AB Testing is not as straight forward to implement in large corporates as it may be for small garage websites. In large corporates you often have to convince senior level management about the need to invest 2 weeks of development and testing just to get a testing framework. The arguments for having AB testing are many, but managers often come back and say to you that you can achieve the same thing by just running a trial over a period of time. This article debunks that myth.
Why can't you just run atrial In general you can't just run a trial because, like statisticians like to say, there are too many independent variables. By independent variables I mean that on each release there are around 20 things that may impact the success metric that you are interested in, how can you be sure the one change that you are interested is the one that has caused the metric to go up or down? The main goal of AB testing is to isolate your independent variables so that you can understand the impact they have on conversion rates.
What are the benefits of AB testing? Well the main benefit is knowing whether a change has been a good one or a bad one. 50% of all uneducated decissions are wrong. AB testing helps you pick out the wrong ones as early as possible. The not so obvious benefit is that you can ask your coders to keep on coding past regressionn and progression testing as you can put code in the test group (B) and turn it off if it doesn't test well, or turn it on late as soon as you know it does test well.
When selling to senior level management you want to talk about dollars. There are two basic calculations that can help you justify the need for AB... to be continued I'm falling asleep... |