- Home
- Put-back rate correction
Our dashboard said 69% of the shoes were put back. Every one of them was.
On GoTrack's test shoe table every shoe that was picked up went back to its place, yet the dashboard showed a put-back rate of 69%. We traced the gap to four counting errors, fixed them, corrected the old records and measured again.
The short answer
The put-back rate was low because pickups were over-counted and some put-backs were never written down, not because shoes went missing. In the week to 8 October 2026 the dashboard counted 321 pickups and 222 put-backs: 69%. After the fix and the correction of the records, the same week reads 297 pickups, all 297 put back. In the three days that followed, with nothing corrected by hand, 100 of 100 recorded pickups were also recorded as put back.
1–10 October 2026, GoTrack's test shoe table. Method below.
The same week, counted twice
- Before the fix: 222 of 32169%
- After the fix and correction: 297 of 297100%
- The next three days, uncorrected: 100 of 100100%
Where the 99 missing put-backs went
- A quick touch was recorded, but its end was not26
- A shoe still in hand was counted again as a new pickup23
- The store device restarted while a shoe was lifted22
- A shoe went back to a new spot and two cameras disagreed22
- Other6
What we changed
- One lift is one pickup. A shoe that is still in hand extends the same pickup; it never starts a new one.
- Every way a pickup can end writes a put-back, including a quick touch, a shoe put back in a new spot, and a camera that clearly sees it back on its own.
- Open pickups survive a restart. The store device remembers which shoes were out and closes each one when it returns.
- The old records were corrected, not hidden. 26 duplicates were removed, 78 records were marked as put back with a note of when and why, and hold times were restored where the log had them.
Why it matters
Put-back rate is how a buyer reads interest that did not convince: a product picked up often and put back often is worth a closer look. A rate that is wrong in either direction sends that buyer to the wrong product, so we check our counting rules against what really happened on the table, not against what looks plausible on a chart.
A pickup that is not put back is not a sale. GoTrack sees whether a product came back to its place; whether it was bought is a question for the till.
Limits
- A test table, not a store. Our own team picked the shoes up, which is why every one came back. In a store some products leave for the fitting room or the till.
- Three days after the fix is a short run, and its 100 pickups include a few false ones: a neighbouring shoe briefly counted as lifted. That is a separate fix with its own live test, and it will get its own note.
- The split of the 99 is an estimate from the event log; the totals are counts.
Questions
What is a good put-back rate?
There is no universal benchmark: it depends on the category, the price and the store. The useful comparisons are a product against itself over time, and against similar products in the same store and zone. GoTrack reports the rate per product, colour, zone and store so those comparisons are possible.
Which reports does GoTrack produce?
Pickups, hold time, put-backs, never-touched products and products compared together, per product, colour, zone, hour and store; store visits; and, with screens, which content goes with longer holds. Every report can be filtered by store and exported as CSV or PDF.
Does it work on a shoe wall and on a display table?
Yes, both. A camera that sees the wall or the table clearly is enough to measure which models are lifted, how long they are inspected and which go back.
Want numbers you can check?
We will show you GoTrack's reports on products like yours.
or write to info@gotonom.com