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Maximizing eCommerce ROI: Understanding the Latest Trends

Priyanka Tiwari

This is part 2 of the multipart blog series explaining trends in eCommerce as a result of underlying trends in technology and how ecommerce providers can maximize ROI with the help of proactive performance monitoring.

Start with Part 1: Maximizing eCommerce ROI with Synthetic Monitoring

In the last post, we learned about the eCommerce opportunity, its spread across all industries and the nature of eCommerce ecosystem. In this blog post we will see the trends in eCommerce and how you can thrive in your business with the help of proactive performance monitoring.

Your Customers Are Getting Impatient

Because good things come to those who refuse to wait! Your customers don’t want to wait as your website takes more than a blink of an eye to load. They won’t forgive you for slower websites or ill-functional apps.

In a survey done by Internet Retailer the majority of Americans said: “ ..in a real shop, they would wait in line for no longer than 15 minutes. However, on the web, over 25% will abandon a webpage that takes more than 4 seconds to load.”

... 40% will abandon a webpage that takes more than three seconds to load. And when it comes to mobile apps, customers will move on if an action takes more than 300ms to complete. IBM holiday recap report found that the bounce rate is increasing and the conversion rate is decreasing. Over the past few years, we have seen the cart abandonment rate increase to 75% in 2015.

Early this year, Business Insider reported that $4 trillion worth of merchandise will be abandoned in online shopping carts this year. And savvy eCommerce providers can recover about 63% of it.

What can a savvy eCommerce provider like you do to bring back your money?

See It as the Customer Sees It

The individual components of your eCommerce might be working well, but what happens when it all comes together? Proactively monitoring your web and mobile applications exactly as seen by the customers gives you a clear picture of user experience. Monitor actual user transactions and not just the components that support them. Be ready for whatever challenge your customers throw at you.

Tip: Monitor your web and mobile applications at the real browser level, where all the moving parts of the applications come together. Monitor from where your customers are or where they will be, taking into account the user experience.

Holiday Season is a Marathon, Not a Sprint

Gone are the days when retail just worried about the peak demands during Black Friday. This fascinating report on last holiday season done by Custora revealed that Black Friday and Cyber Monday only generated 10% of the Holiday revenue. The rest, 90% was generated over the period of 58 days.


As eCommerce expands across all industries, the peak seasons change. As you go abroad, your peak seasons and times of operation change. Now your customers celebrate Chinese New Year or International Singles Day or Earth Day.

Tip: Don’t wait for your holiday or peak season to start monitoring and optimizing performance of your eCommerce offering. Continually monitor, understand and improve your applications for all expected and unexpected peak seasons.

Make Room for New Holidays

This year we saw a brand new holiday called Amazon Prime Day. Walmart immediately mocked Amazon about it and both eCommerce providers saw a peak in traffic. Amazon claimed that Prime Day was bigger than Black Friday 2014.


Was it successful or not is beyond the scope of this blogpost. But it was indeed a great example of performance testing in production. It may seem like a distant future for your industry but it’s closer than it appears. We believe that these "retailer specific" holidays will become the new normal going forward. This gives companies a chance to test their applications and the infrastructure that supports it in real time. So when the actual peak season comes, they can be better prepared.

Tip: Performance testing in production is here to stay. Not everyone has the resource strength of Amazon and Walmart but depending on your industry, customers and nature of business, you can execute some flavor of it and become the pioneer.

Read Part 3: Maximizing eCommerce ROI in the Age of the Customer

Priyanka Tiwari is Product Marketing Manager, AlertSite, SmartBear Software.

The Latest

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 ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

Maximizing eCommerce ROI: Understanding the Latest Trends

Priyanka Tiwari

This is part 2 of the multipart blog series explaining trends in eCommerce as a result of underlying trends in technology and how ecommerce providers can maximize ROI with the help of proactive performance monitoring.

Start with Part 1: Maximizing eCommerce ROI with Synthetic Monitoring

In the last post, we learned about the eCommerce opportunity, its spread across all industries and the nature of eCommerce ecosystem. In this blog post we will see the trends in eCommerce and how you can thrive in your business with the help of proactive performance monitoring.

Your Customers Are Getting Impatient

Because good things come to those who refuse to wait! Your customers don’t want to wait as your website takes more than a blink of an eye to load. They won’t forgive you for slower websites or ill-functional apps.

In a survey done by Internet Retailer the majority of Americans said: “ ..in a real shop, they would wait in line for no longer than 15 minutes. However, on the web, over 25% will abandon a webpage that takes more than 4 seconds to load.”

... 40% will abandon a webpage that takes more than three seconds to load. And when it comes to mobile apps, customers will move on if an action takes more than 300ms to complete. IBM holiday recap report found that the bounce rate is increasing and the conversion rate is decreasing. Over the past few years, we have seen the cart abandonment rate increase to 75% in 2015.

Early this year, Business Insider reported that $4 trillion worth of merchandise will be abandoned in online shopping carts this year. And savvy eCommerce providers can recover about 63% of it.

What can a savvy eCommerce provider like you do to bring back your money?

See It as the Customer Sees It

The individual components of your eCommerce might be working well, but what happens when it all comes together? Proactively monitoring your web and mobile applications exactly as seen by the customers gives you a clear picture of user experience. Monitor actual user transactions and not just the components that support them. Be ready for whatever challenge your customers throw at you.

Tip: Monitor your web and mobile applications at the real browser level, where all the moving parts of the applications come together. Monitor from where your customers are or where they will be, taking into account the user experience.

Holiday Season is a Marathon, Not a Sprint

Gone are the days when retail just worried about the peak demands during Black Friday. This fascinating report on last holiday season done by Custora revealed that Black Friday and Cyber Monday only generated 10% of the Holiday revenue. The rest, 90% was generated over the period of 58 days.


As eCommerce expands across all industries, the peak seasons change. As you go abroad, your peak seasons and times of operation change. Now your customers celebrate Chinese New Year or International Singles Day or Earth Day.

Tip: Don’t wait for your holiday or peak season to start monitoring and optimizing performance of your eCommerce offering. Continually monitor, understand and improve your applications for all expected and unexpected peak seasons.

Make Room for New Holidays

This year we saw a brand new holiday called Amazon Prime Day. Walmart immediately mocked Amazon about it and both eCommerce providers saw a peak in traffic. Amazon claimed that Prime Day was bigger than Black Friday 2014.


Was it successful or not is beyond the scope of this blogpost. But it was indeed a great example of performance testing in production. It may seem like a distant future for your industry but it’s closer than it appears. We believe that these "retailer specific" holidays will become the new normal going forward. This gives companies a chance to test their applications and the infrastructure that supports it in real time. So when the actual peak season comes, they can be better prepared.

Tip: Performance testing in production is here to stay. Not everyone has the resource strength of Amazon and Walmart but depending on your industry, customers and nature of business, you can execute some flavor of it and become the pioneer.

Read Part 3: Maximizing eCommerce ROI in the Age of the Customer

Priyanka Tiwari is Product Marketing Manager, AlertSite, SmartBear Software.

The Latest

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 ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...