What conversion rate tells you
Conversion rate is the share of scanners who complete the action you asked for, such as buying, booking, signing up, or leaving a review. It measures what happens after the scan, which is where most campaigns are won or lost.A high scan count with a low conversion rate usually means the promise and the page disagree.
How to compute conversion rate
Conversion rate = conversions divided by scans, multiplied by 100.Illustrative example numbers, not real-world data: 60 purchases from 400 scans gives 60 / 400 x 100 = 15%. If the landing page loses half its visitors before checkout, fixing the page can matter more than getting more scans.
How to collect the data
Define one primary conversion per code, track it with a unique destination or UTM tag, and count only completions that came through that code in the same period.Keep the raw counts, not just the final percentage. Raw counts let you recompute the metric if you later fix the definition, and they make it possible to spot a denominator problem, such as a week where exposures were estimated instead of counted. Store the counts in one place with the date range, the placements included, and the name of the person who pulled them. That small discipline turns a spreadsheet into an audit trail.
Reading the result
Never judge conversion rate as a single number. Break it down by placement, device type, offer, and landing page version. A campaign that looks average overall may be strong in one segment and weak in another, and the fix is completely different in each case. Compare the same placement against its own past, and compare different placements only when their audiences and contexts are genuinely similar. A short trend over four or more comparable periods is worth far more than a single snapshot, because it separates a real shift from weekly noise.Also check the relationship between conversion rate and the metrics around it. If scans rise while conversions fall, the new scanners may be less interested visitors, or the landing page may have changed. If cost rises while conversion rate stays flat, you are paying more for the same outcome. Metrics make sense in groups, not in isolation, and the habit of reading two or three together prevents most misreadings.