An informal term for large-scale experimentation that goes beyond a regular A/B test.

Instead of testing just 2 variants (A/B testing), A/Z testing explores a wide range of options, sometimes dozens, to see what performs best.

It’s often used by marketing, product, and sales teams to optimize elements such as subject lines, CTAs, landing pages, onboarding flows, and pricing.

While not a formal analytics method, A/Z testing is a playful way to describe the mindset of ''Let’s test everything' to find what truly brings the best results''.