The Problem:
Footfall data answers how many entered.
It does not tell us what happened inside — the missing link between entry and purchase.
Without visibility on shopper engagement, staff interaction, and path-to-purchase, retailers are left making decisions with incomplete information.
The Breakthrough:
With our new generation of technology – Centroid, Pro2, and Pro1 – we provide a complete data foundation at a fraction of the historical cost:
- Identify and segment shoppers by demographics, engagement level, and buying behavior
- Track journey paths across the store
- Measure staff interaction and service levels without disrupting operations
- Enable AI-driven simulation and forecasting, using real in-store behavior data
The Business Case:
- Affordable: Deploy a full in-store analytics system for under $1,000 per store
- Scalable: Start with one location, rapidly extend across the network
- Actionable Insights: Understand where to optimise layouts, staffing, and merchandising strategies based on shopper behavior, not guesswork
- Future-Proof: Build your own proprietary AI models to predict shopper flows, engagement hotspots, and potential revenue uplift
Why Act Now:
Market adoption is accelerating. Technology, accuracy, and price points have aligned — and first movers will have the strategic advantage of owning richer, higher-quality datasets to power their digital transformation.
Click here to access the webinar slides: In-Store Analytics for Retail Stores
#footfallcam #peoplecounter #peoplecounting #dataanalytics #retail #smartretail #customerjourney #Centroid #Pro1 #Pro2
