Build a Business Case for Performance Investment - It's not as much about milliseconds as it is how that translates to user satisfaction and buying behavior because a business case is about money. Faster sites make more revenue and profit. Slower sites lose customers. Consider:
The majority of Americans are said to wait in line (in a real shop) for no longer than 15 minutes. However, on the web, 1 out of 4 customers will abandon a webpage that takes more than 4 seconds to load.
The average page load time for the top 2,000 retail sites is 10 seconds.
Of the top 50 retailers, the industry average response time is 4.83 seconds
A 1-second decrease in Amazon's page load time would annually cost $1.6B in sales.
For 46% of shoppers a quick checkout determines their loyalty to a site.
Target lost $464,000 in just 150 minutes of downtime during its Missoni launch.
Smartfurniture.com improved page speed and got 20% more organic traffic, 14% more page views, and ultimately more sales.
Edmunds shaved its page load time from 9 seconds to 1.4 seconds, and increased revenue by 3%.
WorkCoachCafe.com reduced page load times from 15 seconds to 5 seconds and cleaned up broken links and redirects, and as a result experienced a 40% traffic increase.
Artbeads.com tested performance-optimized pages and revenue per visit jumped by 8%.
Amazon states that for every 100ms of latency, they lose 1% of their sales.
1 second of slower performance on pages could cost Amazon $1.6 billion in sales each year (by their own calculations).
Shoppers and consumers
Forrester found that 40% of consumers will not wait more than 3 seconds for a page to load before abandoning a site.
1 out of 5 online shoppers will abandon their shopping cart if pages are too slow.
1 out of 3 dissatisfied shoppers will visit a competitor’s site.
78% of surveyed users say they’ve felt stress or anger while using a slow website.
PhoCusWright says that 57% of online shoppers will abandon a website that takes more than 3 seconds to load.
Forrester Consulting found that the average online shopper expects a page to load in 2 seconds – twice as fast as they did in 2006.
Web Application Statistics
According to CompetePRO data, Bing and YouTube have shown the largest year-over-year (YOY) growth rates of the top five sites by unique visitor in March 2011. They come in #4 and #5 respectively. Google had about 150 million unique visitors, and it is still #1.
Although Google lost approximately 2.5% of its audience since March 2010, while Facebook grew its unique monthly visitor total by about 14.5% to about 140 million, and #3 Yahoo lost about 1%, to about 138 million unique visitors. Thus the fight for #2 and #3 is very close. Facebook over took Yahoo for second place in 2009.
Google found out that slowing search results by just 4/10ths of a second would reduce the number of searches by 8,000,000 per day
Bing hit #5 in December 2010, pushing out Amazon.com.
When it comes to total monthly time spent, Facebook easily outdistances its competitors. Facebook users spent a total of about 91.4 billion minutes on the site in March 2011, triple its nearest competitor, YouTube (about 30 billion minutes). YouTube has seen substantially higher year-over-year growth in total monthly time spent, however, increasing 133%, compared to 47% for Facebook.
Craigslist.org is #5 in monthly time spent, pushing Bing off the list with about 8.6 billion minutes, representing an almost 17% decline in minutes from March 2010. Bing has had virtually flat growth in monthly minutes since April 2009 and recorded about 2.5 billion in March 2011.
Facebook serves more than 2 million ‘Like’ buttons per second (June 2010).
Stats published by Nielsen show that social media usage has increased by 82% from 2009 to 2010.
Twitter was the fastest-growing social networking site in December 2009, during which it had 18.1 million unique visitors. That’s up from 2.7 million unique visitors in December 2008. Still, month-over-month, unique visitors decreased 5%, lending credence to the notion that the microblogging site’s popularity may be flatlining.
Facebook also held a clear lead in total page views during March 2011, recording about 85 billion. This was more than three times as many as number two Google, which had about 25.6 billion.
Craigslist.org is #3 in total page views with about 22.4 billion. YouTube lead year-over-year growth in this category at about 88%, with Yahoo Craigslist (-13%) and Google (-8%) experiencing negative growth. Bing roughly doubled its total page views from March 2010 to about 3.6 billion.
Bing's search engine had big growth in 2010 and grew 29% during 2010, driven by an 8% increase in unique searchers and 20% increase in searches per searcher.
In December 2009, Facebook was the most popular social networking site globally, with 67% of social media fans logging in.
Browser Usage Statistics
Overall averaging of stats from multiple sources show these global usage shares:
- IE - 44%
- Firefox - 30%
- Chrome - 14%
- Safari - 6%
- Opera - 3%
- Other Mobile Browser - 4%
In Europe, Firefox replaced IE as the leading browser in December 2010, with 38% usage share. IE's recent decline in Europe is thought to be explained by IE users switching to Chrome.
In China and South Korea, IE has about 90% usage share.
In Germany and Indonesia, Firefox has approx 60% and 80% usage share.
In Belarus and Ukraine, Opera is the most popular browser with approx 50% and 35% usage share.
Chrome is the most popular browser in Tunisia and Albania with respectively 47% and 50% usage share.
Web Application Security Statistics
According to the Web Application Security Consortium, automatic scanning detected up to 86% sites with one or some vulnerabilities of medium (or higher) risk level (Urgent-High). Black box and white box analysis methods increase it to 92-98%, respectively.
More than 13%* of all reviewed sites can be compromised completely automatically.
About 49% of web applications contain vulnerabilities of high risk level (Urgent and Critical) detected during automatic scanning (T. 1).
Detailed analysis shows that 99% of web applications are not compliant with PCI DSS standard (T. 6, P. 13).
The most wide spread vulnerabilities are Cross-site Scripting, different types of Information Leakage, SQL Injection, HTTP Response Splitting;
Administration issues are 20% more frequent cause of a vulnerability than system development errors;
Detailed white box method analysis allows to detect up to 91 vulnerabilities per web application, while automatic scanning – only 3;
Compared to 2007, the number of sites with wide spread SQL Injection and Cross-site Scripting vulnerabilities fell by 13% and 20%, respectively.
The number of sites with different types of Information Leakage rose by 24% from 2007.
The probability to compromise a host automatically rose from 7 to 13 %.