These answers come from the year-long archive of my previous chatbot that lived on my previous site iamnicola.ai. I’ve curated the most useful sessions—real questions from operators exploring AI workflows, experimentation, and conversion work—and lightly edited them so you get the original signal without the noise.

experimentation

What is multivariate testing and when should I use it?

Multivariate testing tests multiple variables simultaneously to understand how different combinations perform. Unlike A/B testing which tests one variable, multivariate testing can test headline + image + CTA combinations, for example. Use it when you want to understand interactions between elements or when you have high traffic and want to test faster. However, it requires much more traffic than A/B testing since you're testing multiple combinations. It's best for pages with very high traffic where you can get statistical significance quickly. For most sites, A/B testing is more practical. Example: A high-traffic e-commerce site used multivariate testing to test 3 headlines × 3 images × 2 CTAs (18 combinations) simultaneously, finding the optimal combination faster than sequential A/B tests.

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