A/B Testing

Why It Matters

For developers and product teams using PixQR, A/B Testing enables rapid iteration and optimization of QR code campaigns. It allows for non-disruptive experimentation, which is critical in environments where frequent changes are required or where physical QR code regeneration is costly or impractical.

From a security and operational perspective, A/B Testing ensures that campaign logic remains centralized and manageable. Instead of managing multiple QR codes with different destinations, a single code can be updated dynamically, reducing risk of misconfiguration or inconsistency in tracking data.

For end users, A/B Testing helps ensure that QR code campaigns are optimized for engagement and conversion, improving overall campaign success rates. For marketers, this feature enables data-driven decisions based on real-time scan data and performance metrics.

How It Works

In PixQR, A/B Testing is implemented through dynamic QR code configuration that allows multiple destinations or settings to be assigned to a single code. These configurations can be activated or deactivated based on rules or conditions, enabling real-time campaign adjustments.

• Each QR code can be configured with multiple destination URLs or campaign parameters.
• Rules or triggers can be set to determine which configuration is active at any given time.
• Analytics tracking can be applied to each variant to measure performance differences.
• Changes to configurations can be made via the PixQR dashboard or API without re-printing physical codes.
• Each variant maintains its own scan tracking and performance data for accurate analysis.

The underlying mechanism uses a combination of server-side logic and dynamic routing. When a QR code is scanned, the system evaluates the active configuration and redirects the user accordingly. This process is transparent to the user but allows for full control over campaign behavior.

Quick Reference

Basic Example

PixQR Example QR

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/glossary/qr-code-dynamic/dynamic-qr-codes-a-b-testing

This example demonstrates how to define two variants for a QR code using PixQR’s configuration interface.

{
  "variants": [
    {
      "id": "variant_a",
      "url": "https://example.com/landing-a",
      "weight": 50
    },
    {
      "id": "variant_b",
      "url": "https://example.com/landing-b",
      "weight": 50
    }
  ]
}

This configuration assigns equal probability (50%) to each variant. When scanned, the system randomly selects one of the two destinations based on the assigned weights.

Production Example

This example shows a more robust implementation that includes validation, error handling, and configuration via API.

{
  "code_id": "qr-12345",
  "variants": [
    {
      "id": "variant_1",
      "url": "https://example.com/promo-summer",
      "weight": 70,
      "active": true,
      "name": "Summer Sale"
    },
    {
      "id": "variant_2",
      "url": "https://example.com/promo-winter",
      "weight": 30,
      "active": false,
      "name": "Winter Sale"
    }
  ],
  "rules": {
    "time_based": {
      "start": "2025-06-01T00:00:00Z",
      "end": "2025-08-31T23:59:59Z"
    }
  }
}

This version includes active status flags, time-based rules, and named variants for better maintainability. It also separates logic for better clarity and scalability in production environments.

Common Mistakes

• Not setting weights correctly, leading to uneven distribution of traffic across variants.
• Forgetting to activate a variant, resulting in no traffic being routed to it.
• Using identical URLs for multiple variants, which defeats the purpose of A/B testing.
• Not tracking analytics per variant, making it impossible to measure performance differences.
• Applying time-based rules without proper validation, causing unexpected behavior during campaign execution.

Security And Production Notes

• Ensure that only authorized users or systems can modify variant configurations to prevent unauthorized campaign changes.
• Validate all URLs in variants to avoid redirecting to malicious or untrusted domains.
• Use HTTPS for all variant URLs to maintain secure redirection and protect user data.
• Implement logging for all variant changes to maintain auditability and traceability.
• Test variant behavior in staging environments before deploying to production to avoid unexpected redirections.

Related Concepts

A/B Testing in QR code campaigns is closely related to dynamic redirects, campaign analytics, URL routing, campaign management, and real-time optimization. These concepts work together to enable flexible and responsive QR code strategies that can adapt to changing business needs.

Dynamic redirects allow for real-time URL changes, which are essential for A/B Testing. Campaign analytics provide the data needed to evaluate variant performance. URL routing ensures that the correct variant is selected based on defined rules. Campaign management systems help organize and deploy these configurations. Real-time optimization allows for continuous improvement based on scan data and user behavior.

Further Reading

• MDN Web Docs
• WHATWG HTML Standard