Load Testing Prior to Holiday Season Rush Can Help Reduce Cart Abandonment Rate by up to 18%

The holiday shopping season is rapidly closing in and e-commerce sites and services all over the world are preparing for one of the busiest times of the year. With expected traffic spikes on November 29th – Black Friday and December 2nd – Cyber Monday.

The pressure to capture every last sale is even greater this year as it is the shortest holiday shopping season in over a decade. 

To understand the grandeur of what is at stake if you fail to meet customer performance demands, let’s recap some stats.

When it comes to shopping chart abandonment, the stakes get even higher…..

At this point, you might be asking yourself, but what impact does website performance really have on all this anyway? The answer is, quite a lot actually.

According to Tammy Everts’ blog, one out of five of those carts are abandoned due to slow website performance. Simply put, 18% of shoppers will abandon their cart if pages are too slow. If 18% of that loss can be attributed to slow pages, then this correlates to more than $3 billion in lost sales (across US e-commerce sites) due to poor performance.

Now, while some e-commerce sites are making appropriate preparations for expected visitor load, others are just holding their breath and suffering from ‘the ostrich effect‘ - basically just avoiding to deal with an obviously risky business situation by pretending it does not exist.

Instead of burying their heads in the sand, they should just accept that the risk is very real and extremely probable and start performance testing before it’s too late.

It’s almost embarrassing if they don’t, since cloud-based load testing tools are so accessible and affordable. It was somewhat excusable when you had hardware to install and licenses to buy, but nowadays… seriously?!

In fact, our recent State of Web Readiness report found that while shoppers demand page load speeds in the milliseconds, most e-commerce sites have response times closer to 8 seconds. This could be due to the fact that those same  e-commerce site owners surveyed overestimated their website capacity by roughly 3.4 times.

SoWR- Graph-Response Times

A lot of companies are preparing to meet the upcoming traffic spike and increased activity by taking appropriate measures. Some of those measures are quite easy, we wrote about a few of them a while back in another blog post called “Different types of website performance testing – Part 3: Spike Testing“.

On the up side, you already have some general data about what to expect in terms of traffic spikes. Simply knowing how traffic will trickle in on those key dates will help you to configure more realistic test execution plans.

cyber_monday_spending_by_date

But make no mistake, if you don’t try out the durability of your site you can’t really be sure that the correlation of all active components of your services – 3rd parties resources or content, feeds, content management platforms, databases and internal systems – will provide for an acceptable customer experience.

Basically what we’re saying is: don’t pull an ObamaCare, load test before its too late.

Listen to Load Impact CTO and CEO discuss performance testing  prior to holiday ramp-up on the Rackspace Google Hangout.

 

One response to “Load Testing Prior to Holiday Season Rush Can Help Reduce Cart Abandonment Rate by up to 18%

  1. An intriguing discussion is worth comment. I do think
    that you need to publish more about this subject, it may not be a taboo matter
    but typically people don’t talk about such topics. To the next!

    Best wishes!!

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About Load Impact

Load Impact on-demand services detect, predict, and analyze performance problems – providing the information businesses need to proactively optimize their websites, apps and APIs for customers.
 
With its roots in work for NASDAQ and the European Space Agency, Load Impact has been redefining load testing since 2011 by making it cost-effective, instantly available, automated, and very easy to use.
 
Test your website, app or API at loadimpact.com

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