Multivariate Testing – Taguchi Method
In the earlier post, we talk about multivariate testing.
Here’s a more advanced of multivariate testing that I prefer – the Taguchi testing.
Let me explain what’s Taguchi testing is all about.
Taguchi testing is a statistical testing method devised by a Japanese engineer, Dr Genichi Taguchi.
It uses the orthogonal array model instead of the traditional full fractional model (used by Google Website Optimizer). Now that’s all math geek speak, so I’m not going to elaborate on that.
What’s most important is that with Taguchi testing, you can reduce the number of combinations needed for testing.
For example, if you have 4 elements with 2 variations each, you will need to test 16 (2 x 2 x 2 x 2) combinations using the traditional multivariate method.
With the Taguchi method, the number of combinations needed is reduced to only 8.
That means, you can reach a reasonable conclusion in a much faster time. And with that, you also save more on advertising fees because you only need a smaller sample size.
Let’s not forget, the faster you find a successful combination, the faster you get profitable. It’s all about time and money!
The drawback is that, Taguchi testing (fractional) may not yield as “deep” conclusion that you can get with full factorial multivariate test (which test all possible combinations).
To your success,
Jag Foo
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