With Black Friday and Cyber Monday just weeks away, Catchpoint has identified the top five technical items most likely to cause web or mobile shopping sites to perform poorly.
When an online retail site is unavailable on a big shopping day, it is essentially the same as shutting the doors of a physical store
Every Black Friday-Cyber Monday weekend in the last decade has seen at least one major online retailer with web or mobile site outages or slowdowns. Memories of last year’s Black Friday problems, and Amazon’s Prime Day missteps this summer, should remind retailers that no company, big or small, is immune to interruptions or slowdowns in its sites’ digital experience.
Online retailers can learn from the mistakes of the past to optimally prepare and best position themselves for a smooth kick-off to the holidays.
The following elements are the most likely to cause slow load times or outages in the upcoming season:
1. Third Parties
These are site elements hosted by outside companies and beyond the direct control of the main site. One sluggish third-party component can slow down an entire web page. Example: in 2016 a high-end home goods retailer experienced very slow page load times intermittently on Black Friday due to problems with a third-party photo display service.
2. Regional View
If an online retailer monitors page load times only using national averages, it could be missing local or statewide performance problems. Example: in 2016 a major retailer experienced problems on its desktop site due to an ad tech provider, ultimately leading to ongoing site blackouts in Phoenix, starting early in the long holiday weekend.
3. Critical APIs
APIs are fundamental components of e-commerce sites, often supporting customer-facing, revenue-generating applications. Like third party services, popular APIs can come under major strain during peak traffic periods. If an API supporting payment options on a site breaks, an abandoned shopping cart will be the likely result.
4. Page Weight
One of the easiest ways to ensure faster load times is to make certain a site’s page weight (amount of data loaded into a shopper’s browser) isn’t too large. This is a technique large and small retailers often employ during peak traffic days, usually by eliminating excess images or graphics.
5. Server Scalability
The Amazon Prime Day outage was reported to be the simple result of overloaded servers. Load testing internal servers is one of the most straightforward, simple things one can do, as well as having additional servers on standby.
When an online retail site is unavailable on a big shopping day, it is essentially the same as shutting the doors of a physical store. And when your page load time slows, that’s the same as forcing a customer to stand in a long checkout line.
It’s important to remember that comprehensive monitoring from the end-user perspective is the definitive way to gain visibility into all the performance-impacting elements in the delivery chain, including those beyond one’s own firewall.
The Latest
Industry experts offer predictions on how NetOps, Network Performance Management, Network Observability and related technologies will evolve and impact business in 2025 ...
In APMdigest's 2025 Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 6 covers cloud, the edge and IT outages ...
In APMdigest's 2025 Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 5 covers user experience, Digital Experience Management (DEM) and the hybrid workforce ...
In APMdigest's 2025 Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 4 covers logs and Observability data ...
In APMdigest's 2025 Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 3 covers OpenTelemetry, DevOps and more ...
In APMdigest's 2025 Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 2 covers AI's impact on Observability, including AI Observability, AI-Powered Observability and AIOps ...
The Holiday Season means it is time for APMdigest's annual list of predictions, covering IT performance topics. Industry experts — from analysts and consultants to the top vendors — offer thoughtful, insightful, and often controversial predictions on how Observability, APM, AIOps and related technologies will evolve and impact business in 2025 ...
Technology leaders will invest in AI-driven customer experience (CX) strategies in the year ahead as they build more dynamic, relevant and meaningful connections with their target audiences ... As AI shifts the CX paradigm from reactive to proactive, tech leaders and their teams will embrace these five AI-driven strategies that will improve customer support and cybersecurity while providing smoother, more reliable service offerings ...
We're at a critical inflection point in the data landscape. In our recent survey of executive leaders in the data space — The State of Data Observability in 2024 — we found that while 92% of organizations now consider data reliability core to their strategy, most still struggle with fundamental visibility challenges ...