Why Users Flee Before You Know Something’s Wrong

You’ve visited the site before and you know what the experience should be like. You notice when something’s different. Maybe a pop-up appears where one never has, or the URL looks subtly different from what you remember. You pause and within seconds, you’ve decided to leave.

Data from Liferay’s 2026 Broken Trust Report shows that you’re not alone. You’re part of a growing group of users who see site glitches as potential security issues. 

Trust Is Now a Real-Time Decision

The conditions that shaped today’s web user didn’t emerge overnight. Years of phishing campaigns, convincing fake storefronts, and spoofed domains have recalibrated how people interpret online experiences. Issues that once read as bad design now read as potential threats. Users have learned, through repeated exposure, that the signals of a malicious site and a buggy one are often identical.

Liferay surveyed 1,000 U.S. adults about their experiences with suspicious or “off” website moments, and the results describe what the researchers call a “one-strike trust economy.” Sixty-one percent of respondents said a single anomalous moment changes how much they trust the brand behind the site. Seventy-five percent said they would switch to a competitor if a site feels unsafe or behaves strangely. Seventy-one percent tie a website’s reliability directly to their overall trust in the company itself.

The specific triggers users react to are well-documented. Browser warnings top the list, cited by 39% of respondents. URL inconsistencies come next at 19%, followed by unexpected pop-ups at 18%. When asked to name the single fastest trust-killer, 32% pointed to a domain that looks slightly different from what they expected. Users are performing real-time authenticity checks on every visit, often without realizing it.

Brand recognition offers less protection than most companies assume. Ninety-one percent of respondents said that even major, well-known brands can look fake or unsafe. Fame establishes recognition. Consistent, predictable behavior is what establishes safety.

UX Is Now a Security Layer

The business implications of this change are significant, and they cut across design, engineering, and brand strategy in ways that traditional organizational structures weren’t built to handle.

Sixty-nine percent of respondents have abandoned a purchase they intended to complete because something triggered their scam instincts. When perceived risk becomes the conversion killer, the checkout experience, the login flow, and the page rendering behavior all become trust-critical surfaces that carry consequences well beyond their traditional scope.

Generational patterns in the data matter for teams building products with broad audiences. Older users are significantly more sensitive to browser-level warnings, with 70% of the Silent Generation and 58% of Boomers leaving immediately upon seeing one. Younger users are more attuned to UX-level signals that resemble known scam techniques, such as unexpected pop-ups, cross-domain redirects, and checkout flows with extra friction. The trigger differs by generation, but the outcome is the same. The user leaves before completing their task.

The emotional residue of these moments compounds the damage. Among users who felt they’d nearly been scammed, 47% reported feeling annoyed, 45% angry, and 42% frustrated, even when no breach occurred and no money changed hands. They attach those feelings to the brand.

The deeper trend here is the increasing overlap between design, security, and brand trust. These disciplines have historically operated in separate lanes, with their own metrics and objectives. As user behavior evolves, the organizational separation between these functions is becoming a liability.

Designing for Trust in a Suspicious Internet

The practical response to this environment isn’t primarily about adding security features. It’s about ensuring that the surface of the experience never gives users a reason to question whether they’re in the right place.

Stability on critical pages is the foundation. Browser warnings on pages where users are expected to log in, submit information, or complete a purchase are disproportionately damaging. Certificate monitoring, HTTPS enforcement, and rigorous governance of third-party scripts that could trigger warnings are all upstream of the trust experience users actually have.

Authenticity needs to be demonstrated on every visit, not assumed. Domain continuity through login and payment flows, minimal redirects, and consistent rendering across devices and environments are the mechanisms through which users continuously verify they’re where they think they are. Any deviation from expected behavior initiates a reassessment.

Perceived scam risk at checkout deserves specific attention. Pop-ups, cross-domain hops, and extra friction at the payment stage look like the social engineering techniques users have been warned about. Short, visible safety signals placed near action buttons reduce perceived risk at the moment it’s highest.

When something does go wrong, communication is the most effective recovery tool available. Forty-seven percent of users say a clear, visible message explaining what happened and what was fixed is the best path back to confidence. That kind of plain-language transparency doesn’t require significant resources. It requires organizational readiness to respond quickly and communicate honestly.

Liferay’s research reflects a growing trend around what digital experience platforms need to account for. Trust is no longer a byproduct of good design alone. In an environment that’s increasingly unforgiving of inconsistency, trust is an active output of system behavior. When users are suspicious by default and alternatives are always available, the experience that feels safest is the one that wins.