公司规模
Large Corporate
地区
- America
国家
- United States
产品
- Google Analytics Premium
技术栈
- Google Analytics
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Customer Satisfaction
- Digital Expertise
技术
- 分析与建模 - 实时分析
- 分析与建模 - 预测分析
适用行业
- 电子商务
- 零售
适用功能
- 销售与市场营销
- 商业运营
用例
- 质量预测分析
- 补货预测
服务
- 数据科学服务
关于客户
Gilt Groupe 是一个创新的在线购物平台,为会员提供最令人振奋的商品和体验。Gilt 提供即时访问顶级设计师品牌的内部渠道,零售价最高可享受 60% 的折扣。产品涵盖时尚、装饰、手工配料、旅行体验和越来越多城市的独特活动。自 2007 年推出以来,Gilt 一直致力于创造最快、最令人兴奋的在线购物体验。该公司努力确保所有客户从进入虚拟大门的那一刻到闪亮的盒子送到家门口的那一刻都能获得无与伦比的服务。作为一家专注于用户满意度和增长的数字化公司,Gilt 必须拥有全面的网络分析解决方案。
挑战
Gilt Groupe 是一家位于纽约市的私人购物网站,其目标是在用户层面获取更详细的信息,获取每次客户访问和接触点的详细数据,将网站数据连接到数据仓库,为网站带来更多合格流量并提高投资回报率,并将用户购买行为与人口统计数据进行交叉引用。该公司于 2011 年实施了 Google Analytics,取代了之前的解决方案。然而,Gilt 随后被 Google Analytics Premium 所吸引,以访问未抽样的数据并在用户层面获取更详细的信息,以便根据统计上可靠的数据做出决策。该公司希望检查更多种类的关键指标,以便更全面地了解客户。
解决方案
Gilt Groupe 实施了 Google Analytics Premium,它只需要非常有限的实施、服务和支持,但却提供了 Gilt 现在每天都在使用的一系列高级功能。该公司能够请求非抽样报告,这些报告提供了更准确的数据,并清晰地显示了测试和活动的结果。Gilt 使用了 20 个或更多的自定义变量,这为比较和分析以及 A/B 测试提供了更多机会。该公司利用 Google Analytics Premium 的高级功能创建决策模型来预测购买行为。Gilt 还采用了归因模型来了解用户如何在不同的营销接触点之间切换。该公司了解到,仅根据最后点击结果来开展营销工作可能会产生误导,而归因模型使 Gilt 能够找到有效填补营销渠道两端的最佳方法。
运营影响
数量效益
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
相关案例.
Case Study
Improving Production Line Efficiency with Ethernet Micro RTU Controller
Moxa was asked to provide a connectivity solution for one of the world's leading cosmetics companies. This multinational corporation, with retail presence in 130 countries, 23 global braches, and over 66,000 employees, sought to improve the efficiency of their production process by migrating from manual monitoring to an automatic productivity monitoring system. The production line was being monitored by ABB Real-TPI, a factory information system that offers data collection and analysis to improve plant efficiency. Due to software limitations, the customer needed an OPC server and a corresponding I/O solution to collect data from additional sensor devices for the Real-TPI system. The goal is to enable the factory information system to more thoroughly collect data from every corner of the production line. This will improve its ability to measure Overall Equipment Effectiveness (OEE) and translate into increased production efficiencies. System Requirements • Instant status updates while still consuming minimal bandwidth to relieve strain on limited factory networks • Interoperable with ABB Real-TPI • Small form factor appropriate for deployment where space is scarce • Remote software management and configuration to simplify operations
Case Study
Digital Retail Security Solutions
Sennco wanted to help its retail customers increase sales and profits by developing an innovative alarm system as opposed to conventional connected alarms that are permanently tethered to display products. These traditional security systems were cumbersome and intrusive to the customer shopping experience. Additionally, they provided no useful data or analytics.
Case Study
How Sirqul’s IoT Platform is Crafting Carrefour’s New In-Store Experiences
Carrefour Taiwan’s goal is to be completely digital by end of 2018. Out-dated manual methods for analysis and assumptions limited Carrefour’s ability to change the customer experience and were void of real-time decision-making capabilities. Rather than relying solely on sales data, assumptions, and disparate systems, Carrefour Taiwan’s CEO led an initiative to find a connected IoT solution that could give the team the ability to make real-time changes and more informed decisions. Prior to implementing, Carrefour struggled to address their conversion rates and did not have the proper insights into the customer decision-making process nor how to make an immediate impact without losing customer confidence.
Case Study
Ensures Cold Milk in Your Supermarket
As of 2014, AK-Centralen has over 1,500 Danish supermarkets equipped, and utilizes 16 operators, and is open 24 hours a day, 365 days a year. AK-Centralen needed the ability to monitor the cooling alarms from around the country, 24 hours a day, 365 days a year. Each and every time the door to a milk cooler or a freezer does not close properly, an alarm goes off on a computer screen in a control building in southwestern Odense. This type of alarm will go off approximately 140,000 times per year, equating to roughly 400 alarms in a 24-hour period. Should an alarm go off, then there is only a limited amount of time to act before dairy products or frozen pizza must be disposed of, and this type of waste can quickly start to cost a supermarket a great deal of money.
Case Study
Supermarket Energy Savings
The client had previously deployed a one-meter-per-store monitoring program. Given the manner in which energy consumption changes with external temperature, hour of the day, day of week and month of year, a single meter solution lacked the ability to detect the difference between a true problem and a changing store environment. Most importantly, a single meter solution could never identify root cause of energy consumption changes. This approach never reduced the number of truck-rolls or man-hours required to find and resolve issues.