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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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I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...