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    1. Home
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    3. Improving Capture Rates with Window Shopping Analytics
    A shopper examines vintage suitcases in a store window, holding multiple shopping bags.
    Use cases, Retail

    Improving Capture Rates with Window Shopping Analytics

    Tracking capture rates from window shoppers can boost store performance
    Download Use Case

    Challenge

    Basket size, sales per square foot and conversion rates are among the most relevant KPIs related to store performance in the retail industry. But retailers in different categories need to know what is happening outside of their stores to improve performance inside their stores. Advancing potential customers along the sales funnel starts before they enter the store.

    To measure the impact of storefront advertisement, layout and design, physical retailers need to know:

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      The percentage of passersby that enter the store

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      Physical obstacles that deter passersby from entering

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      Real-time changes affecting passerby interest

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      Which storefront areas engage or repel passersby

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      The demographic profile of passersby

    • A woman holding shopping bags browses clothing in a glass-fronted retail space.

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    Solution

    An automated data-capture solution can provide retailers with real-time and historical data about the behavior of window shoppers. Robust and weather-resistant data capture devices take the guesswork out of measuring capture rates by:

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      Capture accurate data on passerby entries   

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      Track the journey from storefront to sale 

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      Provide anonymous demographic data on passersby

    A woman with long hair and hoop earrings smiles subtly, looking to the side.

    Success in any project depends on accurate data, and visitor behavior analytics is no different. That's why Vemco can always rely on Xovis sensors. With a trusted partner that consistently delivers top-quality products and reliable support, we can provide the best solutions to all our customers.

    Armina Terza Global CMO, Vemco Group

    Benefits

    Increasing the number of visitors that enter your store increases the potential for more sales. Window shopping analytics can also help retailers:

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      Shorten testing periods on window displays

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      Align storefront marketing with passerby demographics

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      Test staff allocation to increase capture rates

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      Adjust physical barriers that create hesitation

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    Access a free Use Case PDF version now!

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      Shopping habits change with company, aiding retailers in boosting sales

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