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Guides to in-store product analytics and smart screens

Plain guides for merchandising, marketing, store and legal teams: what to measure on the shop floor, how to read it, and how to choose and test.

A store manager's hands holding a tablet with a product analytics chart, beside shelves of folded knitwear

All guides

What is store analytics?

Five data sources, the question each answers and where to start.

Read the guide

How to choose a people counter

Infrared, thermal, 3D and AI camera; testing accuracy and what to ask.

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Do you need an AI camera?

Why a standard IP camera or USB webcam, placed well, is enough.

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Computer vision in retail

Seven ways stores use cameras, what each measures and where it falls short.

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Edge AI in retail

Why images should be analysed in the store: privacy, speed, offline.

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The in-store conversion funnel

Product metrics between footfall and sales, with formulas and an example.

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What is lift and learn?

The four ways to detect a pickup, their trade-offs and what each lets you measure.

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Put-back rate

How the share of pickups that go back is calculated and read.

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Hold time

How long a product stays in hand, and what that tells you.

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Never-touched products

Finding the products nobody reaches for, and what to try first.

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Products compared together

The pairs shoppers weigh against each other, and where to use them.

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A/B testing in a store

Testing a placement or a fixture with before-and-after data.

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Lift-and-learn screen content

What to show on the screen while the product is in hand.

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Shoe wall layout

Planning and testing a shoe wall with pickup data.

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Campaign measurement

Black Friday and sale periods measured on the shop floor.

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Privacy checklist

Ten questions to ask any camera-analytics vendor.

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Buyer's checklist

Four kinds of in-store analytics and how to choose.

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Cameras vs sensors

Lift and learn with cameras compared with sensors or tags.

Read the comparison

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