Lab note: 434 shoe pickups, 433 reached the screen
Lab note, 10 Oct 2026: 11 days on a test shoe table. 433 of 434 pickups were sent to the screen, a median 9 ms after the decision; the one miss had no screen.
A shoe wall is a grid of decisions: which model goes at eye level, which colours sit together, what goes next to the bestseller. Pickup data shows how shoppers actually use it.

Measure each model's lifts, inspection time and put-backs by position on the wall, then move one thing at a time and compare. The wall shows what shoppers reach for; the numbers show whether a good model is losing out to a poor position.
| Signal | What to look for |
|---|---|
| Lifts by position | Rows or ends of the wall that draw hands whatever model stands there |
| Inspection time | Models turned over for longer: interest worth supporting with content or a better spot |
| Put-backs | Models lifted often and returned: check sizes, price and what they are compared with |
| Compared models | Models lifted one after the other: keep them close |
| Never-touched models | Models nobody lifts: try a better position before dropping them |
Lifts, inspection time and put-backs for every model, over a normal period.
For example, swap a model that is rarely lifted with one at eye level.
The same days of the week, with no campaign in between.
Did the moved model gain lifts, and did the one it replaced lose them?
Garments on racks and shelves, and shoe walls — products a shopper picks up to look at. A garment's size is not read from the image.
Yes, as a before-and-after comparison: move a product to a new shelf zone or fixture and compare its pickups, hold time and put-backs with the period before. GoTrack shows the change; it does not run statistical tests for you.
No. Adding a product is a guided step in the panel, and product details can be imported from a product page on your website.
We will show you what GoTrack measures on a wall like yours.
or write to info@gotonom.com