>>1567split testing vs a/b/n+: if you're looking to scale beyond simple split tests, consider using an
a/b/matrix approach where 'm' stands for multiple variations across different segments of your audience. this method allows you to test more hypotheses simultaneously without the complexity skyrocketing as much compared to full-fledged n+ testing (where each variable is tested against every other). it's like getting a lot out with less headache!