ab testing qr codes
QR codes aren't a "set it and forget it" tool. Running structured tests on design, placement, and calls-to-action turns guesswork into data, so every scan tells you something useful about what actually works.
Key Takeaways
- Use dynamic QR codes, not static ones, so you can swap destinations and track scans without reprinting anything.
- Test one variable at a time, whether that's design, placement, size, or the offer behind the scan.
- Clear labeling matters: 84% of consumers are more likely to scan when the purpose is obvious, per Supercode's 2024 study.
- Track unique scans and post-scan conversion, not just total scan count, to understand real impact.
- Run tests long enough to gather a meaningful sample before declaring a winner.
A/B testing a QR code means creating two or more versions of a code, campaign, or landing experience and comparing how each performs against the other. One version might use a different color pattern, a different placement on a flyer, or a different call-to-action printed next to it. The goal is simple: figure out which variation gets more people to actually pull out their phone and scan.
This matters more than most marketers assume. , according to Supercode's 2024 research. That gap exists largely because dynamic codes support real testing, while static codes lock you into one design and one destination forever.
If you've been using the same QR code across every poster, menu, or business card without checking whether it's actually converting, this guide walks through how to build a proper test, what to measure, and how to avoid the mistakes that make test results meaningless.
How to set up an A/B test for your QR codes
Setting up a QR code test doesn't require expensive software. It requires a plan, a couple of dynamic codes, and a way to track what happens after someone scans. Here's the process broken into steps.
Step 1: Pick one variable to test
Decide what you're actually testing before you create anything. Common variables include the visual design of the code itself (colors, logo, frame), where it's physically placed (top vs. bottom of a flyer, near the register vs. on the door), the call-to-action text next to it ("Scan for menu" vs. "Scan to save 10%"), or the destination page it leads to. Testing more than one variable at once makes it impossible to know which change actually drove the difference in results, so narrow it down to a single factor per test.
Step 2: Create two dynamic QR codes
Head to a free QR code generator and build two versions of your code, each representing one side of the test. If you're not sure why dynamic codes are the right choice here, our static vs dynamic QR codes comparison breaks down the difference. Dynamic codes let you edit the destination URL later and give you scan analytics, both of which are non-negotiable for testing.
Step 3: Split your distribution evenly
If you're printing flyers, alternate versions A and B evenly across the print run or across locations, so one version isn't just getting more foot traffic by accident. If you're testing on a website or app, use even rotation so each variant gets roughly the same exposure. Uneven distribution is one of the most common reasons QR code tests produce misleading results.
Step 4: Track scans and post-scan actions
Raw scan counts only tell part of the story. According to Bitly's 2024 research, . Set up your landing pages so you can measure not just who scanned, but who took the next action, whether that's signing up, ordering, or watching a video.
Step 5: Let the test run before making changes
Give each variant enough time and enough scans to produce a reliable sample. A test that runs for two days with 30 total scans isn't going to tell you much. Depending on your traffic volume, that could mean running the test for a full week, a full event cycle, or an entire print run before comparing results.
Tips for getting reliable A/B test results
A few practical habits separate a useful test from a wasted one. Keep these in mind as you plan your next round.
Label each QR code clearly with its purpose. Vague codes get fewer scans, and confusing test messaging skews your data.
Keep everything else identical between versions. If you're testing placement, don't also change the color or the offer at the same time.
Use consistent print quality and sizing across both variants so scan difficulty isn't accidentally part of the test. Our QR code design tips guide covers sizing and contrast basics.
Segment your data by location or time of day if you're running the test across multiple sites, since foot traffic patterns can skew raw numbers.
Document your hypothesis before you start. Write down what you expect to happen and why, so you can compare it against the actual outcome.
Re-test periodically. A design that wins in December might not win in July, especially for seasonal promotions or event-based campaigns like those covered in our event QR codes guide.
Frequently Asked Questions
Do I need dynamic QR codes to run an A/B test?
Yes, effectively. Static QR codes bake the destination URL directly into the code, so you can't change where it points or see analytics after printing. Dynamic codes let you edit the destination and track scan data in real time, which is essential for comparing performance between variants.
How many scans do I need before trusting the results?
There's no universal number, but as a rule of thumb, aim for at least a few hundred scans per variant before drawing conclusions. Smaller sample sizes can be skewed by random variation, especially in early testing days.
What should I test first if I'm new to this?
Start with placement and call-to-action wording. These two variables tend to have the biggest impact on scan rate and are the easiest to test without touching your landing page or offer.
Can I A/B test QR codes on packaging or menus?
Yes. Print two versions of your packaging or menu with different QR code placements or messaging, then track which drives more scans and conversions. This works well for restaurant menus, retail packaging, and print flyers alike.
Should the destination page also be part of the test?
It can be, but treat it as a separate test from the QR code itself. Testing the code design and the landing page at the same time makes it hard to know which change influenced the result, so isolate variables where you can.
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