A/B Testing

Data-driven optimization

Test different QR code destinations, designs, or landing pages to find what works best. Our A/B testing dashboard shows statistical significance so you can make confident decisions.

How It Works

1

Create variants

Set up two or more QR code variants with different destinations, designs, or content.

2

Split traffic

Configure traffic allocation (e.g., 50/50 split). Our system automatically routes scans to each variant.

3

Analyze results

Monitor performance in real-time. We calculate statistical significance so you know when you have a clear winner.

A/B Testing

Test different QR code destinations, designs, or landing pages to find what works best. Our A/B testing dashboard shows statistical significance so you can make confident decisions.

Variant A
52%
1,240 scans
Variant B
48%
1,140 scans
95% confidence

Key Benefits

Test up to 4 variants simultaneously
Automatic traffic splitting
Statistical significance calculation
Real-time performance monitoring
Easy winner declaration
Full scan attribution

Perfect For

Testing different landing pages

Comparing promotional offers

Optimizing call-to-action design

Measuring design impact on scans

Learn More

A/B Testing Guide

Read our comprehensive guide to get the most out of this feature.

Read Guide

Ready to get started?

Create your first QR code in seconds. No credit card required.

Frequently Asked Questions

How does QR code A/B testing work?
Create two or more destination URL variants for a single QR code. Quality QR automatically splits traffic between variants and tracks which performs better. View results with statistical confidence levels in your dashboard.
Do I need separate QR codes for A/B testing?
No. A single printed QR code can run an A/B test. The system routes scanners to different destinations automatically, so you don't need to print multiple codes.
Which plans include A/B testing?
A/B testing is available on Pro and Business plans. The free plan includes 1 dynamic QR code with standard analytics but without split testing.