Traffic Analytics

Improve store performance by evaluating it with reliable metrics

Traffic Analytics measures footfall in a store, passersby outside of it and the distribution of new and recurrent customers who visit a given location during a selected period. Beabloo solutions give you an advantage over online and offline competitors in the ever-changing retail ecosystem and growing market.

Improve store performance by evaluating it with reliable metrics

Traffic Analytics measures footfall in a store, passersby outside of it and the distribution of new and recurrent customers who visit a given location during a selected period. Beabloo solutions give you an advantage over online and offline competitors in the ever-changing retail ecosystem and growing market.

What will you achieve with Traffic Analytics?

What will you achieve with Traffic Analytics?

The Traffic Analytics solution will help you achieve performance improvements in your business with the right insights on the most important part of your business: the customers.

  • Measure trends, understand the performance of specific campaigns in stores and get a better understanding of how customers interact with the physical space. Gain insights about footfall in your stores, the number of visitors, new and recurrent customers, and other valuable information to run your business properly.
  • Access this data through our automated dashboard.
  • Benchmark your stores and identify which best practices should be applied to boost in-store deals. Track information from each store to carry out specific actions depending on their location and performance. Increase conversions by adjusting marketing campaigns by time and location.
  • Understand the potential of a store and its acquisition capabilities. Optimize store operations, opening hours and staffing levels to improve customer service and gain more satisfied customers.
  • Be more customer-centric. Know your customers better. Use our dashboard to gather all the data related to your visitors and see the trends. Determine customer loyalty, optimize peak-time performance, improve efficiency and increase the conversion rate.
  • Access relevant retail store KPIs: total passersby, total passes, total visitors, total visits, visitor recurrence, conversion rate and bounce rate.

Applications and characteristics of Traffic Analytics

Applications and characteristics of Traffic Analytics

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  • Traffic Analytics is provided by combining Wi-Fi and video analytics. For Wi-Fi analytics, Wi-Fi sensors are installed inside the store that track Wi-Fi-enabled devices and detect their location to estimate the traffic inside and outside the measured area. The same technology is used to measure recurrence, which is the number of new and recurrent visitors inside and outside of the store. For video analytics, zenithal cameras with vision sensors are installed on the ceiling to measure how many people pass through a door/gate and to identify the direction of the footfall (entrances and exits).
  • The Traffic Analytics Dashboard is cloud-based and updates every 24 hours. KPIs for all parent organizations (with their child organizations) or selected organizations are displayed.
  • Create dimensions and filters to compare data. For example, if your business has many brands, you can create a dimension called “brand.” Once this dimension is created, you can graphically compare the performance of each brand based on visitors, visits, time, and so on. Create as many dimensions as you want.
  • Filter data using various audience types, including new visitors, recurrent visitors and non-visitors.
  • Remotely access data through automated dashboards (currently only provided for Wi-Fi analytics).
  • ISO/IEC 27001:2013 certification, which confirms our commitment to information security.
  • Data APIs pull data from the Beabloo Data Cloud for various business applications.
  • User-friendly presentation of results on clear charts (compared by date, time, day, hour, etc.).
  • Data collected even in offline mode.
  • High accuracy.
  • Integration with key third-party vendors: Aruba, Cisco CMX, Cisco Meraki and Ruckus.
  • Customizable time intervals for comparing customer visit duration.
  • Customizable bounce rate to more accurately determine the number of unengaged customers that leave the store.
  • Algorithm to eliminate the presence of fixed, static and unwanted devices that generate noise in data consistency (such as printers or routers).
  • Can be used in all types of retail spaces, from brick & mortar stores to shopping malls, large event venues, supermarkets, convenience stores, and more.

Want to know more?

Learn how to integrate this retail analytics tool in your business.

Contact us for a demo. We will be in touch with you as soon as possible.

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