic Identification, trained on trillions of transactions across its network. Why it matters: 37% of shoppers abandon when checkout takes too long. 72% of businesses say transaction fees are pressuring margins. Static checkout flows treat every buyer the same. Modern payment stacks can’t afford that. Personalize adjusts the experience in real time. It can: • Prioritize cost-efficient payment rails • Suppress unnecessary authentication • Surface risk signals before authorization • Route transactions based on identity and context Early data: • 9.4% lower payment costs on eligible traffic in year one of Uplift • 42% reduction in false positives • +1.19% average conversion lift, up to 6% for some merchants • Pilots showing up to 3% lower transaction costs • Tebi: 4.26% cost savings and 0.8% conversion lift This is not incremental CRO. The real shift is architectural. Checkout is becoming a data and feedback loop problem, not a front-end design problem. The platforms that unify acquiring, issuing, risk, and identity inside one system will compound advantages over time. If you’re running payments at scale: Are you optimizing a page… or optimizing a network?

How to offer the right mix of payment options without overwhelming their customers? 🛒💡 Merchants constantly seek ways to enhance customer experience, with payment options at the forefront of this endeavor. As the former Head of Payments for a $4Bn company, I've observed firsthand the delicate balance required in optimizing payment methods. An eye-opening statistic from our analytics revealed that despite a 99% acceptance rate of a French wallet option, 98% of users initially selected it would switch to an alternative payment method. This underscores a broader trend: the paradox of choice in e-commerce. 🔄🔍 This phenomenon teaches us that diversity in payment options can be seen as an advantage, but it can also deter customers if not implemented thoughtfully. The challenge isn't just to offer a wide array of payment methods but to curate them in a way that resonates with your audience's needs and preferences. 🎯 ✨ Here's the takeaway: The key to enhancing customer satisfaction and boosting conversion rates is simplifying the checkout process. It's not about having the most payment options but the most effective ones. It requires understanding your customer base deeply and making data-driven decisions to streamline their payment experience. 📊💳 How do you strike the perfect balance between offering choice and maintaining simplicity in your payment options? Have you noticed a difference in customer behavior or sales conversions based on the payment methods you offer? #DigitalPayments #Ecommerce #UserExperience #CheckoutSimplicity #CustomerEngagement #BusinessStrategy 👇 Let's discuss below. Your experiences and strategies could provide invaluable guidance to others navigating the complex landscape of online payments.

I just spent 47 hours optimizing checkout for a fitness and wellness brand. Here's how we turned their biggest revenue leak into a 14% conversion boost. Last month, a D2C fitness and wellness brand reached out with a problem that's haunting most e-commerce founders: "Our traffic is great, our products are selling, but we're losing customers at the final step." When I dug into their data, the picture was clear: → Customers abandoning carts during lengthy checkout flows → Returning buyers frustrated with re-entering the same details → Zero visibility on who was leaving and why → No way to retarget lost customers Here's exactly what I did: Hour 1-15: Audit & Analysis I mapped their entire checkout journey. Found 8 friction points and 3 critical data gaps. Hour 16-32: Solution Implementation Integrated Razorpay Magic Checkout to: 👉 Pre-fill customer information automatically 👉 Reduce checkout steps from 6 to 2 👉 Create detailed abandoned cart tracking 👉 Enable real-time retargeting capabilities Hour 33-47: Testing & Optimization A/B tested the new flow, monitored user behavior, and fine-tuned the experience. The results after 30 days: ✅ 14% increase in conversion rate ✅ 5x faster checkout process ✅ Complete abandoned cart visibility ✅ 35% recovery rate on abandoned carts The biggest insight? Most brands treat checkout as a technical afterthought. But it's actually where your entire funnel either converts or collapses. This client went from losing 7 out of 10 customers at checkout to converting nearly 8 out of 10. Same traffic. Same products. Different checkout experience. The lesson I'm taking to every client now: Your payment flow isn't just about collecting money, it's about respecting your customer's time and removing every possible barrier between intent and purchase. For fellow consultants and founders: What's the biggest conversion killer you've seen in e-commerce? Drop your thoughts below.

