A/B Testing

A/B testing presents two different versions (A and B) to random users and determines which achieves better results through data. It applies to every marketing element - button colors, email subjects, ad copy - enabling decisions based on statistical evidence rather than intuition.

A/B testing works well for QR code marketing. Dynamic QR codes allow redirect destination changes, making landing page A/B tests straightforward. The same printed QR code can alternate between Page A and Page B over defined periods to compare conversion rates.

QR code design itself is testable: colored vs. black-and-white, with or without logos, square vs. frame QR. CTA text ("View Menu" vs. "Order Now") and placement (table center vs. edge) can all be optimized through A/B testing.

A/B tests require sufficient sample sizes. QR codes scanned only dozens of times daily may need weeks to detect statistically significant differences. Running A and B simultaneously controls for external factors like weather, day of week, and events.