技术
- 基础设施即服务 (IaaS) - 云数据库
- 平台即服务 (PaaS) - 应用开发平台
适用行业
- 教育
适用功能
- 销售与市场营销
服务
- 云规划/设计/实施服务
- 培训
关于客户
Memrise 成立于 2010 年,是一款语言学习应用程序,为传统学习方法提供了有趣且有效的替代方案。该应用程序有 189 个国家/地区超过 5000 万人使用,提供由语言专家开发的课程。用户可以通过桌面浏览器或智能手机应用程序访问这些课程。内容包括数千个人们用母语说话的视频片段。 Memrise 采用“免费增值”商业模式,提供基本内容的免费访问并对高级功能收费。
挑战
Memrise 是一款全球超过 5000 万人使用的语言学习应用程序,在识别客户参与度方面面临着重大挑战。尽管拥有强大的基于云的平台并致力于数据分析,但小型数据团队仍因编码、手动构建数据管道和修复损坏的 API 而不堪重负。随着客户群的增长,对更加集中的分析方法的需求变得越来越重要。该团队需要一种解决方案,让他们能够减少花在技术问题上的时间,而将更多时间花在分析数据上,以改善用户体验并推动业务增长。
解决方案
Memrise 选择 Fivetran 将 Amazon Web Services 中的 MySQL RDS 数据库连接到 Google BigQuery。这使得团队能够获取更多的交易数据源,例如 Stripe 和用于营销活动的各种在线广告服务。 Google Data Studio 用于数据分析和可视化。来自核心产品数据库的事件相关数据被认为特别重要,该数据库记录了用户如何与在线课程的每个阶段进行交互。通过将此事件数据与核心客户、产品和内容数据相结合,团队可以识别学习旅程何时出现问题,并查明课程中流失率高于平均水平的部分。 Fivetran 连接器还帮助营销、平台和产品团队评估其绩效并跟踪客户评级、评论和投诉。
运营影响
数量效益
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