公司规模
Large Corporate
地区
- Asia
国家
- China
产品
- Google Attribution 360
技术栈
- Google Analytics 360 Suite
实施规模
- Enterprise-wide Deployment
影响指标
- Revenue Growth
- Productivity Improvements
技术
- 分析与建模 - 实时分析
适用行业
- 电子产品
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
联想是财富 500 强企业,也是全球排名第一的 PC 制造商。该公司是个人技术领域的领导者,为 160 多个国家的客户提供服务。联想以其创新的产品、高效的商业模式和强大而多元化的全球团队而闻名。该公司致力于追求卓越,并积极采用新的营销衡量最佳实践。联想在竞争极其激烈的消费电子市场中运营,并一直在寻找新的增长机会。
挑战
联想是全球领先的个人技术公司,在营销衡量方面面临挑战。该公司使用基于规则的衡量模型,允许多个渠道所有者对同一笔销售声称贡献。每个渠道单独报告结果,导致最终点击归因结果被夸大为实际销售额的 371%。这使得无法判断哪些营销投资真正推动了销售。联想对谁在购买什么也存在盲点。该公司希望有效地接触现有客户以推动重复购买。
解决方案
联想实施了 Google Attribution 360,结束了孤立地评估和优化每个渠道的做法。该工具使联想能够分析整个营销计划的执行情况,优化跨渠道支出,并分配营销预算以推动增量销售。在短短六个月内,Attribution 360 就呈现出了营销绩效的新图景。利用现有记录系统、网站分析和广告服务器的数据,使用跨渠道、部分信用重新分析销售情况。归因后,结果反映的是实际销售额。联想了解到,75% 的收入来自多点触控路径,48% 的参与活动跨越多个渠道。该公司还发现,比较购物引擎 (CSE) 提供的广告支出回报率 (ROAS) 比下一个最佳渠道高出 20%。
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
Remote Temperature Monitoring of Perishable Goods Saves Money
RMONI was facing temperature monitoring challenges in a cold chain business. A cold chain must be established and maintained to ensure goods have been properly refrigerated during every step of the process, making temperature monitoring a critical business function. Manual registration practice can be very costly, labor intensive and prone to mistakes.
Case Study
Predictive maintenance in Schneider Electric
Schneider Electric Le Vaudreuil factory in France is recognized by the World Economic Forum as one of the world’s top nine most advanced “lighthouse” sites, applying Fourth Industrial Revolution technologies at large scale. It was experiencing machine-health and unplanned downtime issues on a critical machine within their manufacturing process. They were looking for a solution that could easily leverage existing machine data feeds, be used by machine operators without requiring complex setup or extensive training, and with a fast return on investment.
Case Study
Cloud Solution for Energy Management Platform-Schneider Electric
Schneider Electric required a cloud solution for its energy management platform to manage high computational operations, which were essential for catering to client requirements. As the business involves storage and analysis of huge amounts of data, the company also needed a convenient and scalable storage solution to facilitate operations efficiently.
Case Study
Leveraging the IoT to Gain a Competitive Edge in International Competition
Many large manufacturers in and outside Japan are competing for larger market share in the same space, expecting a growing demand for projectors in the areas of entertainment, which requires glamor and strong visual performance as well as digital signage that can attract people’s attention. “It is becoming more and more difficult to differentiate ourselves with stand-alone hardware products,” says Kazuyuki Kitagawa, Director of Service & Support at Panasonic AVC Networks. “In order for Panasonic to grow market share and overall business, it is essential for us to develop solutions that deliver significant added value.” Panasonic believes projection failure and quality deterioration should never happen. This is what and has driven them to make their projectors IoT-enabled. More specifically, Panasonic has developed a system that collects data from projectors, visualizes detailed operational statuses, and predicts issues and address them before failure occurs. Their projectors are embedded with a variety of sensors that measure power supply, voltage, video input/ output signals, intake/exhaust air temperatures, cooling fan operations, and light bulb operating time. These sensors have been used to make the projector more intelligent, automatically suspending operation when the temperature rises excessively, and automatically switching light bulbs. Although this was a great first step, Panasonic projectors were still not equipped with any capability to send the data over a network.