National Department Store Aggressively Invests in Analytics Solutions
Company Size
1,000+
Region
- America
Country
- United States
Product
- RetailNext
Tech Stack
- Video Analytics
- WiFi Detection
- Bluetooth
- Point-of-Sale Systems
Implementation Scale
- Pilot projects
Impact Metrics
- Customer Satisfaction
- Productivity Improvements
- Revenue Growth
Technology Category
- Analytics & Modeling - Big Data Analytics
- Analytics & Modeling - Predictive Analytics
- Application Infrastructure & Middleware - Data Visualization
Applicable Industries
- Retail
Applicable Functions
- Business Operation
- Sales & Marketing
Services
- Data Science Services
- System Integration
About The Customer
The customer is a national department store chain that operates multiple locations across the United States. The store offers a wide range of products, including women's ready-to-wear, men's sportswear, and men's tailored apparel. The executive team is focused on increasing sales and targeting specific customer segments through strategic product launches and marketing initiatives. The store is known for its commitment to providing high-quality products and exceptional customer service. With a large customer base and significant market presence, the department store is continuously looking for innovative ways to enhance the shopping experience and drive revenue growth.
The Challenge
The executive team at a national department store wanted to target a specific customer segment with a new private label, with the expectation that it would increase sales. The new label included a full line of women’s ready-to-wear, men’s sportswear, and men’s tailored apparel. But before allocating funds for a national launch, the team wanted more insight into how shoppers would interact with the label and an idea of what they could expect in sales.
The Solution
They chose RetailNext as their analytics provider and set up a four-week pilot test to measure performance baselines and gather information. They designed a label-specific pop-up shop and placed it in a highly trafficked area with a large population of the intended customer segment. The pop-up shop also held a series of promotional events to garner interest and increase store traffic. The goals for the pilot test were to: 1) gather accurate performance metrics on overall traffic, category traffic, fitting room traffic, shopper interaction with displays, and conversions; and 2) determine the label’s ability to attract and sell items to the intended market segment.
Operational Impact
Quantitative Benefit
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