Traffic Analytics — Product Brief

Collect and measure shopper behavior with industry-leading accuracy. Gain immediate insights into store performance with key metrics including traffic, conversion and ATV.

RetailNext Traffic Analytics is the definitive in-store traffic-counting experience — AI-accurate foot-traffic and conversion measurement, occupancy, passby and capture rate, dwell, heat maps, predicted traffic, and staffing recommendations in one platform. This brief is for retail operations, store, and analytics leaders who want a reliable single source of truth for how shoppers move through their stores and how to act on it.

What's inside.

What's inside:

ML-accurate traffic counting, group counting, and conversion
Occupancy, passby traffic, and capture-rate measurement
Heat maps, interior dwell, and direction maps
AI-predicted traffic and staffing recommendations
Real-time benchmarking against goals and peers
Anonymized gender demographics to align marketing with your store's visitors

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Related Resources

More reading based on the products and sectors in this brief.

Building Brick-and-Mortar With Data From Day One

Case Study

How DTC darling, Balsam Brands, leveraged traffic analytics to launch and scale a strategic retail presence across Balsam Hill and Balsam Hill Studio, achieving 31% labor savings and boosting entry rates up to 10% YoY in physical stores.

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Dave & Buster's: Transforming Operations With Analytics

Case Study

Dave & Buster’s shift to data-driven operations shows how retail analytics can transform a business. Using real-time insights instead of guesswork, management can better optimize staffing, investments, and promote transparency across locations.

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Brand Uncovers Labor Opportunities With In-Store Analytics

Case Study

Boggi Milano is an Italian brand in the market with 235 stores across more than 61 countries. In 2018, the team sought to improve its analysis of the brand’s store performance and looked to partner with an expert in in-store analytics.

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sales associates helping customers in a Daniel's Jewelers store

How A Legacy Jeweler Uses Store Traffic To Define Success

Case Study

Since 1948, Daniel’s Jewelers has been rapidly expanding in the USA and now boasts over 100 stores. They use RetailNext's Traffic 2.0 solution to enhance performance, optimize labor, and provide excellent customer service.

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How UAE Electronics Retailer Makes Data-Driven Decisions

Case Study

As the UAE’s leading multi-brand retailer, Sharaf DG consistently innovates its in-store experience. It implemented a data-sharing model in its stores powered by in-store analytics and other data sets to drive retail intelligence.

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