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    1. Home
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    3. Know Your Customer: Gender Statistics in Retail
    A cheerful couple selects apples together, standing by a shopping cart in a bustling supermarket.
    Use cases, Retail

    Know Your Customer: Gender Statistics in Retail

    Understanding gender-specific shopping trends helps retailers optimize resources
    Download Use Case

    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: 

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      Real-time and historical trends in customer demographics

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      The relationship between gender and conversion rates

    • The upper section of a grand building showcases intricate metalwork and large windows.

      High-End Shopping Experience in Revived Ancient Market

      Tradition and innovation blend in Florence's market, where owners use Visionarea with Xovis data to gather visitor insights
      Read more

    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 

    Portrait in a professional setting, featuring a confident smile.

    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.

    Omar Tello CEO, sensalytics

    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!

    Download


    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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