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
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The relationship between gender and conversion rates
Retail Customer Journey Analysis
99% Counting accuracy
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:
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Understand how gender dynamics relate to different campaign types
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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:
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Optimize the customer experience
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Improve store concept by adapting to gender dynamics
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Match staff level and type to customer traffic
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Access a free Use Case PDF version now!
Fallstudien, RetailGenaue Fußgängerzählung bei einem Fahrradhändler
23 Stores use Xovis- Études de cas, Retail
Comptage précis des passages chez un détaillant de vélos
23 Stores use Xovis 
Fallstudien, RetailIn-Store Analytics Einzelhandel: O2 Mobile Shops
99% Counting accuracy