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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 behaviour 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 behaviour 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 behaviour, 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: https://www.footfallcam.com/Content/d...