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Face Recognition with in-Store Analytics

Within every footstep is an opportunity to grow your in-store strategy
Click-throughs, bounce rates, segmentation and conversion funnels are common and essential metrics for any online store. Brands which do not employ these to enhance the experience will miss out on targeted content, display optimization and personalized recommendations which account for over 20% of an online-store’s revenue.
When it comes to bricks and mortar these tools are sorely missing. Sessions, cookies and preferences just don’t exist in the real world. Until now.
True traffic measurement: Learn from consumer behavior to improve conversion rates and transaction size. Measure the entire-funnel from walk-by through to completing a sale. Automatically exclude store staff from traffic counting and other KPI metrics. Compare your performance against your industry on a local, regional or national level.
Measure & Optimize for growth: Ensure product placement and displays drive exposure and engagement. Validate store layout and campaigns. Test and measure new concepts such as product placement, store design and layout.
Optimize staff: Identify traffic cycles across the day, week, or year. Align staff and customer-to-staff ratio to traffic power hours by integrating workforce management with traffic counting data
Engage in real time: Through the mobile app, view real-time data and video on the go. Get real time alerts if a VIP enters your store.
Personalization: Display recommendations based on previous activity and preferences, as part of your omni-channel marketing strategy.

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Face Recognition with in-Store Analytics
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Face Recognition with in-Store Analytics

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