This program is designed to calculate the revenue lost to a company as a result of slow Web page load times.
The baseline for this program is 2 seconds - the current accepted standard time for a Web page to load.
Enter the data related to your Website below then hit submit.
Quantifying the Financial Impacts of Web Page Load Times
With an ever increasing interest by such Internet giants as Google, Web page load times are becoming one of the most important issues of the day. In fact, Web page load times are considered when ranking a page within search results. Google and other search properties place a huge weight on the time it takes a Web page to load. In addition, there are other ramifications that every company doing business on the Internet must deal with, one of which is lost revenue associated with slow Web page load times.
There is a standard that is loosely used when talking about Web page load times. The number most often considered the benchmark is 2 seconds. That is if a Web page takes longer than 2 seconds to load, there is a detrimental effect on the user trying to access and use that site. It is estimated that 70% of all problems that Web users have to deal with are associated with slow Web page load times. The problem will only get worse in the future. As Internet speeds rise the performance of Web pages will need to keep pace. The expectations of users will become less forgiving as time goes by. Benchmarks will be set by popular sites that are frequented by users, providing no quarter for those sites that cannot keep pace.
It has been found that Web page load times have a direct effect on the revenue associated with a Web site. Tests done by Amazon, Yahoo and Google have actually put numbers to the issue going so far as to estimate the lost revenue associated with slow Web page load times. These studies are fairly complex and expensive, leaving smaller businesses with a vague idea of what Web page load times are doing to their businesses. However, leveraging the information gleaned from those large studies has provided the data needed to create an algorithm that will help any company of any size calculate the dollars lost to slow Web page load times.
The benchmark % effect on sales due to page load
.1 * 2.5% (Average from all studies)
This is a fairly involved calculation. The good news of course is that the work has already been done. The interesting part of the exercise is that different scenarios can be run to show positive and negative effects associated with different page load times.
As a note, the section on cost of acquisition may only apply as a single input, the idea is to account for the real losses associated with spending money to acquire a potential customer and that same customer leaving the site because it is too slow.