RetailPulse Analytics

RetailPulse Analytics is a data intelligence firm that provides insights to brick-and-mortar retail chains on customer behavior and store performance.
Objective
To provide their retail clients with deeper, actionable insights into customer foot traffic, dwell times, and cross-store visitation patterns, enabling more effective marketing and store layout optimization.
Strategy
Partnered with Useful Networks' Precision Mobile Advertising & Performance Analytics platform to securely collect anonymized mobile presence data, analyze foot traffic, dwell times, and cross-visitation patterns, and assist with ad attribution.

RetailPulse Analytics

RetailPulse Analytics integrated Useful Networks' platform to enhance their data offerings to retail clients. The project focused on securely collecting anonymized mobile presence data from consented users, allowing RetailPulse to accurately measure foot traffic into physical retail locations. A key aspect was the ability to analyze dwell times – how long customers spent within specific store zones or the entire store – which was then correlated with sales data to identify high-performing areas and potential bottlenecks in store layouts. Furthermore, the platform provided insights into cross-visitation patterns, revealing customer journeys between different stores within a retail chain or even to competitor locations, offering valuable competitive intelligence. Useful Networks also enabled attribution modeling, helping RetailPulse's clients understand the direct impact of their mobile advertising campaigns on in-store visits.

RetailPulse Analytics partnered with Useful Networks' Precision Mobile Advertising & Performance Analytics platform. This enabled them to:

  • Anonymized Foot Traffic Data: Securely collect anonymized mobile presence data from consented users to understand visitation patterns to retail locations.
  • Dwell Time Analysis: Measure how long customers spent within specific store zones or entire stores, correlating this with sales data to identify high-performing areas and potential bottlenecks.
  • Cross-Visitation Insights: Analyze customer journeys between different stores within a chain or even competitor locations, providing valuable competitive intelligence.
  • Attribution Modeling: Help retail clients attribute online ad campaigns to in-store visits by understanding if users exposed to mobile ads subsequently visited a physical store.

Client Testimonial

"The insights we now provide our retail clients, powered by Useful Networks' analytics, are unparalleled. We can show them not just who is visiting their stores, but how long they stay and where else they go. This level of location intelligence has directly led to optimized marketing spend and significant improvements in store performance for our clients. Useful Networks is an essential partner for us."
— Marcus Thorne, CEO, RetailPulse Analytics

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