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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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In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...