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VisitorMetrix

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Unlock in-store sales growth with traffic data you can rely on

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visitormetrix-device

Accurate footfall data can help you better understand the impact of marketing, optimize store staffing and improve store performance. Powered by computer vision and machine learning based artificial intelligence, VisitorMetrix is more than 95% accurate irrespective of store and lighting conditions. Get the most accurate visitor traffic data in real-time with VisitorMetrix.



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VF Brands

"Capillary has played a pivotal role in helping VF Brands improve our store performance significantly through the AI-powered VisitorMetrix™ which helps us understand store traffic and conversion ratio to optimise sales and marketing across all our stores."

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Pankaj Agarwal
Retail Director
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VisitorMetrix helps you

Get actionable insights to improve in-store conversion rates

Know your in-store conversion ratio and the “power hours” where most conversions take place. Compare real-time and historical traffic data across stores and regions to identify locations with the best conversion rates. Take necessary actions to improve performance across all locations

Optimise staffing by the minute and improve store efficiency

Optimise staff strength and set conversion goals based on store traffic data. Always schedule breaks and maintenance at the right time and even assist with loss prevention by scheduling staff to monitor exit when traffic is high

Know the full impact of your consumer engagement efforts

With real-time reports dashboard and CRM integration, VisitorMetrix adds the missing link to help you understand the full impact of your marketing. Measure conversions and redemptions at a store level to plan strategy or make real-time changes to improve performance instantly

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How is VisitorMetrix so accurate?

When compared to conventional people counters that use ‘blob detection’ algorithms, AI based VisitorMetrix is so much more capable

  • Conventional camera based blob detection algorithms

    Systems are incapable of accurately distinguishing between a human & other non-living objects

    not-accurate
  • Capillary’s AI based Machine Learning algorithm

    The algorithm is trained with over 3 million impressions of walk-ins from over 6 months of video footage in actual store setup

    3-million-impressions
  • Accuracy is highly compromised in variable light conditions

    Accuracy-is-highly-compromised
  • Immune to variations in light & environment

    Immune-to-variations-in-light
  • Conventional camera based blob detection algorithms

    Systems are incapable of accurately distinguishing between a human & other non-living objects

    not-accurate
  • Accuracy is highly compromised in variable light conditions

    Accuracy-is-highly-compromised
  • Capillary’s AI based Machine Learning algorithm

    The algorithm is trained with over 3 million impressions of walk-ins from over 6 months of video footage in actual store setup

    3-million-impressions
  • Immune to variations in light & environment

    Immune-to-variations-in-light
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Why go for VisitorMetrix?

  • accuracy

    95% accuracy in store based scenarios

  • no-duplicacy

    Eliminates all cases of over counting & excludes store staff count

  • bidirectional

    Bidirectional &
    group counting

  • detailed-analytics

    Machine learning based AI algorithm with real-time camera vision processing

  • configurable

    Highly configurable setup that is easy to install & maintain

  • artificial-intelligence

    Real-time reporting & detailed analytics integrated with Capillary Instore

  • high-uptime

    Hardware & firmware designed to ensure high availability & uptime

  • low-capital

    Low capital investment compared to other footfall solutions

Learn how a global lifestyle retailer unlocks additional 5% growth in store sales

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