Payments, Simply Said, post 12: Three Lenses Behind Every Payment When we talk about payments, conversations often blur together. 1. Technology details. 2. Business outcomes. 3. Customer experience. A clearer way to understand payments is to look at them through three lenses that operate together. ⸻ 1. The Payments Technology Stack This is how money technically moves. It includes: • message and data standards • processing engines • security and controls • settlement mechanisms • payment rails This stack answers questions like: Can the payment move? Can it scale safely? ⸻ 2. The Payments Business Stack This is how payments are managed and governed. It includes: • speed and predictability • risk and compliance outcomes • cost and liquidity considerations • operational efficiency This stack answers: Did it meet business expectations? Did it perform reliably? ⸻ 3. The Customer Experience Layer This is how payments are felt. It includes: • ease of use • transparency • confidence • minimal friction Customers don’t see systems, standards, or rails. They see outcomes. ⸻ Seeing them together Technology enables movement. Business defines guardrails. Customer experience reflects whether the two worked well together. Most payment issues don’t originate in just one layer. They show up when alignment breaks between them. That’s why “working systems” can still create frustration — and why strong payment design requires all three lenses. ⸻ What’s coming next In the next posts, I’ll start breaking down the layers that sit across these lenses: • payment rails • data and messaging • identity • risk and controls One concept at a time. Plain language. Focused on how payments actually show up in real life. That’s how I like to talk about payments. Simply.

🚨 𝐇𝐨𝐰 𝐭𝐨 𝐏𝐨𝐰𝐞𝐫 𝐏𝐚𝐲𝐦𝐞𝐧𝐭𝐬 𝐰𝐢𝐭𝐡 𝐀𝐈 — by DEUNA👇 Modern payments no longer just process — they reason, adapt, and optimize. This post breaks down the architecture of an AI-native payments ecosystem — and how leading enterprises are using it to reduce friction, improve approval rates, and drive intelligent growth. — 𝐓𝐡𝐞 𝐄𝐯𝐨𝐥𝐯𝐢𝐧𝐠 𝐑𝐨𝐥𝐞 𝐨𝐟 𝐀𝐈 𝐢𝐧 𝐏𝐚𝐲𝐦𝐞𝐧𝐭𝐬 AI connects the dots between data, security, speed, personalization, and behavior — enabling intelligent action in real time. 🔹 Security → Real-time fraud scoring and behavioral anomaly detection. Microsoft leverages AI to detect coordinated fraud attacks across geographies, using real-time IP fingerprinting and dynamic 3DS decisions. 🔹 Speed → Automated decisioning and optimized checkout logic. eBay deploys AI models to streamline its global checkout flow, dynamically adjusting the experience by market, device, and payment method trends. 🔹 Personalization → Adaptive routing and dynamic UX. Checkout.com enables merchants to personalize payment options at checkout based on customer history, issuer behavior, and local preferences. 🔹 Behavioral Data → Continuous learning from patterns in issuer behavior, retries, fraud triggers, and consumer habits. — 𝐓𝐡𝐞 𝐂𝐨𝐫𝐞 𝐋𝐚𝐲𝐞𝐫𝐬 𝐨𝐟 𝐀𝐈 𝐢𝐧 𝐏𝐚𝐲𝐦𝐞𝐧𝐭𝐬 (hypothetical examples) 1️⃣ Unified Data → Consolidation of data from PSPs (e.g., Getnet, Stripe, Payplug), fraud tools, CRMs, and internal commerce systems. → eBay standardizes transaction-level data across global PSPs and marketplaces to enable unified performance insights and routing logic. 2️⃣ Agentic Intelligence → A reasoning layer that evaluates and ranks millions of routing paths, retries, and fraud strategies based on expected outcome. → Getnet merchants in LATAM use ATHIA to switch routing strategies in real time during issuer outages. 3️⃣ Machine Learning → ML models tailored to commerce — optimizing for approval rates, fraud risk, customer type, and payment method behavior. → Google uses ATHIA’s ML models to proactively adjust retry windows for license renewals based on historical bank acceptance timing. 4️⃣ Analysis & Visualization → Data is transformed into dynamic visualizations that surface anomalies and opportunities without requiring deep SQL or manual dashboards. → Stripe provides merchants with visual routing breakdowns and simulated outcomes — 𝐓𝐡𝐞 𝐎𝐮𝐭𝐜𝐨𝐦𝐞: 𝐀 𝐒𝐲𝐬𝐭𝐞𝐦 𝐓𝐡𝐚𝐭 𝐀𝐜𝐭𝐬 — 𝐍𝐨𝐭 𝐉𝐮𝐬𝐭 𝐑𝐞𝐩𝐨𝐫𝐭𝐬 ✅ Contextual checkout experiences by geography and device ✅ Lower transaction costs via intelligent acquirer routing ✅ Higher approval rates through dynamic retries ✅ Reduced fraud and false declines with adaptive scoring AI in payments is no longer experimental. It’s the backbone of scalable, programmable commerce. Intelligence in motion. — Source: DEUNA ► 𝐓𝐡𝐞 𝐏𝐚𝐲𝐦𝐞𝐧𝐭𝐬 𝐁𝐫𝐞𝐰𝐬: https://lnkd.in/g5cDhnjC ► Connecting the dots in Payments... | Marcel van Oost

