What benchmarks can and cannot do
Print versus digital ROI compares the return of QR codes on printed materials against QR codes shown on screens, such as websites, emails, and digital signage. The two channels behave differently, so comparing them fairly takes care.Benchmarks for print versus digital ROI are tempting because they promise a shortcut: one number that tells you whether you are doing well. In practice, a benchmark is only as useful as its definition, and definitions vary widely. One source may count every scan, another may count only unique scanners, and a third may measure a different placement type entirely. Two benchmarks that disagree are not a puzzle to solve; they are a signal that the underlying measurements differ. Treat any benchmark as a rough reference, never as a verdict.
Why benchmarks for print versus digital ROI vary
Benchmarks vary for reasons that have nothing to do with quality. Placement changes everything: a code at a checkout behaves differently from a code on a poster. Audience matters too: existing customers scan for different reasons than strangers do. Offer strength, season, device mix, and time of day all shift the number. Even the definition shifts it: changing the denominator or the time window changes the result without changing the campaign at all. Print and digital often assist each other. A person may see print first and convert through digital later, so treat the split as guidance, not gospel.This variation is why copying a published benchmark as a target is risky. You may be comparing your menu code against someone else's checkout code, or your first month against their twelfth. The gap you see may be a measurement gap, not a performance gap, and chasing it can lead you to fix things that were never broken.
How to build your own baseline
Your own baseline is the benchmark that matters most, because it shares your definition, your placements, and your audience. Build it in four steps. First, write down the definition: ROI for each channel = channel revenue minus channel cost, divided by channel cost, multiplied by 100. Compare the two results side by side using the same date range and the same definition of revenue. Second, measure it for a fixed period on a stable placement and record the raw counts, the date range, and the method. Third, repeat the measurement for two or three more comparable periods. Fourth, use the range you observed as your baseline, not a single point, because a range respects normal variation.Illustrative example numbers, not real-world data: print returns 1,800 currency units on a 1,000 cost, giving (1,800 - 1,000) / 1,000 x 100 = 80% ROI. Digital returns 2,200 on a 1,000 cost, giving 120% ROI in this example. Digital wins here, but print may still be worth keeping for reach.
Once the baseline exists, judge new results against it. A result inside the baseline range is normal variation. A result outside the range for two consecutive periods is a signal worth investigating. This approach is slower than copying a published number, but it is honest, and it improves as your own history grows.