Practical Application & Deep-Dive of QR on Merchandising

Learn what metrics to track with dynamic QR codes

Sarah Corrigan

Last Update 9 months ago

Practical Application & Deep-Dive of QR on Merchandising


In our previous article, we established that dynamic QR codes are a vital source of data. Now, we’ll take a deep dive into the practical application of this technology, focusing on the specific metrics you should track and how to use them to gain a deeper understanding of your audience.

The true value of a dynamic QR code lies in its ability to provide a granular view of user engagement. When a user scans the code, a wealth of information becomes available. The most basic metric is the total number of scans, which gives you a clear measure of your campaign’s reach and effectiveness. However, the real insight comes from the more detailed data. You should be tracking the time of day and day of the week to understand when your audience is most active. Are your lunchtime flyers getting more attention? Are people more likely to engage with your product on a weekend? This data helps you optimise future campaigns for better timing and placement.

Practical Application & Deep-Dive of QR on Merchandising

Furthermore, you should be tracking the location of the scan. This information is invaluable for geolocating your audience. If you’ve placed QR codes in multiple locations, you can see which areas are generating the most interest. A retail chain, for example, could see that a promotional code on a poster in London is being scanned more frequently than one in Manchester, which would inform their future advertising budget allocation. It’s also important to track the device type (iOS vs. Android) to ensure your landing pages are optimised for the most common devices. Finally, tracking unique vs. repeat scans provides insight into customer loyalty and engagement. Are people just scanning once, or are they repeatedly returning to the content?


By leveraging this data, you can move from a simple campaign to a powerful, data-driven strategy. The insights you gather will allow you to segment your audience, personalise future content, and ultimately, get a much clearer picture of who your customers are and what they respond to. This deep dive into practical application lays the groundwork for our next article, where we'll explore a real-world case study to see these principles in action.

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