May 28, 2011 at 4:31 AM
Edited May 28, 2011 at 4:32 AM
From that wiki article, "A/B testing, split testing or
bucket testing is a method of marketing testing" - I'm not sure how a marketing testing practise would apply to web optimization?
Perhaps an example might help. Suppose you were running a travel website where you wanted people to register. Now suppose you showed (based on random selection) half the new visitors a picture of European beaches on the home page and the other half a picture
of the Grand Canyon. Further suppose that you checked your weblogs and found that visitors from North America who were shown the photo of Europe were twice as likely to register as those shown the photo of the Grand Canyon. Further suppose that the exact opposite
were true for visitors from Europe.
Once you had that data, you might conclude that the best strategy for attracting new people to register on your site would be to show the Grand Canyon to visitors from Europe and European Beaches to people from America.
Big sites like Google and Bing do this sort of thing all the time, delivering content tailored to what they know (such as IP address or time of day) about a web visitor.