Insights — Product Brief

Go beyond simple traffic counting to understand the full shopper journey, simplify A/B testing, measure and test innovative new store concepts to drive performance.

RetailNext Insights is a tailored advanced-analytics approach that goes beyond traffic and conversion to explain the complete in-store shopper experience. Using full-path analysis, dwell and engagement metrics, and kinetic maps, it answers specific business questions and lets you test new store concepts before rollout. This brief is for merchandising, store-design, and analytics teams who want to understand the behaviors driving their performance metrics.

What's inside.

What's inside:

Full-path analysis of individual and aggregate shopper journeys
Dwell, engagement, and kinetic maps that reveal top-performing areas
Staff-and-shopper interaction analysis
Segmenting shopper journeys by anonymized gender demographics
Testing store concepts, layouts, and merchandising before rollout
Machine-learning models for deeper, real-time insight

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Get the full product overview — capabilities, use cases, and how Insights fits into your retail operations.

Related Resources

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

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Multi-Brand Product Showrooms

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How UAE Electronics Retailer Makes Data-Driven Decisions

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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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Unpacking Consumer Trends for a Leading Arcade Game Center

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Ridgelinez, a strategy consulting firm, was looking for a reliable retail analytics partner to measure and analyze how customers are navigating and interacting with various gaming machines inside an arcade game center.

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Cover: Improving Fixture Performance & Sales through Interior Analytics

Improving Fixture Performance through Interior Analytics

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The retailer was looking to measure display and fixture performance in order to identify key in-store opportunities and make data-driven merchandising decisions.

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