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Audience Hijacking Disrupts the Web Experience

Audience hijacking is a widespread phenomenon that is estimated to disrupt up to 15% of e-commerce site visits, according to a survey conducted by Akamai Technologies and Retail Dive.

To enhance their in-browser experiences, many shoppers now install browser extensions, plug-ins, or other browser widgets to help find coupons or offer price comparisons. Sometimes these browser extensions are unknowingly installed on the consumer's device for malicious purposes and can divert visitors away from their intended journey, allowing competitors and malicious actors to disrupt e-commerce experiences.

The three main findings of the survey include:

Retailers are aware of hijacking

Retailers understand that audience hijacking is a big problem. A significant majority of survey participants (85%) said they were at least somewhat familiar with the concept of audience hijacking. As many as 72% said that they were very or extremely familiar with it. This finding highlights the fact that, at least among stakeholders within midsize to large retail organizations, there is broad awareness of the problem.

When asked whether audience hijacking presented a major challenge to their organization, a large majority (82%) of survey participants generally agreed that it was.

Retailers lack visibility

Retailers lack visibility into exactly what's going on during site visits. This is particularly in terms of extensions, pop-ups and scripts running within the customer's browser.

Although today's retailers invest heavily in every aspect of digital experience management, they're still unable to explain why a large number of cart abandonments occur.

As many as 82% of respondents say they lack visibility into the causes of cart abandonment for 5% of online transactions or more, or they simply don't know how often shopping carts are abandoned for reasons they can't determine. Of this group, 30% cannot explain cart abandonment for up to 24% of user sessions — a significant number of lost customer conversions.

Retailers underestimate the impact

Due to a lack of visibility, retailers tend to underestimate the likelihood that audience hijacking is causing churn. The survey results support this, showing 15% of participants said that audience hijacking wasn't a major challenge for their organization, yet 90% were seeing user sessions disrupted by such activities. Some admitted that they entirely lacked visibility into audience hijacking's prevalence.

But audience hijacking clearly continues to have a major impact on retailers with 28% of respondents reporting that its biggest impact is revenue loss.

A further 23% say that it is compromising ROI on digital marketing investments.

Nearly one-quarter of respondents (23%) indicate that audience hijacking has diminished their customers' loyalty, and 17% say it's causing fewer shoppers to make repeat purchases from their e-commerce stores.

Methodology: The survey respondents included more than 75 digital marketing, IT security and technology leaders in retail or e-commerce organizations with at least 1,000 employees.

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Audience Hijacking Disrupts the Web Experience

Audience hijacking is a widespread phenomenon that is estimated to disrupt up to 15% of e-commerce site visits, according to a survey conducted by Akamai Technologies and Retail Dive.

To enhance their in-browser experiences, many shoppers now install browser extensions, plug-ins, or other browser widgets to help find coupons or offer price comparisons. Sometimes these browser extensions are unknowingly installed on the consumer's device for malicious purposes and can divert visitors away from their intended journey, allowing competitors and malicious actors to disrupt e-commerce experiences.

The three main findings of the survey include:

Retailers are aware of hijacking

Retailers understand that audience hijacking is a big problem. A significant majority of survey participants (85%) said they were at least somewhat familiar with the concept of audience hijacking. As many as 72% said that they were very or extremely familiar with it. This finding highlights the fact that, at least among stakeholders within midsize to large retail organizations, there is broad awareness of the problem.

When asked whether audience hijacking presented a major challenge to their organization, a large majority (82%) of survey participants generally agreed that it was.

Retailers lack visibility

Retailers lack visibility into exactly what's going on during site visits. This is particularly in terms of extensions, pop-ups and scripts running within the customer's browser.

Although today's retailers invest heavily in every aspect of digital experience management, they're still unable to explain why a large number of cart abandonments occur.

As many as 82% of respondents say they lack visibility into the causes of cart abandonment for 5% of online transactions or more, or they simply don't know how often shopping carts are abandoned for reasons they can't determine. Of this group, 30% cannot explain cart abandonment for up to 24% of user sessions — a significant number of lost customer conversions.

Retailers underestimate the impact

Due to a lack of visibility, retailers tend to underestimate the likelihood that audience hijacking is causing churn. The survey results support this, showing 15% of participants said that audience hijacking wasn't a major challenge for their organization, yet 90% were seeing user sessions disrupted by such activities. Some admitted that they entirely lacked visibility into audience hijacking's prevalence.

But audience hijacking clearly continues to have a major impact on retailers with 28% of respondents reporting that its biggest impact is revenue loss.

A further 23% say that it is compromising ROI on digital marketing investments.

Nearly one-quarter of respondents (23%) indicate that audience hijacking has diminished their customers' loyalty, and 17% say it's causing fewer shoppers to make repeat purchases from their e-commerce stores.

Methodology: The survey respondents included more than 75 digital marketing, IT security and technology leaders in retail or e-commerce organizations with at least 1,000 employees.

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The Latest

IT organizations have historically measured success by how quickly they can respond when something goes wrong. The entire discipline of Incident Management has been optimized around mean time to resolution, first-response SLAs and ticket closure rates. But new research suggests that even though this is a well-executed playbook, it's no longer enough to retain customers ...

Production incidents rarely announce themselves as database problems. They appear as slow transactions, timeouts, rising response times, or an application struggling under a workload it previously handled. APM provides an essential starting point. It can identify a slow transaction path, highlight an affected service, and show that a database dependency is consuming more time than expected. But identifying the database as part of the problem is not the same as explaining what is happening inside it ...

Cloud teams are under constant pressure to reduce spend without slowing development or increasing operational risk. They are deploying autoscalers, rightsizing workloads, enforcing resource requests, reviewing utilization dashboards, and building FinOps processes around cloud-native environments. Yet the results often disappoint ...

Ask most IT leaders about their biggest concern with AI and you'll hear the same answer: hallucinations ... Today, however, the conversation has shifted ... As organizations move beyond chatbots and experiments, they are increasingly deploying AI agents that perform multi-step tasks. These systems retrieve documents, query databases, call APIs, generate reports, write code, and make recommendations. The issue is not whether the model can reason. The issue is whether the organization can see, verify, and govern the decisions being made along the way ...

While organizations want to take control of their telemetry, building telemetry pipelines from scratch can be a very daunting, complicated task, even when leveraging open-source standards like OpenTelemetry. It requires specialized knowledge across distributed systems, data engineering, and security. This fragmented approach across systems causes higher operational costs; it puts a strain on resources and reduces efficiency as teams have to work with different interfaces and processes ...

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...