---
title: "In-store product analytics: pickups & hold time | GoTrack"
description: "Measure which products shoppers pick up, hold and put back, per product, colour and store. Anonymous, with no face recognition."
url: https://gotrackgo.com/en/retail-analytics
language: en
updated: 2026-11-08
publisher: GOTONOM Yazılım Teknolojileri A.Ş.
---

# In-store product analytics: see which products get picked up, held and put back

GoTrack turns what its cameras see at the shelf into a product-interest report — per product, per colour, per store — without recognising a single shopper.

**In-store product analytics** measures how shoppers interact with products before they buy. GoTrack records each time a product is picked up from the shelf, how long it is held and whether it is put back, and reports it per product and colour variant, shelf zone, hour and store.

## Questions it answers

- Which products attract hands — and which are **never touched**?
- Which products are picked up often but **put back** often too?
- Which **colour** of the same style draws the most interest?
- Which products do shoppers **compare** against each other?
- At what **hours** and in which **zones** does interest peak?
- Which **screen content** goes with longer holds?

## Reports included

| Report | What it shows |
|---|---|
| Product interaction | Pickups, held showings, average hold time and put-back rate per product |
| Most engaging products | Products ranked by interaction |
| Never-touched products | Products on the shelf with the least interaction |
| Compared together | Product pairs picked up one after the other |
| Zones and shelves | Interaction by shelf zone and shelf position |
| Hour by hour | Interaction across the day and the week |
| Store visits | Interactions close in time grouped as one visit. A visit is not an identity; no one is recognised. |
| Content performance | Plays per screen asset and the average hold time that goes with it |
| Engagement score & weekly digest | One weekly summary per store: what rose, what fell, what nobody touched |

Every report can be filtered by store and exported as CSV or PDF.

## Beyond the reports

### Which product, which age, which gender (Building now)

Which age ranges and genders pick up, hold and put back each product, as aggregate reports, never individual profiles. We are building it now; tell us if you want it in your pilot.

### Weekly digest

A week-over-week summary in the panel, and by email when your mail server is connected.

### Every store in one panel

Several stores and brands in one account, with team roles and a full activity log.

## What it does not measure

- **Visitor numbers, unless you ask.** Visitor counting is not in the standard reports; it is [set up on request](https://gotrackgo.com/en/visitor-counting).
- **Identity.** No face recognition and no recognising a returning shopper.
- **Sales.** No link to POS data, so no “picked up, then bought” rate.
- **Size.** A garment's size is not read from the image.

## Questions about the analytics

### 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.

### Can GoTrack tell the colours of the same model apart?

Yes. Reports are per product and colour. When two variants are so alike that a camera cannot separate them, GoTrack shows them as a pair instead of guessing between them.

### Can GoTrack tell marketing which products are examined, and for how long?

Yes. It reports pickups per product and variant, average hold time, put-back rate, products compared together and never-touched products. It measures how long a product is held, not how long someone stands in front of it.

### Can GoTrack show the age and gender of the shoppers who engage with a product?

We are building it now. Audience insights will show which age ranges and genders pick up, hold and put back each product, as aggregate reports, never as individual profiles. It is not yet running in stores, so GoTrack does not estimate age or gender today; tell us if you want it in your pilot.

## Further reading

- [What is put-back rate? How to read it](https://gotrackgo.com/en/what-is-put-back-rate): Put-back rate is the share of pickups that go back to the shelf. How it is calculated, how to read it by product and colour, and the mistakes to avoid.
- [What is hold time in a store? How to use it](https://gotrackgo.com/en/what-is-hold-time): Hold time is how long a product stays in a shopper's hand after a pickup. What it tells you, how to read it by product and colour, and its limits.
- [The in-store conversion funnel: product metrics](https://gotrackgo.com/en/in-store-conversion-funnel): Store conversion rate stops at the door. The product funnel: in view, picked up, held, compared, put back or not, then purchase from sales data.
- [Lab note: our put-back rate was wrong, and why](https://gotrackgo.com/en/put-back-rate-correction): Lab note, 8 Oct 2026: our dashboard showed 69% put back on a test shoe table where every shoe came back. Four counting errors, fixed and re-measured.

## Find out which products your shoppers really want.

We will walk you through the reports on products like yours.

[Request a demo](https://gotrackgo.com/en/demo) · or write to info@gotonom.com

---

GoTrack · by GOTONOM · https://gotrackgo.com/en/ · info@gotonom.com