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Imperfect Foods Boosts Reactivations by 53% with Fivetran Integration
技术
- 平台即服务 (PaaS) - 应用开发平台
- 传感器 - 液体检测传感器
适用行业
- 水泥
- 食品与饮料
适用功能
- 采购
- 销售与市场营销
用例
- 时间敏感网络
- 基于使用的保险
挑战
Imperfect Foods 是一家致力于消除食物浪费的在线杂货商，在管理和利用其庞大的客户数据方面面临着重大挑战。由于拥有数十万客户和越来越多的数据源，该公司很难根据这些信息有效采取行动。由于缺乏客户数据的集中视图，因此很难了解哪些特征导致了高价值客户或哪些因素影响了客户的订购。 Imperfect Foods 需要一种方法来整合整个数据堆栈中的所有客户数据，以利用其进行营销激活，从而增加注册量和产品使用量。该公司的工程资源也有限，这使得情况变得更加复杂。
关于客户
Imperfect Foods 是一家领先的在线杂货商，成立于 2015 年，其使命是消除食物浪费并建立更好的食品系统。作为 B Corporation™ 认证公司，该公司直接与农民和生产商合作，拯救食品并将其直接送到客户家门口。迄今为止，Imperfect Foods 已从较小的后果中挽救了超过 1.59 亿磅的食物。该公司提供完全可定制的服务，比普通的杂货店购物更实惠、更环保。 Imperfect Foods 拥有数十万客户，拥有大量客户数据，需要有效管理和利用。
解决方案
Imperfect Foods 求助于 Snowflake、Fivetran 和 Hightouch 来创建连续的数据流。 Snowflake 被选为集中式数据平台来整合所有客户数据。该平台的简单性和易用性在这一决定中发挥了至关重要的作用。借助 Snowflake，Imperfect Foods 可以围绕订单数据、营销支出、营销归因等构建强大的数据模型，使营销团队能够提供更加个性化的参与并了解他们的努力对业务增长的影响。 Fivetran 用于自动化数据管道，从各种不同来源获取客户数据，包括后端数据库、客户调查、会计和库存数据以及电子表格数据。 Fivetran 支撑了 Imperfect Foods 的整个数据堆栈，增强了 Snowflake 的功能。 Hightouch 用于数据激活，使 Imperfect Foods 能够近乎实时地将客户数据自动同步到 Iterable 以进行生命周期营销，以及用于相似受众和重定向的各种广告平台。
运营影响
数量效益
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