实例探究 > National Department Store Aggressively Invests in Analytics Solutions

National Department Store Aggressively Invests in Analytics Solutions

公司规模
1,000+
地区
  • America
国家
  • United States
产品
  • RetailNext
技术栈
  • Video Analytics
  • WiFi Detection
  • Bluetooth
  • Point-of-Sale Systems
实施规模
  • Pilot projects
影响指标
  • Customer Satisfaction
  • Productivity Improvements
  • Revenue Growth
技术
  • 分析与建模 - 大数据分析
  • 分析与建模 - 预测分析
  • 应用基础设施与中间件 - 数据可视化
适用行业
  • 零售
适用功能
  • 商业运营
  • 销售与市场营销
服务
  • 数据科学服务
  • 系统集成
关于客户
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.
挑战
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.
解决方案
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.
运营影响
  • RetailNext quickly delivered favorable conversion statistics, including several never before available, such as conversion of fitting room traffic to sales.
  • The team used the test information as an integral component of the successful product line launch.
  • Several of the retailer’s other locations now use RetailNext on an ongoing basis.
数量效益
  • 20% of those who entered the store went to the fitting room. Average fitting room conversion was 67% for the four-week period during which the pop-up shop was open.
  • Of the women’s ready-to-wear traffic, on average, 62% stayed within the front of the shop. Only 38% traveled to the back of the shop.
  • During the first week of the shop’s opening, which overlapped with the Valentine’s Day holiday, men’s sportswear dwell conversion exceeded 30% (average for the entire period of the shop was 18% dwell conversion).
  • Across all four weeks, Saturdays were the most popular days to purchase men’s sportswear and tailored apparel.

Case Study missing?

Start adding your own!

Register with your work email and create a new case study profile for your business.

Add New Record

相关案例.

联系我们

欢迎与我们交流!
* Required
* Required
* Required
* Invalid email address
提交此表单,即表示您同意 IoT ONE 可以与您联系并分享洞察和营销信息。
不,谢谢,我不想收到来自 IoT ONE 的任何营销电子邮件。
提交

感谢您的信息!
我们会很快与你取得联系。