Paid Attention: View Direction in Retail
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:
Accurate, real-time data about customers' movements
Precise measurements of consumers' visual engagement with products
Automated data capture capabilities
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:
Delivering KPIs that support fact-based decision-making
Alerting floor managers of the need to reposition staff or product
Determining whether conversion rates are product or site-specific
Differentiating between engaged shoppers and passersby
Validating the effectiveness of product promotions and positioning

Xovis' 3D sensors offer brick-and-mortar stores a competitive edge by hastening the trial-and-error process for improved decisions and higher revenue.
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:
Manage operational costs by matching resource allocation to observable trends
Improve A/B testing by accurately measuring before and after testing
Expand profit by optimizing the position of higher-margin products
Enhance effectiveness of dynamic and digital signage supporting marketing
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Additional retail use cases
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Frictionless Checkout
Automation helps balance customer flow and prevent loss at self-service zones
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Measure Customer Engagement
Measuring customers’ in-store dwell times can boost sales of higher margin products
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Improving Store Layout
Accurate store traffic data helps retailers optimize layout and product placement
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View Direction
Retailers can boost revenue by measuring in-store attention
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Customer Counting
Optimal staff and layout depend on real-time customer engagement data
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Optimizing Product Positioning / Assortment
Retailers looking to support their category manager are turning to tech
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Real-Time Waiting Analytics
Retailers need a robust queue management system to eliminate friction points
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Preventing Queue Formation
Queuing up can become a costly friction point for brick-and-mortar retailers
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Expanding Sales with Demographic Data
Understanding gender-specific shopping trends helps retailers optimize resources.
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Customer Centric Staff Allocation
Retailers need a robust queue management system to eliminate friction points
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Staff Exclusion and Sales Performance
Real-time KPIs help retailers optimize performance across all locations
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Use-Based Cleaning
Smart Retail requires Smart Cleaning to enhance customer experience
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Group Shopping Analytics
Shopping habits change with company, aiding retailers in boosting sales
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Window Shopping Analytics
Tracking capture rates from window shoppers can boost store performance