Category analytics
Sales tell you what sold. Shoppermotion shows how many shoppers reached each category, stopped, engaged and bought, so you know where to act.
In short
Category analytics measures how shoppers behave in each category: traffic, visual contact, engagement and conversion, matched to receipts. Shoppermotion gets it from Bluetooth tags on trolleys and baskets, with no cameras, and benchmarks every category across stores.
What you can do
What sales can't show
A category can under-sell because shoppers never reach it, pass without looking, or look and leave. Sales alone can't tell these apart.
Category Pulse
See which categories to protect, which to fix and where traffic leaks before the till, then drill into the funnel of any one.
Category benchmarks
Benchmark every category against similar stores by region, format or type, and against itself over time.
Mapping and adjacencies
See which categories shoppers visit together and in what order, to plan adjacencies and secondary placements.
Test before rollout
Compare a new layout or planogram with control stores over the same weeks, on behaviour and sales, before changing the chain.
Promotions, displays and media
Measure end caps, displays and screens by the traffic they pull into the category and, with ticket matching, the sales they add.
Who uses it
Decide space, layout and assortment per category with behaviour from every tagged trip, store by store.
See how your category performs in store and bring evidence to category reviews and joint business plans.
Your stack
Tool types, not vendors. Shoppermotion adds the in-store behaviour layer.
| Tool type | Answers | Does not show |
|---|---|---|
| Sales and loyalty data | What sold and to whom | Why a category under-sells in store |
| Space planning and planograms | How the shelf should look | Whether shoppers reached and engaged with it |
| Shelf image recognition | What is on the shelf | Who came to it and bought |
| Surveys and shopper panels | What shoppers say | Measured, continuous behaviour |
| Shoppermotion | Traffic, visual contact, engagement and conversion per category | Shelf conditions: no cameras |
Data and integrations
Category dashboards in Shoppermotion AI, periodic reports and a REST API for Power BI or Tableau. Receipt matching is part of the Insights plan.
Related metrics
FAQ
The analysis of how each product category performs. With in-store data it covers not only sales but how many shoppers reached the category, looked, engaged and bought.
Category management is the process of running categories as business units. Category analytics is the data behind those decisions; in-store behaviour adds what sales data cannot show.
Traffic and penetration, dwell time, visual contact, engagement, conversion and missed opportunities, per category, bay and store.
Each tagged trip is matched with its own receipt at the till, so conversion is measured, not estimated. Ticket matching is part of the Insights plan.
A dashboard that places every category on a traffic × conversion matrix, to see which ones to protect, which to fix and where shoppers leave without buying.
Yes. Category benchmarks compare each category with similar stores by region, format or type, and with its own history.
Both. Retailers use it for space, layout and assortment decisions; CPG brands use it to understand their category in store and to support category reviews.
No. Shoppermotion tracks shopping tools, not people, so every trip is anonymous by design. Data is encrypted and processed in line with GDPR.
Our operations team has reduced deployment and onboarding to a few hours. We only need your anchor positions and layouts to start, and location data is transmitted over standard TLS encryption.
Book a meeting with our retail analysts and see real trips, real tickets and real conversion.