#Payments made simple? Not in #banking. I get it. Payments are complicated. Multiple systems, players, and departments are involved. But the real problem is this: banks design their payment flows for themselves. They know the jargon, the processes, the limitations, and they translate all that internal complexity straight into the #CustomerExperience. That’s why most people face this: - You need to add a payee before transferring money 🤔 - You must choose between five different payment options with names only a banker would understand 🤨 - You’re forced to scroll through endless lists of banks with their “official names,” not the ones customers actually know 🤯 The result? Friction. Insecurity. Confusion. Especially today, when scams and #fraud are everywhere, these flows don’t create #trust, they make things worse. Payments should feel instant, secure, and human. Instead, they feel like reading a manual written for #compliance teams. If #banks want to win, they need to stop designing payments for bankers, and start designing them for people.

Why Payment Processing Is One of the Biggest Growth Constraints in SexTech Payment infrastructure is one of the least visible but most decisive factors in SexTech growth. Data shows that approval rates, processor stability, and risk tolerance directly impact revenue more than traffic volume. What the Data Shows 1. Approval rates vary widely by category framing Sexual wellness brands positioned with clear product descriptions, safety language, and compliant content experience higher payment approval rates than those framed as adult novelty. 2. Processor instability creates revenue leakage Account freezes, rolling reserves, and sudden terminations interrupt cash flow and damage customer trust. Brands with diversified and compliant payment setups perform more consistently. 3. Declines increase abandonment and churn Payment declines at checkout lead to immediate cart abandonment and long term loss of customer confidence. Even small increases in decline rates materially reduce conversion. 4. Trust and transparency improve outcomes Clear billing descriptors, discreet transaction labels, and responsive support reduce chargebacks and disputes, improving processor relationships over time. Why This Matters in Sexual Wellness Consumers expect privacy and reliability when purchasing intimate products. Payment friction undermines both. Brands that treat payments as core infrastructure rather than a backend detail scale more safely. V For Vibes prioritizes compliant payment practices, clear communication, and processor readiness to protect customer experience and revenue continuity. Strategic Takeaway In SexTech, growth is constrained not only by demand but by infrastructure. Brands that invest early in payment stability unlock smoother scaling, higher conversion, and lower operational risk. This infrastructure first mindset is central to how V For Vibes builds durable growth.