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    1. Home
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    3. Paid Attention: View Direction in Retail
    A woman, shopping in a supermarket, reaches for an item on a well-stocked shelf, showcasing consumer behavior.
    Use cases, Retail

    Paid Attention: View Direction in Retail

    Retailers can boost revenue by measuring in-store attention
    Download Use Case

    Challenge

    Knowing how customers respond to changes in product placement and onsite marketing is crucial for unlocking the value of the physical retail space. Retailers constantly adjust product and promotional layouts in pursuit of optimal positioning for catching customers’ attention and improving conversion rates, but basing adjustments on point-of-sale data or on manual observation leaves too much room for uncertainty and costly guessing. 

    To adequately measure the effectiveness of in-store testing and advertising, retailers need: 

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      Accurate, real-time data about customers' movements 

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      Precise measurements of consumers' visual engagement with products  

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      Automated data capture capabilities 

    • A modern shopping mall with large signage and a spacious outdoor plaza.

      Foot Traffic in Shopping Malls: Identifying Hot Spots

      A sensor-based solution from Xovis and IMAS, accurately tracking foot traffic, is used by over 50 German malls to better understand consumer behavior.
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    Solution

    A growing number of global retailers use behavioral analytics to understand how customers interact with in-store spaces and staff. View direction measurement, which lets retailers know how long consumers interacted with a particular product or designated space, is part of that trend.   

    By utilizing objective view direction data, retailers can make informed decisions about staff allocation and test layout changes.  

    View direction data can help retailers by:  

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      Delivering KPIs that support fact-based decision-making  

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      Alerting floor managers of the need to reposition staff or product  

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      Determining whether conversion rates are product or site-specific  

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      Differentiating between engaged shoppers and passersby 

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      Validating the effectiveness of product promotions and positioning  

    Headshot with a professional setting, highlighting a cheerful smile.

    Xovis' 3D sensors offer brick-and-mortar stores a competitive edge by hastening the trial-and-error process for improved decisions and higher revenue.

    Olivier Delangre Co-founder & Chief Executive Officer, Amoobi

    Benefits

    Robust, highly-accurate data capture systems can provide retailers with cost-saving insights and actionable KPIs. A resilient in-store analytics protocol is an excellent way to:   

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      Manage operational costs by matching resource allocation to observable trends 

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      Improve A/B testing by accurately measuring before and after testing 

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      Expand profit by optimizing the position of higher-margin products  

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      Enhance effectiveness of dynamic and digital signage supporting marketing

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    Access a free Use Case PDF version now!

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    Additional retail use cases

    A dynamic retail complex features supermarkets, clothing stores, and transport hubs with bustling activity.
    • Frictionless Checkout

      Automation helps balance customer flow and prevent loss at self-service zones

    • Measure Customer Engagement

      Measuring customers’ in-store dwell times can boost sales of higher margin products

    • Improving Store Layout

      Accurate store traffic data helps retailers optimize layout and product placement

    • View Direction

      Retailers can boost revenue by measuring in-store attention

    • Customer Counting

      Optimal staff and layout depend on real-time customer engagement data

    • Optimizing Product Positioning / Assortment

      Retailers looking to support their category manager are turning to tech

    • Real-Time Waiting Analytics

      Retailers need a robust queue management system to eliminate friction points

    • Preventing Queue Formation

      Queuing up can become a costly friction point for brick-and-mortar retailers

    • Expanding Sales with Demographic Data

      Understanding gender-specific shopping trends helps retailers optimize resources.

    • Customer Centric Staff Allocation

      Retailers need a robust queue management system to eliminate friction points

    • Staff Exclusion and Sales Performance

      Real-time KPIs help retailers optimize performance across all locations

    • Use-Based Cleaning

      Smart Retail requires Smart Cleaning to enhance customer experience

    • Group Shopping Analytics

      Shopping habits change with company, aiding retailers in boosting sales

    • Window Shopping Analytics

      Tracking capture rates from window shoppers can boost store performance

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