Know Your Customer: Gender Statistics in Retail
Challenge
Brick-and-mortar stores face pressure to improve conversion rates and basket sizes to compete with online shopping. Manual counting methods make it hard to get accurate visitor demographic data. Achieve these goals by understanding:
Real-time and historical trends in customer demographics
The relationship between gender and conversion rates
Solution
By digitizing brick-and-mortar locations, retailers can track visitor demographics over time and adjust sales strategies accordingly. Thanks to machine learning and artificial intelligence, in-store solutions can identify the gender of every visitor with a very high degree of accuracy. With this data and other KPIs, retailers can:
Understand how gender dynamics relate to different campaign types
Adjust marketing and product positioning based on demographic changes

sensalytics relies on sensors from Xovis for a wide range of retail use cases. The company has the know-how and commitment to help us meet the demands of our customers.
Benefits
With highly accurate real-time gender statistics from sensor-based solutions, retailers can:
Optimize the customer experience
Improve store concept by adapting to gender dynamics
Match staff level and type to customer traffic
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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