Navigating E-Commerce Challenges Between Consumers and Merchants

by Charles Hunter 3 min read June 8, 2026

At A Glance

Trust remains the foundation of digital commerce, yet maintaining it is increasingly complex. Consumers expect strong protections online, but research indicates a gap between expectations and reality. Learn more in part one of a collaborative two-part series by Experian & Mastercard.

Experian’s latest research shows that while 83% of U.S. consumers expect companies to address security and privacy concerns, branded retail sites have some of the widest trust gaps, more than a 30% difference between expectation and reality. This disconnect isn’t just theoretical; it drives real-world consequences like cart abandonment, dispute escalation and reputational damage.

Online fraud is amplifying this erosion of consumer confidence. Identity theft and stolen credit card information remain top concerns for consumers, and when those fears materialize, the impact can be significant. A Mastercard study found that 91% of consumers would consider not doing business with a company again after experiencing fraud. For merchants, this isn’t just a customer experience issue; it’s a financial and operational crisis. Two-thirds of merchants report year-over-year increases in fraud losses, with account takeover and transactional payment fraud topping their list of stressors. Every dispute becomes a trust event, and when trust is damaged, chargebacks rise, fees climb and merchants risk being classified as high-risk, a label that can increase transaction costs and damage long-term profitability.

“In today’s digital commerce landscape, trust isn’t just important. It’s the foundation of every successful interaction between consumers and merchants. As threats become increasingly sophisticated, it’s essential for businesses to make protecting consumer trust their top priority.”

Dennis Gamiello, Executive Vice President of Identity, Mastercard

One of the most visible symptoms of this trust gap is the surge in guest checkout. Consumers increasingly choose speed and privacy over account creation. 43% of consumers prefer guest checkouts, and 72% still use it even when they already have an account. While this behavior signals a desire for frictionless experiences with less data, it creates a challenge for merchants: fewer data insights make fraud harder to detect, so the most seamless checkouts aren’t always the most secure. Striking a balance between speed and security is key in today’s e-commerce landscape.

“When there’s limited context and no persistent relationship, trust has to be established in real time. That exposes the limits of static credentials. Identity intelligence must lead, continuously assessing who’s behind the interaction and whether they can be confidently authenticated before the transaction completes. Payment tokenization, biometric authentication and tools like Click to Pay also reduce manual entry of sensitive data and reinforce security and convenience.”

Dennis Gamiello, Executive Vice President of Identity, Mastercard

The solution isn’t to force account creation; it’s to rethink security. Consumers want protection they can trust, but don’t want those security methods to slow down their digital experiences. Invisible security measures, such as behavioral analytics and passive identity verification, enable merchants to secure transactions without slowing them down. Our recently released report shows that half of merchants now use secondary devices to verify identity, signaling a shift toward frictionless security. Behavioral biometrics rank among the most trusted authentication methods, yet adoption remains slow.

“Security today means investing in invisible tools consumers expect merchants to have, solutions that detect signals almost impossible to spoof. These capabilities are critical for addressing top concerns like identity theft and stolen credit card abuse. They allow merchants to protect trust without adding friction.”

Nash Ali, Vice President of Operational Strategy, Experian

What does that mean in practice? It means ensuring the purchaser truly owns the identity data and payment method they provide. Advanced fraud detection layers behavioral, device and network intelligence atop rich identity verification tools, like Mastercard’s Identity Insights via Experian’s orchestration platform, and payment ownership verification data to spot anomalies in real time, even at guest checkout.

“By analyzing interaction patterns such as typing cadence, hesitation, and copy-paste behavior, merchants can distinguish genuine users from bots or synthetic identities without collecting personal information. And with passive card verification, merchants can confirm card ownership instantly, reducing false declines and preventing fraud, all while preserving privacy and speed.”

Jose Pallares, Senior Director of Payments and E-commerce products, Experian

Building trust isn’t just meeting expectations; it’s anticipating threats and investing in technologies that make fraud detection seamless and invisible. For merchants, this isn’t only about reducing fraud; it’s about avoiding the downstream costs of disputes and chargebacks that erode margins and operational efficiency. First-party fraud is contributing to an increase in disputes, which can affect financial performance and customer trust.

As we move into part two, we’ll explore why these challenges are escalating, how they impact merchant profitability, and what proactive strategies, from dispute intelligence to enhancing transaction clarity, can help businesses fight back and protect trust at scale.


Coming soon: Part two: Fighting back against first-party fraud – from chargebacks to checkout safeguards

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One Platform, Fewer Handoffs, Faster Decisions

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When a credit view and a fraud view are generated separately, they must be reconciled instead of read together in the same instant. Every handoff is a place where a decision slows down and a signal gets missed. It's why a fraud pattern that would be obvious next to the credit file often surfaces only after the funds are already gone. Fragmentation also makes it harder to optimize lending strategies over time. When data, analytics and decisioning are disconnected, credit unions have less visibility into what's working, what's changing and where strategies need to be adjusted. An integrated decisioning ecosystem closes those seams by design, with credit, fraud and lending strategy running on one platform and accessed through a single Application Programming Interface (API). Identity and compliance capabilities can be an integrated decisioning flow. The data doesn't need to be reconciled after the fact because it was never separated in the first place. Stop overengineering, start removing friction When decisioning underperforms, the instinct is to build something more custom: a proprietary model, tighter segmentation, more configuration.  Custom modeling has its place for institutions with the scale and data to justify it. But often, for small or mid-sized credit unions, the bigger opportunity is a flexible decisioning strategy that uses a strong, continuously refreshed model. This shouldn't be either/or. The right approach gives credit unions a strong decisioning strategy today, with the ability to introduce more customized analytics and modeling as their needs evolve.  The same principle applies to strategy management: credit unions can gain greater control through self-service capabilities as they build a more sophisticated data science team.   That kind of flexibility is important as credit unions modernize their decisioning infrastructure. Research surveying more than 2,000 senior credit risk and fraud decision-makers across 11 countries found that organizations investing in unified platforms and modern infrastructure are moving faster and realizing the greatest Return on Investment (ROI).   As their needs evolve, credit unions can adjust decisioning strategies without introducing another layer of technology or relying on third parties to make every change. Until self-service is the right fit, choose a partner that understands what makes your credit union’s membership and risk appetite different from others.  Same member, same afternoon, faster answer Consider a credit union growing its auto and personal loan originations.  A member applies for an auto loan on Saturday afternoon. Credit data, identity and fraud signals are read together in a single real-time pass instead of separate reviews:  Most applications resolve immediately, approved or declined based on a more comprehensive view of the applicant. A smaller number are flagged for quick step-up verification and cleared within minutes. Only genuinely ambiguous cases reach an underwriter, who is working from one complete picture instead of reconciling multiple signals. The member has an answer before the weekend is over. The credit union books the loan before competitors even open on Monday. Built to scale This kind of process holds up today. However, the better test is whether it holds up eighteen months from now when application volume has grown, new products are live and the data flowing through the system looks nothing like it does right now. Future-proofing isn't only about handling more volume. It's about having room to be nimbler and make adjustments as quickly as the market changes. A credit union that relies on standard models within a decisioning strategy may want more customized analytics and greater control over its strategies tomorrow. 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