公司规模
Large Corporate
地区
- Europe
国家
- Spain
产品
- Google Optimize 360
- Google Analytics 360
技术栈
- Google Analytics
- Google Optimize
实施规模
- Enterprise-wide Deployment
影响指标
- Revenue Growth
- Customer Satisfaction
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
- 供应链可见性(SCV)
- 零售店自动化
服务
- 数据科学服务
- 系统集成
关于客户
Mango 是一家具有现代都市气息的全球时尚零售商。该公司于 1984 年在巴塞罗那开设了第一家门店,如今 Mango 在从秘鲁到阿塞拜疆的 111 个国家/地区的 2,200 多家门店销售其时尚且价格实惠的服装。最近,Mango 发现了一个新的挑战。Mango 网上商店的移动访问量正在飙升。事实上,该公司的 Google Analytics 360 帐户显示,62% 的网站流量来自移动设备,同比增长 50%。然而,尽管这些数字令人鼓舞,但该团队还发现移动交易数量仍然落后于桌面交易。
挑战
全球时尚零售商 Mango 的移动平台面临挑战。尽管移动流量同比增长 50%,占所有网站流量的 62%,但移动交易数量仍然落后于桌面交易。该公司希望改善移动购物体验并增加移动设备上的交易数量。他们需要了解用户在购买过程中所处的位置,包括:打开菜单、搜索(并点击)特定产品以及选择送货方式。他们还希望准确跟踪有多少用户到达了每个步骤,并了解用户在何处退出购买流程。
解决方案
Mango 使用 Google Analytics 360 制定了多个目标,这些目标有助于确定用户在购买过程中所处的位置。这可以更深入地了解移动购物体验的每个阶段,并揭示出需要改进的地方。根据 Mango 在 Analytics 360 中发现的见解,该团队提出了新想法,以改善移动购物体验并增加移动设备上的交易数量。他们使用 Google Optimize 360 进行网站测试并跟踪多个设备(包括手机和平板电脑屏幕)上的整个客户体验。他们收集的信息使他们能够进一步增强移动购物流程。他们测试了对提供给 Mango 移动购物者的收藏夹图标进行简单更改以及在产品列表页面中添加“添加”按钮。
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.