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Maximizing eCommerce ROI in the Age of the Customer

Priyanka Tiwari

This is part 3 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

Start with Part 2: Maximizing eCommerce ROI - Understanding the Latest Trends

Compete with Yourself First

eCommerce is ever-changing and so are the customers, who are the raison d'être of eCommerce. As you expand your offerings and start catering to different demographics, your competitive landscape becomes more complex. Now you are competition against the companies in your market as well as your historic self. Don't ignore your current and returning customers while running after the new ones. When a single second of page load delay and every instance of poor performance directly hits your bottom line, make baselining the first step of your performance optimization strategy.

Tip: Monitor in pre-production environment to baseline your performance. Compare that against your historic self and your competitor's performance.

Be Prepared for the Age of the Customer

In the Age of the Customer, your customers decide where and how they want to access your eCommerce platform. They select the browsers, the Internet service providers, the wireless networks and the physical devices on which they would access your website or the app. eMarketer did a fantastic report on trends in the world of Mobile eCommerce or m-commerce as they call it. Online shoppers love mobile but 37% hated the inconsistencies in user experience across various devices. Customers demand seamless experience across all the devices and platforms they use to access your eCommerce offering.

Tip: Monitor your eCommerce offering – Websites, web apps, mobile responsive web and native mobile app considering all diverse use cases: various locations, real devices, browsers, Internet providers and wireless networks.

Mobile Rocks but Web Still Matters

We all hear how mobile is taking over the world. It's the "Cloud first, Mobile first" world. In developing countries more people access the Internet from their mobile devices than the desktops. Per the IBM Holiday report, conversion rate and average value per order was higher for desktops than for mobile devices. Small screen devices browse, large screen devices buy!


India's largest eCommerce provider Flipkart announced that they will soon go only-app just like their newly acquired asset Myntra. The adoption and usage of the mobile phone varies across different geographies and industries. Personally, I would be far more comfortable buying a pair of shoes via my smartphone than filing my taxes or buying my health insurance. Mobile matters for some industries, but desktop is still relevant and prominent for others.

Mobile app users may be more forgiving about the load time, but they reportedly leave the app if an action doesn't complete in 300ms. Ensuring performance on diverse mobile devices running on various networks is challenging for the app providers. Customers who want to browse and research on smartphone, add items to cart on a tablet, and checkout on a desktop are not making this easy. That's why we see many companies opting for mobile responsive web. The pros and cons of mobile responsive web vs native app is a discussion for another time. But as m-commerce grows, the need for improving and maintaining mobile experience grows.

Tip: Understand the conversion paths for your eCommerce offering and bulletproof them. Strive for ultimate mobile experience without losing the focus on websites.

In the next post, I will conclude the blog series with understanding the significance of APIs in eCommerce and a final tip to measure and monitor the application performance.

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 in the Age of the Customer

Priyanka Tiwari

This is part 3 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

Start with Part 2: Maximizing eCommerce ROI - Understanding the Latest Trends

Compete with Yourself First

eCommerce is ever-changing and so are the customers, who are the raison d'être of eCommerce. As you expand your offerings and start catering to different demographics, your competitive landscape becomes more complex. Now you are competition against the companies in your market as well as your historic self. Don't ignore your current and returning customers while running after the new ones. When a single second of page load delay and every instance of poor performance directly hits your bottom line, make baselining the first step of your performance optimization strategy.

Tip: Monitor in pre-production environment to baseline your performance. Compare that against your historic self and your competitor's performance.

Be Prepared for the Age of the Customer

In the Age of the Customer, your customers decide where and how they want to access your eCommerce platform. They select the browsers, the Internet service providers, the wireless networks and the physical devices on which they would access your website or the app. eMarketer did a fantastic report on trends in the world of Mobile eCommerce or m-commerce as they call it. Online shoppers love mobile but 37% hated the inconsistencies in user experience across various devices. Customers demand seamless experience across all the devices and platforms they use to access your eCommerce offering.

Tip: Monitor your eCommerce offering – Websites, web apps, mobile responsive web and native mobile app considering all diverse use cases: various locations, real devices, browsers, Internet providers and wireless networks.

Mobile Rocks but Web Still Matters

We all hear how mobile is taking over the world. It's the "Cloud first, Mobile first" world. In developing countries more people access the Internet from their mobile devices than the desktops. Per the IBM Holiday report, conversion rate and average value per order was higher for desktops than for mobile devices. Small screen devices browse, large screen devices buy!


India's largest eCommerce provider Flipkart announced that they will soon go only-app just like their newly acquired asset Myntra. The adoption and usage of the mobile phone varies across different geographies and industries. Personally, I would be far more comfortable buying a pair of shoes via my smartphone than filing my taxes or buying my health insurance. Mobile matters for some industries, but desktop is still relevant and prominent for others.

Mobile app users may be more forgiving about the load time, but they reportedly leave the app if an action doesn't complete in 300ms. Ensuring performance on diverse mobile devices running on various networks is challenging for the app providers. Customers who want to browse and research on smartphone, add items to cart on a tablet, and checkout on a desktop are not making this easy. That's why we see many companies opting for mobile responsive web. The pros and cons of mobile responsive web vs native app is a discussion for another time. But as m-commerce grows, the need for improving and maintaining mobile experience grows.

Tip: Understand the conversion paths for your eCommerce offering and bulletproof them. Strive for ultimate mobile experience without losing the focus on websites.

In the next post, I will conclude the blog series with understanding the significance of APIs in eCommerce and a final tip to measure and monitor the application performance.

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 ...