4 Website E-Commerce Testing Strategies for Peak Times

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:: By Archie Roboostoff, MicroFocus ::


Nearly half (47 percent) of consumers expect a Web page to load in 2 seconds or less, and after 3 seconds, 40 percent of these shoppers will abandon the site, according to KISSmetrics. And once visitors leave, it is extremely difficult to get them back: 88 percent of online consumers are less likely to return to a site after a bad experience. 

Despite the high stakes, the websites of several leading retailers continue to underperform on peak days like Black Friday, Cyber Monday and throughout the holiday online shopping season – as their websites crashed, slowed down to an unusable pace, or they failed to prepare their mobile sites for the increasing number of consumers using smartphones and tablets to make purchases. 

The inevitable question when brand websites and e-commerce capabilities fail during at the most critical moment is…why? Most firms will insist they measure, test and measure again. And many do; but for a number of reasons the annual holiday website failures are as predictable as the neighbor down the street who puts up his Christmas lights before the calendar turns to December. 

Challenges to peak load testing

The majority of sophisticated brands measure and test website performance in advance of the holidays in order to ensure websites (desktop and mobile) can handle the load. However, some underestimate the load; expecting, for example, a 40 percent spike and instead getting an 80 percent jump. Beyond underestimating the website traffic spike, the use of traditional performance testing software has required a significant investment of money, time and resources – serving as a barrier to adoption and leading some to ignore the peak load challenge altogether. 

Similarly, chronic departmental silos add another layer of complexity to the problem. Traditionally, website performance was considered an IT problem, but as marketers become increasingly tech–savvy with the rise of digital marketing, a poor-performing website is a big problem for the marketing department as well. A failed website can have detrimental effects on seasonal promotions and sales. Often the website peaks and troughs are driven by marketing activity, but marketers need to ensure that their website can handle an increase in traffic and is ready for peak performance. 

There are evolving challenges as well: 73 percent of consumers surveyed by Retale planned to use mobile devices for shopping activities this year. Growing mobile usage makes it difficult for businesses to identify what the peak load is going to be. At the same time, retailers are indicating a shift from concentrating promotions on two set days (Black Friday and Cyber Monday) that generate huge traffic, to a more spread out approach whereby traditional sales last for several days. This can have an impact on when peak loads occur, and as is the case with any new approach, the results can always defy retailer expectations. 

Effective performance testing of websites and mobile applications for the peak load of the holiday online shopping period requires several best practices, including: approaching the problem strategically; testing continuously and moving testing forward with planning; realistic testing that accounts for usability, behavior patterns, device types, network speeds and location; virtualized testing environments; and elastic execution.  

More specifically, retailers should consider the following four website and mobile testing strategies to ensure they maximize the revenue and business opportunity the holiday season offers – and adequately prepare for the next planned or unplanned spike: 

1. Performance test regionally

Given the global nature of today’s market, it is critical to capture the performance experience of customers across all potential access regions. There are so many variables in play based on the physical location of the servers, and if you are only testing users in a confined geography, you are opening the door to unforeseen issues. An organization needs to know what the performance experience is for all users coming to their sites. By segmenting performance experiences across various regions, an organization will be able to come up with options to overcome any degraded performance that might result from implementing more servers, streamlining “foreign” transactions and/or adding local content delivery networks.  

2. Test adequately for mobile

In Jan. 2014, comScore tracked that, for the first time, mobile Web browser usage overtook desktop Web browser usage in the United States. Testing for the user experience is more difficult than ever before, as there are more devices, more platforms and more browsers. 

Walmart recently became the latest major retail brand to transform its online shopping application with a mobile focus designed to increase conversion rates on the application and improve the shopping experience for mobile customers. 

The better the mobile experience, the more consumers will be inclined to do their shopping on smartphones and tablets. Retailers must increase their performance testing across mobile properties to ensure that all of the hard work and money spent to increase mobile usage is not undone by sites that don’t load or apps that crash during peak holiday periods.  

Aside from testing the mobile end user experience, it’s also important to simulate various mobile network speeds.  In some circumstances, servers have to work harder to deal with items like mobile latency so a mobile network speed simulation should also be conducted in conjunction with overall performance testing.  This can be done by allocating a certain percentage of users in the overall performance test to, for example, originate from a 3G network using an iPhone 5.  This will isolate where the application isn’t being responsive with relatively slower mobile networks.  

3. Catalog and segment transactions by developing an accurate user model

Different transactions cause the infrastructure to react in different ways and it’s important to segment and catalog key transactions to test appropriately.  Start by developing an accurate user model(s) that reflects how your customers use the site on both an average day and a peak volume day. Essentially, this will become your standard performance test(s). Consider browser types, device types as well as load amounts across the site.  The key is to prioritize performance based on user types, commercial needs and devices.  This allows the company to simulate various transactions to isolate slow processing times and also places an emphasis on business priorities.  This also isolates any third-party services that may be slowing the overall site down like analytics and tracking services.  

4. Scale with the Cloud

By implementing a performance testing solution via the cloud, organizations can more effectively and affordably manage heavy loads on the company’s website.  By using the cloud, organizations are able to simulate as many users as they want without having to setup or invest in hardware to generate the load.  

Cloud-based performance testing provides a multitude of benefits to support the retailer year-round, and particularly during peak-load periods: 

Assured performance – Cloud-based infrastructures are extremely well suited to generating the peak demands required for enterprise performance testing. Peak load testing in the cloud takes advantage of the ability to run tests virtually on-demand.  Businesses can simply schedule the time for a test and resources are automatically provisioned. 

Worldwide readiness – Using cloud technologies can also enable the performance management team to not only evaluate the applications’ global readiness but conduct tests across the globe by replicating virtual users in a variety of different locations to ensure the website can handle users far and wide. 

Cost control – The elasticity of the cloud provides the ability to scale computing resources up or down as needed to ensure website performance is affordable. Using utility-style pricing, businesses only pay for what they use. In comparison to a traditional solely on-premise model, a company would have to acquire computing power to support very large user tests for the lifetime of the application.

In its recent survey of online sales, Deloitte forecasts a tangible change in the narrative of holiday sales. The firm sees traditional retailers starting to catch up to online-only competitors due to significant investments in websites, mobile apps and tablet capabilities. As these brick-and-mortars put more eggs in the online sales basket, consumer expectations will continue to rise. Traditional and emerging retailers that do not test properly for peak load traffic during the holidays risk losing revenues and customers. 


Archie Roboostoff is Director of the Borland Portfolio at MicroFocus, a leading global provider of application modernization software.

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