Store Lighting and Measuring Its Impact on KPIs
Company Size
1,000+
Region
- Asia
- Europe
- Middle East
Country
- United States
Product
- RetailNext In-Store Analytics Solution
Tech Stack
- In-Store Analytics
- Real-Time Analytics
Implementation Scale
- Pilot projects
Impact Metrics
- Customer Satisfaction
- Productivity Improvements
- Revenue Growth
Technology Category
- Analytics & Modeling - Real Time Analytics
- Functional Applications - Remote Monitoring & Control Systems
Applicable Industries
- Retail
Applicable Functions
- Business Operation
- Sales & Marketing
Use Cases
- Retail Store Automation
Services
- Data Science Services
- System Integration
About The Customer
One of the world’s premier premium denim apparel brands with over 100 company-owned locations in North America, Europe, Asia, and the Middle East. This retailer remains a leader in premium apparel, continuously pushing industry standards for exceptional quality and service to new levels through the growth of its hybrid brand of fashion and innovation.
The Challenge
The retailer wanted to determine what impact changes to in-store lighting would have on store performance. Specifically, the retailer wanted to know how changes to the lighting scheme in the store would affect average daily traffic, average daily sales, conversion rate, average transaction value, sales per shopper, dwell, and capture rate.
The Solution
RetailNext established baseline metrics through the deployment of its in-store analytics solution in ten areas of the company’s flagship store to measure average dwell time, dwell rate, and exposure. The combination of those measurements with total store metrics provided an accurate “snapshot” of the current state of the store’s performance before piloting changes to in-store lighting. After two weeks of baseline measurement, the store implemented its lighting changes. With those changes made, the retailer measured the same metrics over the equivalent time period. Comparing pre-lighting changes to post-lighting changes gave the retailer an in-depth and accurate assessment of the impact the lighting changes had on store performance.
Operational Impact
Quantitative Benefit
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