大奖：APMEX 借助 Google Optimize 360 将新用户收入翻倍
公司规模
Large Corporate
地区
- America
国家
- United States
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
适用行业
- 零售
适用功能
- 销售与市场营销
服务
- 数据科学服务
关于客户
根据 Internet Retailer 2016 年排名，APMEX 是排名第一的专业电子零售商。它是贵金属和金属相关信息的首要在线来源。该公司提供数千种金银和钱币产品，可轻松在线销售。APMEX 是一家大型公司，但其营销资源有限。尽管如此，该公司仍致力于为其在线客户提供礼宾级客户体验，类似于客户通过电话获得的个人体验。该公司的座右铭是“您持有的投资”，旨在与客户建立信任并为他们提供促进长期关系的体验。
挑战
APMEX 是美国最大的贵金属零售商之一，它面临着挑战。尽管公司规模庞大，但营销资源却十分有限。然而，该公司致力于为在线客户提供礼宾级客户体验，类似于客户通过电话获得的个性化体验。为了随时了解客户需求和电子商务的新兴趋势，APMEX 团队已经使用 Google Analytics 360 五年多了。他们正在寻找一种能够帮助他们提供更加个性化的客户体验的解决方案。
解决方案
APMEX 开始使用 Google Analytics 360 Suite 中的一款产品 Google Optimize 360 在其网站上启动新实验。该公司依靠 Optimize 360 为其网站用户带来个性化礼宾服务。他们测试了从创意与非创意、SEO 内容对参与度的影响、低效网页的转化率优化、新用户体验到不同产品的价格敏感度等所有内容。在一项测试中，访问 APMEX 查看白银价格的新用户获得了美国银鹰的限时优惠。该公司还使用 Analytics 360 建立了一个受众群体，该群体将银水牛硬币放入购物车后又放弃了购物车。那些在接下来的几天内返回 APMEX 的用户首先会在主页上看到银水牛。
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.
