公司规模
SME
地区
- Pacific
国家
- Australia
产品
- Google Analytics Intelligence Alerts
技术栈
- Google Analytics
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
用例
- 需求计划与预测
服务
- 数据科学服务
关于客户
Shoes of Prey 是一家零售网站,访问者可以在线设计、定制和购买手工制作的女鞋。作为一家新创业公司,该公司非常依赖对其产品的正面评价。该公司的联合创始人 Michael Fox 巧妙地结合使用 Google Analytics 和 Google Alerts 来随时了解与该品牌相关的在线意见和评论。对于 Shoes of Prey 来说,转化就是成功下单购买一双新鞋。该公司一直在寻找潜在的盈利机会,而 Google Analytics Intelligence Alerts 是一款让这项重要工作变得更容易的工具。
挑战
Shoes of Prey 是一家创新的定制鞋品牌和在线零售商店,该公司希望建立在线合作伙伴关系,从而获得销售机会。作为一家新成立的创业公司,该公司非常依赖对其产品的正面评价,因此及时了解网站和博客上关于 Shoes of Prey 的报道至关重要。该公司需要一种方法来监控其网站的流量,并确定哪些博客为其网站带来了最有价值的转化流量。由于他们使用 PayPal 进行付款处理,因此他们还面临着准确跟踪转化渠道的挑战。
解决方案
Shoes of Prey 使用 Google Analytics Intelligence Alerts 来揭示哪些博客为其网站带来了最有价值的转化流量。Google Analytics Intelligence 的工作原理是持续监控网站的流量,并在流量模式发生重大变化时向 Intelligence 报告添加自动警报。Shoes of Prey 监控 Intelligence Alerts 报告,以查找来自推荐网站的夜间流量异常峰值。然后,他们联系了排名靠前的推荐博客,目的是与他们合作发布后续文章。为了全面了解他们的转化率,他们还查看了网站的流量和停留时间,以了解哪些推荐网站效果最好。
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.