Retail brands spend millions annually researching shopper preferences. But the data is already there: Over the last 16 months, 8.85 million consumers picked up a product and scanned the QR Code on the tag.
8.85M scans over 16 months—each an active, intentional consumer choice
That number captures active behavior, not passive exposure. Every scan is a shopper saying they want to learn more about your product. This data tells you which products to double down on and what to invest in next.
Below, we’ve analyzed the scan data by vertical, timing, and geography, finding that no two categories behave the same.
Note: The brands and examples discussed below were found during our online research for this article.
Key takeaways
- QR scans on product tags represent intentional shopper behavior that you can measure and act on.
- Specialty retail leads total scan volume, while food and staples delivers the highest scans per account.
- Scan patterns by month can reveal when packaging becomes your highest-traffic digital channel, especially during holiday spikes.
- Scans per account can highlight markets where QR experiences are more efficient, with mobile-first regions outperforming North America.
- Fast growth in general retailing suggests early adopters are widening their advantage, so delaying adoption increases competitive risk.
Product tags as your always-on consumer research lab
Traditional research methods, including surveys and focus groups, are slow by design. QR Codes for in-store marketing capture immediate feedback the moment a shopper interacts with a product. When someone scans a garment care label or a food safety page, they’re revealing exactly what they need to know before a purchase.
What they choose to open next reveals their real-time intent. Aggregated across thousands of interactions, these behavior signals create a live research panel that runs itself. This gives brands a proprietary feedback loop many competitors aren’t savvy to.
When you analyze the signals:
- Volume shows which content earns attention.
- Timing reveals when curiosity peaks.
- Location tells you where experiences land.
A specialty retailer notices garment care scans outpacing other destinations three to one. That next week, they can swap the social follow prompt on the tag for a care guide link. A food brand seeing ingredient spikes every November can schedule a destination refresh for late October before peak traffic hits.
Content signals you can use to reallocate budget
If garment care scans outpace social follow clicks, your shoppers are telling you they care more about longevity than joining a brand community. When you see the pattern in real time, you can start directing your budget where you’ll get the most value.
Look at your top-performing destinations, see what they have that low-traffic paths don’t, and lean into what shoppers are asking for. Volume isn’t nearly as important as recognizing the pattern. Once you identify the content that’s removing friction at the point of sale, you’ll know where to double down.
What to measure so scans turn into strategy
Raw scan totals are a starting point, not a full strategy. Scans per account is the more useful lens. It measures true engagement efficiency, so a massive rollout doesn’t automatically outshine a smaller, more active one.
To connect offline behavior to downstream outcomes, you can layer in multi-touch attribution insights from QR Code scans. Alongside time and location data, scans answer three questions that help you plan your next move:
- Vertical benchmarks: What content is resonating in your category?
- Seasonal spikes: When does consumer curiosity peak?
- Geographic efficiency: Where are QR-linked experiences performing above average?
Rather than just watching the numbers climb, you’re using that data as a blueprint for what to create next. This approach lets you track engagement and map out next quarter’s strategy in one move.
Three retail verticals, three distinct scan behaviors
Specialty retail, shoppers scan for care, composition, and community
Volume: 4.04M scans
Share: 45.7%
YoY growth: +7.2%
Accounts: 12,106
Specialty retail leads the way in scan volume, but the real value is in why people are scanning. Whether it’s an interactive catalog, a materials list, or a social link, every scan shows a specific motivation:
- Someone scanning a catalog of add-ons wants to get more value from their product.
- Someone checking composition is usually looking for sustainability or materials transparency.
- A social follow is a bid for community.
When you look at these patterns together, you get a ranked list of what your audience cares about. Brands that treat patterns as preference behavior can start building content around actual shopper evidence.
What to do next:
- Map your top scan destinations to specific shopper motivations. If care content leads, your audience values longevity. Invest there before allocating budget to social amplification.
- If composition scans are climbing, your packaging has become a sustainability touchpoint. That’s an opportunity to deepen the story, not just add a certification badge.
- Compare scan intent patterns quarter over quarter. Shifts in what shoppers request are an early signal that audience priorities are changing, often before any other channel reflects it.
Food and staples, high-intent scanning at scale
Volume: 3.61M scans
YoY growth: -23.4%
Accounts: 2,723
Food and staples is the standout vertical for efficiency. Despite a smaller footprint of accounts, this category generates a level of engagement that outpaces every other segment.
When shoppers scan QR Codes in grocery stores or on packaging, whether for ingredients, safety info, or a promo, they’re in active decision mode, using the packaging as a primary tool to justify their purchase.
In December 2025, scans surged to 610,000 in a single month—more than triple the monthly average. Without visibility into a spike like that, a brand would never realize their packaging was their most-trafficked digital property during the highest-stakes retail window of the year.
The takeaway: Treat your tag destinations like an owned media channel. Give them planned content cycles and seasonal refreshes, because for food and staples brands, your packaging is already acting as your most influential storefront.
What to do next:
- Build a content refresh calendar tied to your scan trendlines, not your brand calendar. If December consistently drives volume spikes, destinations need to be updated in November, not after the peak passes.
- Prioritize ingredients, safety, and promotional content in that order. The sequence reflects actual shopper urgency.
- Set a scans-per-account baseline now. It gives you a benchmark to measure against as you add accounts and refine destinations over time.
General retailing, growth signals a widening advantage
Volume: 1.19M scans
YoY growth: +28.2%
Accounts: 3,510
General retailing is the smallest segment by volume, but it’s also the fastest-growing. For brands still on the fence, the trajectory is more important than the current footprint.
