Hello HN!<p>I am frequently asked to provide some financial justification around doing certain things to improve response time of web applications, especially in the e-commerce space.<p>I usually end up building a model based on response time vs conversion rate, showing how the reduction (or increase) of the first is causing a change to the latter.<p>I base the estimates on the three different models:<p>a) Amazon, where a 100ms increase in latency has a 1% hit on revenues [0]
b) Google, where a 0.5 seconds increase in latency decreases traffic by 20% [1]
c) Walmart, where a 1 second reduction in the response time causes a 2% increase in conversion rates and for every 100ms they grow incremental revenues by 1% [2]<p>All those numbers have been circulating from multiple sources and shown in a number of presentations, but they're all fairly dated (some of them are from 2006!).<p>If you do, how do you handle this task? Do you have more recent statistics to base models on?<p>Thank you!<p>[0] http://blog.gigaspaces.com/amazon-found-every-100ms-of-latency-cost-them-1-in-sales/<p>[1] http://glinden.blogspot.com/2006/11/marissa-mayer-at-web-20.html<p>[2] http://www.webperformancetoday.com/2012/02/28/4-awesome-slides-showing-how-page-speed-correlates-to-business-metrics-at-walmart-com/