Provectus > 实例探究 > 预测客户流失以提高每次点击费用：Audiobooks.com 案例研究

预测客户流失以提高每次点击费用：Audiobooks.com 案例研究

技术

分析与建模 - 机器学习
分析与建模 - 预测分析

适用行业

石油和天然气
零售

适用功能

销售与市场营销

用例

运动预测
预测性维护

服务

数据科学服务
培训

关于客户

Audiobooks.com 是 RBmedia 的旗舰音频品牌，也是全球最大的有声读物出版公司，拥有超过 250,000 种由获奖演员讲述的独家图书。该公司向图书馆、学校和零售市场提供数字内容。

登录后查看完整内容

挑战

Audiobooks.com 希望通过利用 AI 预测客户流失情况来提高其数字平台上数字内容和有声读物的每次发行成本 (CPC)。

登录后查看完整内容

解决方案

Provectus 审查了现有的数据结构，从流失预测开始，为机器学习管道奠定了基础。在 Amazon SageMaker 和 Kubeflow Pipelines 之上实施的管道促进了流失预测的迭代特征工程，从而可以提高准确性并提供新数据的流失估计。

登录后查看完整内容

运营影响

The churn prediction model built by Provectus enabled Audiobooks.com to predict churning customers, reduce attrition rate, and improve CPC for selected audiobook titles. The model helped them to segment and target users more accurately, thus improving engagement, optimizing costs, driving more value for clients, and creating a more robust bottom line. The model allowed Audiobooks.com to analyze the specific reasons customers were about to churn, helping them devise strategies to efficiently counter attrition through personalized offerings, bonus programs, and other incentives. The model’s output streamlined manual marketing effort to reduce churn, making it possible for them not to spam users while also delivering the correct messaging at the right time. With the help of its new, highly accurate churn prediction model, Audiobooks.com managed to significantly reduce their monthly churn rate. The reduction in churn had an almost immediate impact on Cost per Circulation, book checkouts, and LTV, all of which strengthened their position in the digital content market.

登录后查看完整内容

数量效益

Significant reduction in customer churn rate
95% accuracy of churn prediction model
Proof of Concept completed and deployed in 5 weeks

登录后查看完整内容

Case Study missing?

Start adding your own!

Register with your work email and create a new case study profile for your business.

Add New Record

相关案例.

Taking Oil and Gas Exploration to the Next Level

DownUnder GeoSolutions (DUG) wanted to increase computing performance by 5 to 10 times to improve seismic processing. The solution must build on current architecture software investments without sacrificing existing software and scale computing without scaling IT infrastructure costs.

Shell uses the IoT for pipeline monitoring

Oil company Shell wants to take advantage of an internet of things (IoT) connectivity solution to improve the company’s monitoring capabilities for its operations in Nigeria.

Remote Wellhead Monitoring

Each wellhead was equipped with various sensors and meters that needed to be monitored and controlled from a central HMI, often miles away from the assets in the field. Redundant solar and wind generators were installed at each wellhead to support the electrical needs of the pumpstations, temperature meters, cameras, and cellular modules. In addition to asset management and remote control capabilities, data logging for remote surveillance and alarm notifications was a key demand from the customer. Terra Ferma’s solution needed to be power efficient, reliable, and capable of supporting high-bandwidth data-feeds. They needed a multi-link cellular connection to a central server that sustained reliable and redundant monitoring and control of flow meters, temperature sensors, power supply, and event-logging; including video and image files. This open-standard network needed to interface with the existing SCADA and proprietary network management software.

Refinery Saves Over $700,000 with Smart Wireless

One of the largest petroleum refineries in the world is equipped to refine various types of crude oil and manufacture various grades of fuel from motor gasoline to Aviation Turbine Fuel. Due to wear and tear, eight hydrogen valves in each refinery were leaking, and each cost $1800 per ton of hydrogen vented. The plant also had leakage on nearly 30 flare control hydrocarbon valves. The refinery wanted a continuous, online monitoring system that could catch leaks early, minimize hydrogen and hydrocarbon production losses, and improve safety for maintenance.

Predictive Maintenance for Gas Pipeline Compressors

CPG had a compression asset failure that interrupted service and had the potential to create customer dissatisfaction.

E.ON Gets Faster, Lower Cost Cycles with OpFlex Solutions

E.ON's plants ran 4000+ hours per year, now see fewer than 1000+ hours of profitable operation. E.ON needed a fast, reliable and low-cost cycle plants.

© 2015-2024 IoT ONE Limited | 隐私条款

联系我们

欢迎与我们交流!

感谢您的信息！
我们会很快与你取得联系。