The early movers in this space are banking shopper intent data that late adopters will eventually have to pay to replicate. These forward-thinking brands are putting that knowledge to work, iterating on content, refining their destinations, and learning what their customers ask for in real time.
They’re also deploying across high-intent touchpoints, like QR Codes for product registration, creating a fuller picture of the post-purchase journey alongside pre-purchase behavior. That lead widens every quarter, not because the tech is proprietary, but because you can’t shortcut a cumulative learning curve.
What to do next:
- Treat the +28.2% growth rate as a competitive timing signal. The proof is already in the trajectory. The question is how far ahead you want to be when it becomes standard practice.
- Launch with a learning-focused mindset. Your first deployment should generate hypotheses, not just traffic. Build in a structured 90-day review.
- Track scan intent from day one. Knowing what content drove early engagement is the foundation of your optimization strategy.
When and where scans spike, timing, and geography that change your plan
Monthly averages can obscure some of your more useful metrics. For example, focusing on when scan behavior concentrates and where efficiency is highest might change how you divvy up content resources and plan market rollouts.
Timing strategy you can build from the December surge
December 2025 produced 610,000 scans against a monthly average of roughly 200,000. For food brands especially, that concentration makes packaging the highest-traffic digital channel during what NRF identifies as the most concentrated and most competitive consumer spending period of the year.
Spotting a spike after it’s over gives you little to work with; you have to be ready for it. Looking at your month-over-month trends now, you can identify exactly when those peaks hit and prep your content well in advance. You’re making decisions based on the evidence your customers have already given you.
{Visual note Please include a timeline chart that labels “Average month ~200K scans” and “December 2025 610K scans” to make tripling clear}
Regional strategy using engagement efficiency
The data shows a massive divide in engagement: APAC generates 1,145 scans per account, while North America produces 375. This reflects the mobile-first consumer behavior documented across APAC, and it has implications for rollout prioritization. For brands eyeing international expansion, these efficiency markers are more useful than total market size.
When you enter a region with elevated per-account performance, versus one where a significant audience segment may be unsure why or how to scan a QR Code, you get faster learning cycles and much clearer signals. It’s easier to build an internal case for more investment when the data proves the audience is already there and active.
We see similar patterns in LATAM. Entering these markets means you’re meeting a receptive audience that already understands the behavior.
{Visual note: Comparison table showing APAC vs. North America scans per account, with LATAM added if available}
Proof-of-concept markets to help you sell it internally
Collectively, the U.S. and Germany account for over 4.6 million scans—more than half the global total. If you’re navigating the internal approval process, that concentration is your best argument. This is mainstream behavior in two of the world’s most established retail economies.
Use these markets as your benchmarks. The existing density proves the behavior is already there, which means a much lower barrier to entry. Starting where the audience is already active is the fastest way to see meaningful results from a first deployment.
Turn QR Code scans on product tags into a Bitly advantage
Across 8.85 million scans, the pattern holds: Behavior shifts by category, peaks with the seasons, and varies by region. Brands that pay attention to all three signals can move much faster, making budget and content calls in real time, instead of waiting months for a traditional research study.
With general retail growing at 28.2%, adoption is accelerating. This creates a widening gap for early movers, because they’re building a library of shopper intelligence that latecomers won’t have.
Bitly gives you the infrastructure to capture these signals and use them. Whether you’re tracking what content earns the most attention or deciding which international market to focus on next, you’re turning your packaging into a source of strategic intelligence.
See how Bitly’s QR Code and analytics platform can turn your product tags into strategic intelligence. Explore pricing and features designed for retail marketers.
FAQs
How do product tag QR code scans help you understand shopper intent?
Each scan is a deliberate action that shows a shopper wants more than what is printed on the tag. When you look at which destinations get scanned most, you can infer what questions shoppers are trying to answer in the moment. Over time, patterns help you prioritize the content that reduces uncertainty and builds confidence. This turns packaging from a static label into a measurable learning channel.
What is engagement efficiency, and why does scans per account matter?
Engagement efficiency is a way to compare performance across markets or programs of different sizes by looking at scans per account instead of only total scans. It helps you spot where QR-driven experiences are resonating more strongly, even if the region has fewer total deployments. This is useful for rollout planning because it highlights where you might get higher returns faster. It also helps set expectations for teams operating in lower-efficiency regions.
Why should you segment your strategy by retail vertical?
Scan behavior is not uniform across retail categories, and the content shoppers seek varies by what they are buying. Segmenting by vertical helps you choose the right destinations and interpret results correctly. It also keeps your program from becoming a generic “scan for more” experience that does not match real shopper needs. The result is a clearer roadmap for content, measurement, and optimization.
How can seasonal spikes change your product tag plan?
Seasonal spikes show you when shopper curiosity surges, which is often when your packaging becomes an unexpectedly powerful digital entry point. If you know when peaks happen, you can refresh linked content ahead of time and allocate resources to support higher engagement. This can influence everything from promotional calendars to support content priorities. The key is treating timing trends as planning inputs, not just reporting artifacts.
What does early adoption change for general retailers?
When adoption in a segment is growing quickly, early movers start learning faster than late adopters. They gather more data, run more iterations, and compound their insight advantage over time. This can widen the gap in customer understanding and experience quality, even if competitors can copy the tactic later. Acting sooner helps you build your feedback loop before it becomes table stakes.
