How to use A/B testing to increase QR code scan rates

First, you need to create a QR code using a reliable QR code generator, then place it on suitable media or online — for most users, this is what a standard workflow looks like. However, there is an additional and highly important step between these actions. This involves QR code testing, which helps you understand how appealing your code’s design and content are to your target audience.

Instead of relying on subjective opinions or guesses, you gain data-driven insights into user behavior. This is especially valuable for small and medium-sized businesses, marketing agencies, and retailers, where every scan directly impacts engagement and sales performance.

How to test a QR code? Use a comparative analysis method, focusing on key variables that influence QR code scan rates and overall QR code conversion.

6 parameters for A/B testing QR codes

Note: each variable allows you to form testable hypotheses, and analyzing them together provides a complete picture. Therefore, the following parameters are essential when conducting a test:

1. QR code design and color

The appearance of a QR code directly influences a user’s willingness to scan it. Therefore, it is worth testing different color schemes, adding a brand logo, or using decorative frames to create a QR code with the most appropriate design. Split testing different designs will help you understand which elements build trust and drive engagement. Optimizing QR code color can significantly improve scan performance.

2. QR code location and size

In this case, you can compare QR codes across different printed materials, such as business cards and large posters, or test their placement on the left and right edge of packaging. It is also important to evaluate how noticeable they are in real-world environments. A/B testing helps you determine the optimal QR code size and QR code location, taking into account actual usage conditions and campaign goals.

3. Call to Action (CTA)

The text next to a QR code significantly influences user behavior. Even small changes in wording and the addition of time restrictions ('only today', 'right now', etc.) can dramatically increase QR code scan rates. In an A/B test, you compare two CTA variations and analyze which one is more effective in encouraging users to take action.

4. Content type (file or link to QR code)

You can add an image, audio clip, PDF file, text, or URL to QR code content. Then, using A/B testing, you can determine what resonates most with your audience. For example, you can create two dynamic QR code variations for an advertising campaign for a new product: one linking to a product video and another offering a discount page. After comparing scan rates and conversions, you will clearly see which option drives higher engagement.

5. Placement context

QR codes perform differently depending on the channel in which they are used. Comparative analysis allows you to evaluate performance in offline environments (packaging, brochures, storefronts) and online platforms (social media, newsletters, websites). For example, a dynamic QR code on a poster is scanned more frequently when positioned at eye level, while a code on a landing page performs better when placed near visual content. As a result, A/B testing helps identify the most effective environments and contexts for your audience.

6. Seasonality and user activity

User behavior is often influenced by seasonal trends, which is why QR codes should be tested across different times of day and during significant events like festive promotions or new product releases. Tests often show that a QR code on seasonal packaging performs best at the beginning of a campaign, while in email marketing it may achieve peak scan rates in the morning. Understanding these patterns helps improve QR code optimization strategies.

Comparative analysis makes it possible to determine which version of a QR code performs best in a specific situation. Moreover, even small adjustments in design, placement, or content can significantly impact QR code scan rates and audience engagement. This means that applying QR code A/B testing strategies can effectively boost conversions and sales.