One of the tasks performed by data scientists at eBay involves “A/B testing” on the site (Saran, April 29, 2014). With A/B testing, eBay continually makes changes to homepages, whether with font, colors, images, offers, packages on the go in order to get more clicks, longer visits , more purchases. Unknowingly, a fraction of users are redirected to a slightly different version of a given web page and their behavior is compared to the mass of users on the standard site (Christian, April 25, 2012). If the new version proves effective, it will replace the original or it will be phased out without most users seeing it. Another advantage offered by the use of big data and analytics technology is that by using powerful search tips, eBay is able to present search query tips based on topics already requested by users experienced. These searches allow eBay sellers to see whether it's best to set a low auction reserve price, whether free shipping is important and other issues related to selling on eBay (Saran, April 29).,