You print a QR code for a product that ships for years. The code keeps working. The scan data does not. On a lot of platforms, the history quietly rolls off after a month, and by the time you want to compare this quarter to last year, the last year is gone. The code outlived its own analytics.
Why do QR code analytics disappear after 30 days?
They disappear because many providers cap analytics retention on their lower-priced tiers, and 30 days is the common cap. Bitly’s Core plan, for example, retains click and scan history for 30 days (Bitly plan documentation, reviewed July 2026). Uniqode ties retention to plan level too — roughly 30 days on its entry tiers, rising to 90 and 180 days higher up (Uniqode plan comparisons, reviewed July 2026). Storing and indexing scan events costs money every month the data lives, so a short retention window is a straightforward way to lower the cost of a cheap plan. The code you printed is permanent; the data policy behind it is a billing decision.
What do you lose when scan history rolls off?
You lose every comparison that spans longer than the retention window, which is most of the comparisons that matter. Thirty days is shorter than a season, a product cycle, or a print campaign’s real lifespan. Specifically, a 30-day window makes these impossible:
| Analysis | Time span needed | Survives a 30-day window? |
|---|---|---|
| Week-over-week trend | ~14 days | Yes |
| Month-over-month | ~60 days | No |
| Seasonal comparison | ~120 days | No |
| Year-over-year | ~400 days | No |
| Full campaign lifetime | Varies, often 1yr+ | No |
A printed code on packaging can sit in the field for years. If its analytics reset every 30 days, you can never answer “did scans grow versus last holiday season” — the only version of that question worth asking.
Is it the raw data or the reports that get deleted?
It is usually the queryable history that gets deleted, and once it is gone you cannot rebuild the report. Some platforms keep a rolling aggregate but drop the event-level detail that lets you segment by day, location, or device beyond the window. Either way, the practical effect is the same: ask for a breakdown older than the retention period and it is not there. There is no undo, because the events themselves were expired, not just hidden.
How do you stop QR analytics from expiring?
You stop it by choosing a provider whose retention does not expire, or by exporting your data before the window closes. Two approaches work:
- Pick a plan that keeps analytics indefinitely. redireo keeps scan analytics for the life of the code on every paid plan — there is no rolling deletion window, so a code printed today is still comparable to itself two years from now.
- If you are on a provider with a short window, export scan data on a schedule — before each 30-day boundary — and store it yourself. This works but shifts the warehousing burden onto you, and gaps happen the first time someone forgets.
The first approach removes the failure mode entirely. The second is a workaround that depends on a human remembering a deadline every month.
Does keeping analytics forever cost more?
It can, because retention is a real storage cost, so the honest question is who priced it in. A provider that keeps data forever has to pay for that storage, and that shows up somewhere in the price. redireo’s position is that non-expiring analytics come standard on paid plans rather than as an add-on or a top tier, because scan history that resets is not useful for the campaigns dynamic codes are actually used for. If a competitor offers cheaper plans with a 30-day cap, that is a legitimate trade — just make sure the cap is not a surprise you discover the day you need last year’s numbers.
What should you check before printing a long-lived code?
Check the retention window before you print, because it is nearly impossible to fix afterward. Ask the provider three questions: how long is scan history kept on your specific plan, does it reset or roll off, and can you export the raw events. If the answers are “30 days, rolling, aggregate only,” and you are printing something that will live in the field for a year, you already know the analytics will not survive the campaign. Match the retention policy to how long the code will actually be scanned, not to how long you plan to look at the dashboard this week.
Analytics that expire turn a multi-year asset into a 30-day one. The code keeps earning scans long after the data that would explain them is gone. If the point of a dynamic code is to learn from it over time, the retention window is not a footnote — it is the feature.