Dataiku + La Mutuelle Générale
公司规模
Large Corporate
地区
- Europe
国家
- France
产品
- Dataiku
技术栈
- Machine Learning
- Data Visualization
- Data Collection
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Customer Satisfaction
技术
- 分析与建模 - 预测分析
- 应用基础设施与中间件 - 数据交换与集成
适用功能
- 销售与市场营销
用例
- 补货预测
服务
- 数据科学服务
关于客户
La Mutuelle Générale 是一家法国保险公司，在保险市场拥有 70 多年的经验。该公司为 140 多万客户和 8,000 家企业客户提供服务，每年的营业额超过 11 亿欧元。该公司面临着保险行业的激烈竞争，近年来获取新客户的成本大幅上升。为了解决这个问题，该公司寻求开发一种销售决策支持工具，以帮助他们了解潜在客户并确定其优先次序。
挑战
法国保险公司 La Mutuelle Générale 拥有 70 多年的市场经验，服务超过 140 万客户和 8,000 家企业客户，每年营业额超过 11 亿欧元，但在客户获取方面却面临挑战。保险行业竞争激烈，各组织都在争相争取同一类型的客户。近年来，获取新客户的成本大幅增加。为了解决这个问题，La Mutuelle Générale 寻求开发一种销售决策支持工具，以帮助他们根据潜在客户的转化可能性及其潜在价值与获取成本的对比情况，了解潜在客户并确定其优先顺序。
解决方案
La Mutelle Générale 使用 Dataiku 开发了一套基于机器学习的系统，该系统通过为每个潜在客户分配单独的转化概率（无论该潜在客户是个人还是团体）来帮助销售人员确定工作优先级。他们首先查看现有客户的数据，特别是他们的获取成本和终身价值，以为每个潜在客户建立“相似客户”。该系统的最终结果是为销售人员提供了一种工具，通过提供两条需要考虑的信息，使他们能够更有效地确定潜在客户的优先级：转化可能性和收回获取成本的可能性。该团队还创建了一个包含这些数据的交互式地图，以便通过拜访附近的其他潜在客户，最大限度地减少拜访潜在客户的任何旅行。
运营影响
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