A/B Testing, aka Split-testing or multi-variate testing if you wish to sound posh.
The process of randomly assigning website visitors to one of two different groups (group A and B), and presenting a slightly different experience to each group. By recording and analyzing the difference in behavior between these two groups you can determine which version of your website is more successful.
A/B Testing requires a fair amount of traffic before you can be confident in the validity of your results: usually, it requires thousands of visitors, and certainly more than 100 visitors. "Multi-variate" testing is where you test more than two options at once, including combinations of features, and you are not looking for the best result, but looking to exclude the worst result. Effective multi-variate testing requires much larger traffic volumes. For example, if you tested 20 combinations, you can expect it to take 10 times as many visitors as a simple A/B test.
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