According to a report by IBM Trend Watson, online sales for Black Friday increased more than 21.5% for the same day in 2014. In 2015, the average order value for cellphones and desktops from the sale of Black Friday was $ 127.84 in the US And total online sales during Black Friday and Cyber Monday reached a record $ 5.81 billion.
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Black Friday is the most critical day in the e-commerce industry, leaving the victim behind him. A large amount of traffic can increase income but, when e-commerce sites are not ready to withstand increased traffic which is large, it can cause a web site strike. Accident websites can have a negative impact not only on online sales but also on customer trust and damage the brand as a whole. It's important for websites for tough to maintain large surge traffic.
There are less than 2 months before Black Friday so this is the right time for e-commerce companies to check whether their website, application, and infrastructure are ready for anticipated crowd. To ensure that the website is ready, we recommend the system must be 100% set performance and planned.
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Here are 6 best performance testing practices for Black Friday
1. Assess basic performance:
Today's analytical review to understand the current site's performance. What is the burden during busy days and rush hour? How is the performance during a busy period? Are there congestion, failure, etc.? Is performance acceptable under current volume? Where did the traffic come from?
2. Evaluate the goal of your site's performance from the load, stress, and the expected volume point of view:
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To determine whether your website can handle Black Friday / Cyber Monday, you need to understand what traffic is expected. How many online buyers do we expect at rush hour? Do we anticipate a significant nail based on time sensitive bidding or increased traffic stable? Which type of transaction we are anticipated (eg short visits with people who take advantage of several longer offers or visits with exploration, search, etc.) based on numbers taken, analytical data and expected results, expected load including the amount expected, the main types of transactions, and traffic nails can be projected.
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In the case of projected the performance load cannot be determined, we recommend planning for 3-4 times traffic from the current load. To ensure that it gets optimal coverage of the site is considered from a transaction perspective, identifying 20% online transactions that cover 80% of the total workload. It is usually 15-20 transactions that focus on searching for products, shopping baskets, check out, coupon codes, etc.
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