What do you mean, you want to experiment on everything that comes after the folder /products/ of your website? If you mean, is to make all of the pages that comes after that folder, become variations, then I'm sorry because the variations are only limited to 9 pages. Some other articles like Split Testing With Google Analytics Experiments | Webdesigntuts+, said that the variations are limited to five, but when I test it, I could add up to nine variations. So, the best thing that you can do is to add the most important and you think the best pages to become variations, such:
- Original Page : domain.com/products
- Variation 1 : /shirt/100
- Variation 2 : /pants/200
- Variation 3 : /hat/300
- Variation 4 : /a/400
- Variation 5 : /b/500
- Variation 6 : /c/600
- Variation 7 : /d/700
- Variation 8 : /e/800
- Variation 9 : /f/900
And if it's not enough for you, then you can create another experiment after a winner have been arrived on this experiment, after replacing the file of your original page with the file of the winner variation if ever the original have defeated. And then create a new experiment with different variation pages, only if you still want to improved the original page.
For example the original page has defeated by the variation 1 domain.com/shirt/100 then you should better replaced the file of domain.com/products into the file of domain.com/shirt/100 then start a new experiment again but in this time, with different competitors like:
- Original Page : domain.com/products
- Variation 1 : /g/1000
- Variation 2 : /h/1100
- Variation 3 : /i/1200
- Variation 4 : /j/1300
- Variation 5 : /k/1400
- Variation 6 : /l/1500
- Variation 7 : /m/1600
However, you can still apply the loser variations of the previous experiment to become new variations on your new experiment, to become competitors of your improved original page, such:
- Variation 8 : /pants/200
- Variation 9 : /hat/300
But make sure that their sources are much different from theirs sources before they've been defeated, to test the improvements of their files if one of them can become the most successful on the new experiment.