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E-Commerce Secrets to Retail Holiday Success - Part 2

Ari Weil

Optimizing online web performance is critical to keep and convert customers and achieve success for the holidays and the entire retail year. Akamai's The State of Online Retail Performance report lays out the challenges online retailers face.

Start with E-Commerce Secrets to Retail Holiday Success - Part 1


Mobile Users Bounce Around

As noted above, half of the online shoppers browse for products and services on their mobile devices. And of those, more than half are going to bounce. The stickiest consumers are on tablets, where the bounce rate averages 40.6 percent. Desktop users fall in the middle, with a 43 percent bounce rate. Unfortunately, losing up to half of your visitors is the harsh reality of online commerce. Consumers aren't patient, and they are only one back-button click from Google search results and competitors' websites.

A one-second delay can bump the bounce rate by almost 50 percent on mobile, and a two-second delay more than doubles it. Mobile users seem to be the most sensitive ones, but the impacts are similar with delays on desktop and tablet. If you are acquiring customers through search engine marketing campaigns, then these user bounce rates mean you not only missed the chance to show these customers your products, but you also paid a per-click price just to have the user leave the page before it even finished loading.

An efficient and effective strategy for minimizing bounce rate is to be visually complete as quickly as possible and load important page elements above the fold first. Once users can see and interact with the page, they assume the page is loaded even if other elements or third-party scripts are still loading in the background.

A start-render measurement is often the metric tracked here to demonstrate the point in time when something was displayed on the screen. A maximum start-render time of 0.9 seconds on desktop, 1.3 seconds on mobile, and 1.5 seconds on tablets corresponds to the lowest bounce rate on each device.

Third-Party Scripts

When it comes to providing a fast and seamless experience, less is often more. By reducing the number of page elements on a page and by utilizing the least amount of third-party scripts, one can provide the best page performance. But we also should keep in mind the entire customer experience. For example, we know that consumers convert at a higher level on personalized pages, and personalization usually requires third-party scripts. So, should one remove all third-party scripts and give consumers a Google like search page? Probably not. If third-party scripts are used to appropriately improve the customer experience and are loaded asynchronously, they can increase conversion.

Interestingly, the highest-converting desktop and tablet pages contained 20–25 third-party scripts, and the best-converting mobile pages contained 15–20. This is consistent with a joint machine learning project conducted by Akamai and Google which found that user sessions that converted contained 48 percent more scripts than sessions that did not.

That said, those scripts should be used judiciously and optimized well; simply throwing more scripts on the page will certainly not help conversion. Before adding elements to a page, retailers should always ask – what customer struggle point does this address or how does this improve the customer experience? If the answer to these questions is none, then perhaps that new element is not a priority item to add to the page.

Holiday Preparedness Starts Now

The Akamai study offers a lot of data to parse. But what is the real bottom line for online retailers?

Optimize for mobile — its influence on sales is only going to increase.

Monitor your site all the time to spot poorly-performing pages so you don't leave money on the table.

Run load tests before peak traffic times based on real user traffic patterns.

Prioritize customer experience and remove unnecessary third-party tags.

Implement a robust caching and content delivery strategy to ensure uptime and scalability.

Holiday shopping and promotion start earlier every year, so you can't wait until November 22. Start now, be thorough, and make it the best online year ever.

The Latest

Outages aren't new. What's new is how quickly they spread across systems, vendors, regions and customer workflows. The moment that performance degrades, expectations escalate fast. In today's always-on environment, an outage isn't just a technical event. It's a trust event ...

Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

E-Commerce Secrets to Retail Holiday Success - Part 2

Ari Weil

Optimizing online web performance is critical to keep and convert customers and achieve success for the holidays and the entire retail year. Akamai's The State of Online Retail Performance report lays out the challenges online retailers face.

Start with E-Commerce Secrets to Retail Holiday Success - Part 1


Mobile Users Bounce Around

As noted above, half of the online shoppers browse for products and services on their mobile devices. And of those, more than half are going to bounce. The stickiest consumers are on tablets, where the bounce rate averages 40.6 percent. Desktop users fall in the middle, with a 43 percent bounce rate. Unfortunately, losing up to half of your visitors is the harsh reality of online commerce. Consumers aren't patient, and they are only one back-button click from Google search results and competitors' websites.

A one-second delay can bump the bounce rate by almost 50 percent on mobile, and a two-second delay more than doubles it. Mobile users seem to be the most sensitive ones, but the impacts are similar with delays on desktop and tablet. If you are acquiring customers through search engine marketing campaigns, then these user bounce rates mean you not only missed the chance to show these customers your products, but you also paid a per-click price just to have the user leave the page before it even finished loading.

An efficient and effective strategy for minimizing bounce rate is to be visually complete as quickly as possible and load important page elements above the fold first. Once users can see and interact with the page, they assume the page is loaded even if other elements or third-party scripts are still loading in the background.

A start-render measurement is often the metric tracked here to demonstrate the point in time when something was displayed on the screen. A maximum start-render time of 0.9 seconds on desktop, 1.3 seconds on mobile, and 1.5 seconds on tablets corresponds to the lowest bounce rate on each device.

Third-Party Scripts

When it comes to providing a fast and seamless experience, less is often more. By reducing the number of page elements on a page and by utilizing the least amount of third-party scripts, one can provide the best page performance. But we also should keep in mind the entire customer experience. For example, we know that consumers convert at a higher level on personalized pages, and personalization usually requires third-party scripts. So, should one remove all third-party scripts and give consumers a Google like search page? Probably not. If third-party scripts are used to appropriately improve the customer experience and are loaded asynchronously, they can increase conversion.

Interestingly, the highest-converting desktop and tablet pages contained 20–25 third-party scripts, and the best-converting mobile pages contained 15–20. This is consistent with a joint machine learning project conducted by Akamai and Google which found that user sessions that converted contained 48 percent more scripts than sessions that did not.

That said, those scripts should be used judiciously and optimized well; simply throwing more scripts on the page will certainly not help conversion. Before adding elements to a page, retailers should always ask – what customer struggle point does this address or how does this improve the customer experience? If the answer to these questions is none, then perhaps that new element is not a priority item to add to the page.

Holiday Preparedness Starts Now

The Akamai study offers a lot of data to parse. But what is the real bottom line for online retailers?

Optimize for mobile — its influence on sales is only going to increase.

Monitor your site all the time to spot poorly-performing pages so you don't leave money on the table.

Run load tests before peak traffic times based on real user traffic patterns.

Prioritize customer experience and remove unnecessary third-party tags.

Implement a robust caching and content delivery strategy to ensure uptime and scalability.

Holiday shopping and promotion start earlier every year, so you can't wait until November 22. Start now, be thorough, and make it the best online year ever.

The Latest

Outages aren't new. What's new is how quickly they spread across systems, vendors, regions and customer workflows. The moment that performance degrades, expectations escalate fast. In today's always-on environment, an outage isn't just a technical event. It's a trust event ...

Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...