Case Studies
Understanding the Effect of In-Store Mobile Device Usage
Overview
Analytics & Modeling - Real Time Analytics Functional Applications - Remote Monitoring & Control Systems | |
Retail | |
Business Operation Sales & Marketing | |
Retail Store Automation | |
Data Science Services System Integration | |
Operational Impact
Based on new findings from RetailNext, the retailer now plans to develop its apps for both platforms. | |
The retailer learned that the top commerce site visited was its own, followed by four e-commerce players. Further analysis of the searches on competing sites showed products that the retailer also stocks, providing impetus for competitive pricing and promotions on those items in-store. | |
By taking advantage of the level of granularity RetailNext’s insights provided, the retailer was able to identify its Shoes, Women’s, and Men’s departments as the ones most browsed online by in-store shoppers. Armed with this knowledge, the retailer is contemplating targeting shoppers in those departments on their mobile devices. | |
Quantitative Benefit
The retailer has more than 300 fashion department stores in 16 southern states. | |
Annual sales of over $3.5 billion. | |
In-store mobile device usage was almost 25% higher on weekends vs. weekdays. | |