Retail WiFi Analytics >
Use retail WiFi analytics to unlock potential opportunities by understanding how people behave online and in store.
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Online retailers depend on data and insights to understand new and existing customers, and target them with products and offers. Measuring the effectiveness of their campaigns through web visits, click-throughs and transactions.
But bricks-and-mortar retailers can also make the most of data to build customer profiles and increase conversions. Knowing someone’s route to purchase, and building analytics before they walk through the door, means you can target valuable segments with appropriate products, price points and POS displays that generate engagement.
Our powerful analytics will shape your store strategy, enabling you to understand the entire journey, not just the final purchase. We highlight missed opportunities to convert browsers into buyers, help you reduce congestion and improve customer experiences by monitoring in-store interactions.
Use retail WiFi analytics to unlock potential opportunities by understanding how people behave online and in store.
Our facial profiling technology helps you find out how different customer groups respond to in-store initiatives and what you can do to target the most valuable ones.
Track how long shoppers spend in different zones and measure conversion rates to identify under-performing areas of the store.
Measure dwell time alongside footfall to see where a customer is located and for how long. Knowing how people navigate the store means you can make informed decisions on merchandising, promotions, staff deployment and layout.
Track the path to purchase using our evidence-driven heat maps and journey flow analysis. Key to operational effectiveness, you can check products and POS displays are in the correct place, identify choke points and replenish stock at the right time.
Monitor how well customers engage with product displays, based on dwell time and footfall in different areas of the store. After being verified and validated by our team of experts, the data is transferred to store managers who can make improvements to under-performing displays.